Here is the link to the data.
Please check you data for completeness make changes - you have editing power.
By next week you need to post a comment on how you would analyse this data.
Look at Chapters 1 and 2 of this blog for help.
https://docs.google.com/spreadsheet/ccc?key=0Ao5VdKkjuh89dFlFNXJNUjh6OWJIQVJQMkpVWTh4Z3c
PowerPoints can be downloaded from:
http://planet.uwc.ac.za/nisl/ESS_2012/ESS132/
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ReplyDeleteThere is a close link between weight and height which play a vital role in determining a bmi for example a student who's weight is 57kg,height of 1.68m and a bmi of 20.2. A student has a weight of 47kg and height of 1.65m and a bmi of 17.7. This clearly shows that a shift in both variables can cause a shift in the bmi
ReplyDeletethe data produced is likely to be continuous and so one could analyse the data according to the type of measurement in this case that measurement would be on a ratio level: has a standard interval and a meaningful zero. by putting the data in a frequency table and graph it would be easier to analyse. from that you can then calculate the central tendencey for the BMI and WHR by means of calculations.
ReplyDeletethe data we have collected shows that there are a close link between the BMI and the WHR because most likely the people with a high BMI has bigger ratio of the WHR and it seems that most of the people has a moderated or a low risk but in the other hand many of them are overweight, now are the BMI and WHR a good tool to measure a person's health?
ReplyDeletesince the data (variables) is in a table its better to analyse and measure your because the data are categories into groups like weight,height,length,hips,waist,BMI,WHR,risks,age and gender.It makes it much easier for a person to analyse and measure the data and afterwards makes a conclusion
ReplyDeleteOne cannot conclude on the given data as it does not fairly state the condition of one's health or risk. the Body Mass Index of persons in the data indicate that they are at risk and some are under weight, where as that is not the true case. therefore other measures, that show true reflection of what we are trying to prove hare should taken into consideration, because we cannot work based on false results.
ReplyDeleteaccording to the data we have collected i have notice that most of the peoples have a low risk which means that they are normal where there are a few that risk is very high at at a stage of obesity so according the above what can be the reason that so few people at a stage of obesity and so many normal is it because of their BMI and WHR or does your height and weight also plays an important role
ReplyDeleteaccoeding to the data we collected height and wieght play an important role in determining a persons health so does the (WHR) waist to hip ratio.The data indicated that the is a large percentage of students of normal wieght,The is also a patern between the (WHR) and the weight and height.
ReplyDeleteexample:if a persons
(WHR) waist to hip ratio is more than 100 and the wieght also more than 100 the is a higher chance that person might be obese
0
The data recorded is mainly continuous results which is measurements are nominal and in ratio form. A Frequency and relative Frequency table can be created for gender which can then in the end be displayed on a pie chart or bar chart to see distinctively the male and female comparisons. Scatter plots can be used for the variety of different weights or other measurements to see the similarities or outliers (obese, under weight or normal). Finding the mean of the different types of measurements will be very helpful to get a average of a certain measuring groups like the weight,BMI,WHR and height. In a similar way the mode can be calculated to retrieve the most occurring value where most students have the identical measurements but yet there BMI displays different results due to the WHR being a high value.
ReplyDeleteI would analyse the data by making use of graphs and tables. The main results that would be noted would be BMI and WHR,because they 'determine' the individuals health condition. There would be a clear indication of obese, normal and under weight students also those that are at low, moderate or high risk.
ReplyDeleteWe can analyse the data using bar graphs. Two bar graphs, one for BMI and another for WHR. There can be two categories namely males and females. We can have have headings and label each axis. All the given data will be presented in such a manner that makes it easy for one to read. This will help us tell whether we have a high rate of risk in those two categories (BMI and WHR). A comparison can also easily be made in terms of males and females
ReplyDeleteThis data is continuous. There are different ways in which we could analyze this data depending on what we wish to know. For example, if we wish to know the BMI and WHR scores of this sample group and the frequency thereof, we could arrange the BMI and WHR values in separate tables and plot them on separate histograms showing there frequencies. Classes would have to be made for example BMI between 20 and 22 as a class and so on. The frequency of each class can then be measured.
ReplyDeleteHowever, if we were more concerned about whether the sample group were on average healthy weight, overweight, underweight or obese; we would then be dealing with this data on a nominal level as the individuals will be grouped under one of these categories. These categories and their frequencies could then be plotted on a bar graph.
Using the latter method of analysis would provide information in a way that is easy to see, and inference about this sample groups physical health can be done swiftly by evaluating which of the categories is most frequent. However, using the former method of analysis the BMI and WHR values can be cross referenced to detect correlations between the two value sets, and thus provides another dimension by which this data can be analyzed. It also provides more precise results for each class.
The Body Mass Index (BMI) charts have been used for many years to assess ones weigth relative to their body body size. A BMI of over 25 generally indicates a higher health risk. However using BMI is a very weak predictor of wheather or not you're at risk. Measuring the relationship between you waist and hip is far more powerful.
ReplyDeleteThe BMI's biggest problem is to indicate where the person carries his or her weight, whereas the waist to hip ratio (WHR) measures a persons narrowest waist measurement to their widest hip measurement.Studies have shown that a persons weight carried around their waist area is way more dangerous than weight carried around the hip are and that is why the WHR is a more accurate indicator of health risks.
We can analyse the data by means of using four bar graphs. Two for male and female BMI's and the other two for male and female WHR's. When separating males from females we can more accuratley make conclusions because the build of an average male body is different to that of a female. We can then accurately make readings and conclusions of the statistics.
According to the results on the spreadsheet majority of the students are 'normal' and not at any risk. But there are a few that are at risk with BMI but not at risk with the WHR or vice versa.
The data can be analyzed using graphs which will show a clear distinction between the BMI and WHR ratios. Data can further be classed according to gender and/ or exercise routines.
ReplyDeleteData analysis
ReplyDeletePrecision was used in our data to determine the Body Mass Index and the Waist to Hip Ratio because decimals were rounded to the nearest whole number. When conducting our experiment data was collected as quarantine variables this was measured or observed (response variables.)The data scale also influences analysis and we used nominal objects (names assigned to classes) e.g. male and female in which case frequency also plays a role. We also used ratio levels where a basic standard interval exists with a meaningful zero e.g. Mass and no negative values were found. In summarizing our continuous data a frequency table can be used, using lowest and highest values and the classes of intervals but taking in account the people in the sample like all the students in our Environmental and Sustainability Studies class. A frequency bar graph (histogram) can be used where we can also calculate, to graphically represent relative frequency of data. For continuous data a line graph can also be used if sampling takes place over a period of time and is sequenced. Personally I think there is a problem with the correlation because there is no absolute conformity in use of the Body Mass Index and Waist to Hip Ratio in determining the condition of health as the BMI may not be a risk but the WHR will indicate that you are a risk.
Measures of location
Influential statistics can be used meaning statistics of location where data is summarized at central point. In central tendency the mode refers to the value occurring most frequently which corresponds to frequency distribution. An advantage of using the mode is that it is quick and easy for students to complete and useful for nominal data like male and female which we have used. A disadvantage is that it has poor sampling stability. The median is the value of equal number of observations on either side. It is not affected by extreme scores, for example if one person in the whole class was overweight and the rest had normal weight. The mean is the sum of all observations divided by the number of observations (sample in population); this could also be done easily for a number of students. It also provides sampling stability related to variance.
In conclusion the aim of collecting, analyzing and processing data would be statistics supporting or rejecting hypothesis such as whether University of the Western Cape Environmental and Sustainability Studies, first year students has similar profiles to for obesity recorded in Cape Town.
Thulani Gushman.3276368
ReplyDeleteThe data recorded is in the form of continouos variables and so the type of measurement one would use to analyse this datas is nominal and interval standard, as no one can have a BMI or WHR of zero.It owuld be helpful to construct a frequency table of BMI and WHR so we can determine the mean,mode and median BMI and WHR of the sample group.from that one would be able to tell if there is a pattern in the sample group.
The data is continuous since we are measured length, mass etc. Continuous variables are real numbers,we will round them off to the nearest decimal. The data will be devided into different categories that will represent BMI and WHR aswell as gender, exercise routine and age. we will use nominal and ratio level measurements. The data can either be summerised in a normal table or a frequency table. Once the data is summerised and grouped it can be represented in a histogram, bar graph, scatter graph or line graph, a histogram will be more acurate as it will show how much difference each category has with each other.
ReplyDeleteMikhyle Moos, 3227280
Seperate Males from females. The Data should then be seperated, BMI from WHR. The data here should then be put in a double bar graph, indicating males and females with 2 distinct colours.
ReplyDelete2 Pie Charts should be used to inform the reader who is at risk according to their BMI (Normal, underweight, overweight, obesity) and the 2nd pie chart, according to WHR. The pte charts would result by indicating in proportions the risk levels amoung the students in class. The sam colours should be used in the bar to prove proportions from males and females.
after analysing the data i found that the difference between males and females that are obese are not that great. it should be noted, however ,that most females are overweight and obese. also the shorter females are most likely to be overweight and obese. majority of the students are high risks are between the ages of 18-20. it would have been interesting to have had data from both 2nd years and 3rd years because i find it very difficult to establish a pattern as the data is very limited. one suggestion would be to compile the results onto a graph of some sort. it would have been better to analyse the data if the males were seperated from the females.
ReplyDeletempilo hlengwa 3207370
ReplyDeleteafter analysing the data for BMI and WHR what i found was that the data or the result are continous.the reason why we say they are continous it because we measured length and the figures were rounded off into decimal,the result can be represented by means of graph and this can be done by first constructing a table that has values for WHR and BMI result. after the result were analysed we could see that having a BMI that is regarded as being overweight does not mean that you health status is not on good condition the reason for that is because some people are muscular that orders and we all know that muscle are more heavier than the fat which m,eans on the BMI scale such people will be regarded as overweight and on the other hand the result display that some people are on the bad condition or are obese on the BMI but they are owk on the WHR and this lead to confusion i also suggest that the result need to be seperated in gender so that it can be more easier to analyse the data.
I think that one should maybe have separate graphs for males and females, i say this because males tend to be taller,have smaller hips and waists ,have more muscle than women and because we have more females than males in the class it would be fair to put the different sexes on different graphs. With the 2 separate graph's one can also make other conclusions such as which sex is more healthy and how factors such as waist and hip size as well as height play a part. i think a line graph would be the best representation because we can put the necessary information the X and Y axes. the line part of the graph can also make others understand the graph better. sometimes a pie or bar graph might confuse the general public.
ReplyDeleteThis data can be classified as continuous, seeing as we were working with measurements. The data we collected are known as quantitative variables (response variables) because we dealt with measured values (response variables).
ReplyDeleteThe two main types of measurements that we were working with were Nominal (Males and Females) and Ratio Level measurements (mass). Frequency plays a role in nominal measurements. A frequency table can be used to summarise the continuous data. For example, the waist to hip ratio (WHR) and the body mass index (BMI) can be separately tabulated to represent the values and the frequencies of the sample group. In order to do, one first needs to create intervals/classes for BMI values as well as for WHR values. Once the classes are decided upon, the frequencies can then be determined. The tabulated data can then be displayed graphically by plotting these values on histograms.
Nominal data can be presented on a table too. For example, the BMI categories (underweight, normal, overweight, obese) can be tabulated along with the frequencies, determined by using the collected data of the sample group. This, can too, be graphically represented in a histogram or pie chart. The same can be done with the WHR categories. One will be able to notice that there is a lack of absolute conformity of correlation between the WHR and the BMI (for example, one’s BMI will read overweight but the WHR ratio will read healthy). This is in fact a sign that the data is not very reliable.
Using inferential statistics, one could determine the mode, the mean as well the median of the data. There are, however, pros and cons of using the mode, mean and median for example the type of measurements one’s working with (nominal, ratio etc) and the sampling stability.
Once the full analysis has been completed, one will be able to determine whether the hypothesis is refuted or proved.
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ReplyDeleteBotomani Siyanda 3223879
ReplyDeleteIf I were to analyse the data I would make use of the data I would make use the BMI and WHR of each individual in the data. I would collect all the data and try to solve a possible way of analysing the data. The analysis would be about the BMI of a person versus the WHR of a person. I would best analyse the data using a graph, especially using a line graph. The whole analysis would begin with an investigative question, maybe say: What is the relationship between the BMI and the WHR of a person in determining the health of a person. I would give my Graph a heading like, A graph showing the BMI v.s the WHR of a person in relation to the health and after that I would plot the graph, thereafter make conclusions about the results on the graph whether a person is at normal weight, overweight or obese and whether a person is at risk or healthy.
The data we obtained is known to be continiuos, reason being that each person has undergone measurement of weight, length and so on. However, i feel that the WHR provides more sound and logical results than the BMI, because the BMI only provides weight and length. It does not indicate weather the majority mass of ones body consists of fat or muscle, whereas the WHR measures areas which provide more adequate results concerning ones health risk.
ReplyDeleteThis is proven as we look at the spreadsheat of the class. The vast majority shows good health but because of the inconsistincy of the vague results (BMI especially) ,it shows that some people are at health risk.
That is why I suggest categorising gender (because men and women are built differently), BMI, WHR, exercise frequency and age. The rounding off of real numbers is a given. Putting all these categories onto either a coloured bar graph distinguising between males and females or it could be used in a frequency table or histogram if one is looking to compare results. The more detail the more accurate the comparisons and most importantly the results as a whole.
Haroon Gafieldien 3267602
i think graphs has to be use to make the date more clear so that everyone would understand it.then statistical it can be analyze more.from the data is seems that the females are in danger but the class cant represent cape town cause of the sample size,it would be to small.
ReplyDeleteDATA ANALYSIS/REPORT
ReplyDeleteThe data shows that most people have different height in all scales, I've also found that if you have long height that doesn't mean you will have a larger number of BMI the same applies to those who have shorter height. I have also noticed that most of the people have moderate risk and low risk, And also that if you have a BMI over 25 you have moderate risk that can only mean you obese or overweight.Most Males have moderate risk compared to females this shows that males exercise more often compared to the ladies. I also found that people who have moderate risk are of age 18 years old. And also the reason that we find least people who are obese or overweight it is because the most of the people that on the data are of a younger age so that means they are physically active. I have noticed that people who are obese only exercise 1-3 times a week and they are females,and most people who are over the BMI of 25 are females.
data report
ReplyDeleteThe data is not much surprising as to what i expected. For example if one take a closer look as to how these variable are combined according to the females and males.Between males and females there is not a big difference in body mass index and waist to hip ratio. However BMI and WHR displays different result in many of the students. A quite number of people have got healthy normal BMIs while there different results for waist to hip ratio.The results are also indicates how much people do make use of some time during the week to exercise and maintain a certain amount of body weight. In the data, females use just little time to exercise. The data clarifies the differences of the participants and how much time they spend taking care of their bodies. What i have also take note of is the most variables are continuous and dynamic,therefore it should not be much considered to be only used to just determine the data. In an overall situation and response to the data, and what i can make out of it is my biggest problem on the body weight of the females.
The data can best be represented by means of 2 separate histograms due to the fact that we have males as well as females in the class. The histogram would be more suitable as not everybody is the same age and that can sometimes play a role when working with your BMI. The reason why I say we need to use 2 histograms is so that we can compare males to females and have a more accurate result for both sexes. Males tend to be more muscular and therefore tend to weigh more than females, whereas females have wider hips if one were to compare BMIs and waist-to-hip ratios. When attempting to compare the risk level of the class as a whole i would suggest a bar graph so as to better view, understand and compare how health/normal, overweight or obese we are.
ReplyDeleteThe data can be analyzed correcty if the sample size is a reasonable number. Also the fact that equal males and females needs to be included in the samole. Age also plays an important role as to how our BMI and WHR are affected. A bar graph would represent the information accurate enough in my opinoin.
ReplyDeletealia arnold 3228796
After analyzing the data, it is clear to me that yhe data can be organized by two seperate graphs(male/female)and furthermore by BMI and WHR. The data can be classified as continuous.
ReplyDeleteAfter conducting an experiment we analyze the data in order to compare results, hypothesis as well as other experiments.In this specific experiment, the data captured should be depicted as two line graphs showing the class averages of BMI(body mass index) and WHR(waist-hip ratio) respectively. In this way, data can be devised categorically and as a percentage. Further, age groups and gender groups have to be formed creating nominal measurements etc. This data(quantitative variables) is in the form of continuous data(inclusive of variables such as length and mass)which portrays accurate measurements and recordings
ReplyDeletethe body mass index is a number calculated a persons weight and height it is used worldwide to see how a persons weight relates to their height an ideal BMI is in the range of 18.5 to 24.9. If your BMI is 25 or more you are over your ideal weight for your height. WHR is the ratio of the circumference of the waist to that of the hips.Measuring in conjunction with the BMI normally results in a more accurate representation of the general health risk of the individual. the data produced is continuous as it measures height and weight. the measurements are nominal and ratio form. Frequecy histograms or graphs can be used for female and male comparison. The spreadsheet records that most of the students to be healthy and not at risk
ReplyDeleteour data on the spreadsheet is continuous because e are working with measurements. i'v seen on th spreadsheet that most of the students in my class are not at any risk. the people that are at risk, for being obese and overweight are mostly the females.
ReplyDeletethe data that we all collected shows that there is a close link between height and weight, height and weight is very important concerning ones health.
if your BMI states that you are overweight then it doesnt mean that your health condition is bad, you could be overweight beause you are 'big boned' as people would call it.
BMI- a measure of someones weight in relation to their height. overweight is a BMI greater than 25, obes is a BMI greater than 30.
values between 19 are too low,values above 25 are too high. BMI demonstrates how much effect a person's weight is on their health. BMI is often used to identify if a person is underweight, normal weight or obese but it does not indicate body fat percent. once you have calculated your BMI, you can determine your healthy weight range.
BMI determines whether your weight is in a healthy range based on your height
The data i have just observed shows a contradiction to the case study question at hand. Most of the students appear to be at a healthy ranking when it comes to the BMI however those that are overweight or obese seem to be females then males showing in this class majority of the weight is carried by the females, What was unusual that i had noted was that of the underweight students a hand were males. Although the appeared taller in height the weight the carry is quite unhealthy. When it comes to the WHR i noted that only 5 to 6 of our students are a high risk and more then half of them again are females. The class at large was a moderate risk to low risk. I looked at my BMI and found another female with similar weight, similar WHR but a way off BMI reading. I fell under overweight and she under healthy normal even with a BMI reading of 32.6 which makes me wonder of the accuracy of this case study if people are not being truthful even with anonymous data. Anywho the whole process of collecting this data was not unknown to me but what i did learn was The Waist to Hip ratio and its importance to life threatening diseases like Heart disease. I do know that there are more detailed analyses that even tackle body fat and bone mass and those clearly indicate the problem if there is one.
ReplyDeleteThe BMI data is very important, for everyone to know how much their weight is... but it seems the ladies take more in than the guys...but at-least most people are in a good state... not consisting the planet a lot... the more fat you are the you take in... you will be eating for a maximum of three persons...and putting your self at risk... so take it easy peepz....
ReplyDeleteAccording to the data observed, most of the students in class that are at risk for being overweight obese are female.
ReplyDeleteI think that it is mostly due to the occurring result of the waist to hip ratio (WHR).
The recorded data can be considered as continuous since we have only two distinctive groups (males and females) with the different variables.
The variables can be used to summarize clearly the recorded data on a line graph or a frequency table using the body mass index(BMI) versus the waist to hip ratio(WHR).
According to the results of this class, it doesn't seem like cape town is the fattest city. However, the females are at higher risk of obesity etc.
ReplyDeleteIn order to analyse this, you will have to sort the class according to ages.
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ReplyDeleteBy reading the data I have noticed that what may be a normal weight for some people is overweight or underweight for others. This is because of the variation in height , therefore when displaying the data we should seperated by the BODY MASS INDEX and the individuals height on the respective axis.
ReplyDeleteAlthough other factors such as the age would play a role in the level of physical activity of the individual as well as the socio - economic background of the individual where the more affluent have easier access to gyms and personal trainers and access to organically grown foods, the most important factors ultimately remain the height and BMI of the individual.
this data gives me an indication that some students have a normal weight, whereas Cape Times suggested that most of the Capetonians are obese or fat. accordind to our data we have foundout that the UWC students least of them are obese which has been led by eating a lot of junk food or by eating other kinds of food that can also lead to obesity or to overweight.
ReplyDeletesome people are exposed to recreational places in order to keep their bodies healthi and have a low risk of getting diseases
ReplyDeleteIn the analysis of the results we ar able to see that for some people their risk is different with either BMI or WHR. This is an indication that one of the formulas are correct or both are incorrect. The reason being there is no way of really telling how healthy you are by just using those factors. For instance maybe some of us like building our bodies for the summer time. The results for both though might still be a good enough indication and you should consult your doctor.
ReplyDeleteIn order to analyse the data I will plot a line graph of Body Mass Index verus Weight to Hip Ratio so that I will see whether there is somekind of a relationship between them or not.
ReplyDeletewhat i have realised is that the kind of lie style you live is the one that tends to influence one's weight, therefor this means what ever that a person puts in will play a cetain role in your weight. also one thing that i found intresting is the fact that one might see him/her self in a good weight only to realise that they are in great danger of being obess
ReplyDeleteThe data shows that most people have different height in all scales and can be classified as continues. I have niticed that most of the people have a low risk BMI where a few have a high risk BMI. The data also shows that there are a close link between the BMI and the WHR.The data can also be analyzed using graphs which will show a distinction between the BMI and WHR ratios.
ReplyDeleteThis comment has been removed by the author.
ReplyDeleteThis comment has been removed by the author.
ReplyDeleteThe data reveals that the are more students who are on a normal weight,than those who are over weight. The data also reveals that the students in low risk so that means that they are on healthy diet that is good for their health.
ReplyDeleteThe conclusion I have came to is that one's lifestyle determines your overall well-being.Generally people who exercise often are more likely to have low risk. However If one considers that muscle is heavier than fat, we could agree that the Body Mass Index of certain students could possibly be inaccurate.With regards to the presentation of the data, I would preferably opt for a scatter plot with the Body Mass Index and the Waist to Hip
ReplyDeleteRatio as my two variables. I would also include the concept of "Muscle being Heavier than fat" within my data, by using a separate table or graph.
what i found in the data is that female are fat than male , the bmi and whr is not corresponding.i will create a graph to indicator the data.and it will be easy to result and come up with conclusion. the data shows that male ara taller and they have musclular and females are at high risk of obesity , they are overweight.male on the other are underweight and their are at high risk.
ReplyDelete5 Questions:
ReplyDelete1.Does the Body Mass Index match the Weist to Hip Ratio as a measure of fattness or thinness of the human body?
2.Do UWC students have a similar profile for obesity that's been reported for Cape Town?
3a. Are females more at risk than males according to the BMI?
3b. Are females more at risk than males according to the WHR?
4.Do the students at the age of 20 or over equal Normal Healthy?
5.Are males according to to the WHR all at Moderate Risk?
Five Reasearch Questions :
ReplyDelete1. Does the Body Mass Index match the Waist to Hip Ratio as a measure of fatness or thinness of the human body?
2. Is there a difference in the mean Body Mass Index of women compared to that of men?
3. Is it possible to compare Waist to Hip Ratio with thier Body Mass Index and level of excercise and find a link within the data?
4. If the Body Mass Index of an individual is found to be too low or above what is considered "normal" can we recognise it by looking at ones weight and comparing it only to ones height?
5. Does ones age impact on the level of physical activity or excercise an individual takes part in ?
1. does the BMI match the WHR as a measure of fatness or thinness of the human body?
ReplyDelete2.is BMI and WHR reading accurate enough to prove if our students weight is healthy and normal?
3. can BMI and WHR readings give us an early warning of obesity and being overweight?
4.Do different age groups give an indication of whether younger or older people are more at risk of obesity and being overweight?
5. do mens metabolism prove to be faster than that of womens?
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ReplyDelete1.is the class females more at risk of heart attacks?
ReplyDelete2.does the bodymass index macth the waist to hip ratio?
3.does students with healthy normal health have a low heart attack risk?
4.what ratio of obesity is shown by students younger then 20 to them older?
5.does the amount of exercise have an impact on the students weight?
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ReplyDeleteThis comment has been removed by the author.
Delete5 questions:
ReplyDelete1. Does the Body mass index match the Waiste to hip ratio as a measure of fatness or thiness of the human body?
2. Does your age affect the outcome of your BMI?
3. Are females at higher risk of being overweight than males using your WHR?
4. Do your fitness levels have an effect on your BMI?
5. Do males have a higher BMI than females?
1. Does the Body Mass Index(BMI) match the waist to hip ratio(WHR)as a measure of fitness or thiness of the human body?
ReplyDelete2. Are females more likely to be at risk of obesity according to the Body Mass Index?
3. Is the average Waist to Hip ratio for men higher than that of Women?
4. Does your exercise routine have an effect on whether you are classified as low, moderate or high risk according to the Hip to Waist ratio?
5. Does the BMI results of UWC students confirm what has been stated about Cape Town?
The data is continuous. I would analyze the data by deviding the data into different groups. For the most part I would not take the Body Mass Index (BMI) as a reliable index to indicate the well being of a person. The Waist to Hip Ratio (WHR) is a more reliable index to indicate the well being of a person because it provides a shape of that person which indicates the amount of fat built up in the abdominal and hip area, and fat in these areas do represent the health of a person as abdominal can lead to various illness'. BMI is not a good indicator of bad health because some people might have muscular bodies or heavier bone densities. If they were to take a BMI test, they will most likely have a higher BMI than that of a person with similar height.
ReplyDeleteThat being said, I would trust the BMI test slightly for people who do not have regular exercise programs. Athletes would influence the data to the heavier side on just relying on the BMI. The WHR is better for everyone. We could look at the data and get standard classes of thin, normal and over weight, for example thin would be a WHR of 0,6-0,7 and so on. I would also split the data into males and females when using this index because females would generally have a smaller WHR.
I would record the results into two seperate graphs, one for each index. Both would be bar graphs. The BMI bar graph would be seperated into classes such as under weight between 16-19, normal health between 20-25 and over weight +25, and would get the tally of the data of the amount of people in each catergory amd draw my graph and work out an everage for the data set. When using the WHR index I would also devide the data into classes and draw my graph and also counting the tally for people in each class then find an average. At the end I would look at both graphs and compare the two and look at how they correspond.
Acording to my data analysis the way we live is infact has the influence on our body masses but the results can be clearly identified by means of graph.
ReplyDelete1. does the body mass index match the waist to hip ratio as a measure of fatness and thickness of the human body?
ReplyDelete2. are women more at risk of being overweight than men?
3. are short people prone to being obese?
4. do females live a more unhealthy lifestyle than men?
5. does age influence your body mass index
Five Reasearch Questions :
ReplyDelete1. Does the Body Mass Index match the Waist to Hip Ratio as a measure of fatness or thinness of the human body?
2. Does ones age have a direct impact on the amount of exercise an individual does?
3. Does the surroundings of an individual play a role on the types of food one eats?
4. Are women more likely to be obese than men?
5. Does excercise have an impact on the waist to hip ratio of all individuals?
1- Does the Body Mass Index match the waist to hip ratio as a measure of fatness and thickness of the human body?
ReplyDelete2- Is you lifestyle a reflection of your Body mass Index (BMI)?
3- Does the results of your Body Mass Index concern you?
4- Are you implementing measures to improve your Body Mass Index at this point in time?
5- Factors such as weight, height, waist to hip ratio and metabolism influences your Body Mass Index. Do you agree with this statement?
Questions:
ReplyDelete1.Does the BMI (Body Mass Index) match the Waist to Hip Ratio (WHR) as a evalution of the human body?
2.Does the gender of the student affect the overall outcome of the Waist to Hip Ratio?
3.Is there a direct link between a students Body Mass Index (BMI) and the magnitude of their physical expansion?
4.Does age affect the possible outcome of one's Body Mass Index (BMI)?
5.Are students who are regulary active more susceptable to have A Body Mass Index (BMI)which is above normal due to muscle tissue?
1. Does the Body Mass Index(BMI) match the Waiste to Hip Ratio (WHR) as a measure of fatness or thinness of the human body?
ReplyDelete2.Does BMI increase with age?
3.Is the BMI more accurate than the WHR or vice versa?
4.Are women more prone to being overweight?
5.Are men more prone to being overweight?
1. Does the BMI match the WHR as a measure of thiness or fatness of the human body?
ReplyDelete2. Is the age group of 20 years and older at a higher risk of obesity?
3. Is the BMI able to determine the difference between body fat and body muscle?
4. Do men have a higher BMI than women?
5. Does exercise play a big role in the BMI calculation?
1. Is there a difference between the average of male and female BMI?
ReplyDelete2. Does ones age play a particular role in BMI and WHR?
3. Does the BMI match your WHR as a measure of fatness or thinness of the human body?
4. Does your height influence your BMI?
5. Does the amount of times you excercise have a great impact on your BMI and WHR?
1: Does the Body Mass Index match the Waist to Hip Ratio as a measure of fattness or thinness of the human body?
ReplyDelete2: Is the Waist-To-Hip formula for women correct?
3: Does the area affect the eating pattern of individuals?
4: Is older age a (Age: 40 +) factor in the results of the BMI and WHR?
5: Does exercise play a role in the results of the BMI and WHR?
1.Does the Body mass index match the weight to hip ratio as a measure of fatness or thinness of the human body?
ReplyDelete2.Does the gender have an impact on the BMI?
3.Does the ages given have an impact on having a high BMI?
4.Does the WHR increase as age increases?
5.Is females risk of obesity higher than males according to BMI?
Tevya Lotriet_3100521
ReplyDelete5 Research questions:
1. Does the Body Mass Index match the Waist to Hip Ratio as a measure of fatness or thinness of the human body?
2. Does age influence the level of risk (low, moderate or high)?
3. Do females have a healthier waist to hip ratio then males?
4. Is the body mass index ratio a accurate measure of ones health?
5. Is the amount of physical activity one partakes in influenced by ones body mass index ratio?
Tevya Lotriet 3100521
1) Does the BMI match the WHR as a measure of fatness or thinness?
ReplyDelete2) Are males more underweight than females according to the BMI?
3) Is it safe to only use your BMI results to deduce that you are at a healthy state?
4) According to the WHR are women at a higher risk then men?
5) Is it safe to only consider your WHR to determine whether you are at risk?
1.Does the Body Mass Index(BMI) match the Weist to Hip Ratio(WHR) as a measure of fatness or thinness of the human body?
ReplyDelete2.Are all underweight students (male/female) under the age of 20?
3.Do male students have a higher BMI than the females?
4.Do female students have a higher WHR than the males?
5.Do all overweight students (male/female) have a WHR that shows low risk?
1.Does the Body Mass Index(BMI), match the waist to hip rotion(WHR) as a measure of fatness or thinness of the human body?
ReplyDelete2. Does the age of an individual play acetain role in determining male's body mass index?
3. If the person seems to have a big hip then does this affect ones BMI?
4. does a persons height and BMI play in determining ones Obessity?
5. Does a persons life style have a cetain role on hi/her weight?
1. Does the Body mass Index (BMI) match the Waist to Hip Ratio (WHR) as a measure of fatness or thiness of the human body?
ReplyDelete2. Does gender have an influence on the Waist to Hip Ratio (WHR)?
3. Is the Body Mass Index (BMI)on its own, a reliable index to judge the state of health of a person?
4. Does age influence the Body Mass Index (BMI) of a person?
5. Does weight have an impact on your Waist to Hip Ratio?
1. does the body mass index match the waist to hip ratio as a measure of fatness or thinness of the human body?
ReplyDelete2. is your body mass index influenced by your age?
3. does females have a higher waist to hip ratio than males?
4. which gender has a balance between both body mass index and waist to hip ratio?
5. does your body mass index reflect on your health conditions?
1: Are short men more prone to obesity ?
ReplyDelete2: Does gender effect Body Mass Index(BMI) ?
3: Does having a younger age effect your risk ?
4: Does having an older age effect your risk ?
5: Does the Body Mass Index(BMI) match the Waist to Hip Ratio (WHR) as a measure of fatness or thinness of the human body?
1. Is it important for me to know my BMI and WHR?
ReplyDelete2.Does it mean it I have high risk of geting diseas or viruses when my results reveal that i'am at high risk ?
3.Does it BMI or WHR influenced by the food we eat and how often we excise?
4.Does the BMI match the WHR as measure of fatness or thickness of the human body.
5.Which gender has the most high BMI?
RESEARCH QUESTIONS:
ReplyDelete(1)Does the body mass index (BMI) match the waist hip ratio (WHR)as a measure of fatness or thiness of the human body?
(2)Does female shows the greatest number in height category than males?
(3)Are males more obese than females in body mass index (BMI)?
(4)Do women with the greatest number of body mass index (BMI) at risk of getting obese?
(5)Does the body mass index (BMI)match the exercise period?
Does the age have to correspond with a certain weight of the body?
ReplyDeleteDoes the human body mass index match the waist to hip ratio as a measure of fatness or thinness of the human body?
Is the a relationship between the BMI and the WHR of a person in determining the health of a person?
Is the a close link between weight and height in determining the BMI of a person?
Does your BMI indicate the state of your health?
Are peolpe who exercise have a healthy BMI?
Research Questions
ReplyDelete1. Does the Body Mass Index match the Waist to Hip Ratio as a measure of fatness or thinness.
2. Does the age of of an individual determine their risk of being over weight?
3. Does the number of the low risk individuals in the mentioned data give an indication of the health of the UWC students?
4. According to the Weight To Hip Ratio, are females more at risk than men?
5.Does the number of times an individual exercises, determine their body mass index?
RESEACH QUESTIONS.
ReplyDelete1.Does the body mass index (BMI) match the waist hip ratio (WHR) as meassure of fitness and thiness of the human body?
2.Does high body mass index(BMI) and waist hip ratio (WHR)have an impact on obesity of males than females?
3.Do females with obesity at much risks of health than males?
4.Does the high waisthip ratio (WHR) of males result to low body mass index (BMI) than females?
5.Does males with low body mass index at low risks of health than females?
(1)Does the body mass index match the waist to hip ratio as a measure of fatness of the human body?
ReplyDelete(2)Does diet play a vital role determining ones body mass index?
(3)Is there a difference between hip to waist ratio between males and females?.
(4)Is there a correlation between height and ones body mass index?.
(5)Does age have an influence in determining the risk of becoming obese?
1. Does the body mass index (BMI) match the waist-hip ratio (WHR) as a measurement of fatness or thinness of the body?
ReplyDelete2. Does the WHR increase as females get older?
3. Are all females who exercise 1-3 times a month in the moderate risk zone in terms of WHR?
4. Is the average BMI of males between 18-20 in the healthy normal zone?
5. Do the average BMI of all 18 year old males correspond to that of all 18 year old females?
1) does the BMI match the WHR as a measure of fatness or thinness of the human body?
ReplyDelete2) if your BMI states that you are overweight, does it mean that your health condition is bad?
3) does the WHR determine the health risk of a person?
4) if your height is long then does it mean that the number of your BMI will be higher?
5) does age and gender contribute towards your BMI?
Zimele Vezi (3200873)
ReplyDeleteResearch Questions;
1. Does the body mass index match the waist to hip ratio as a measure of obesity or thinness of the human body?
2. Can the height of a person have an impact on the measure of obesity or thinness of the human body?
3. Does gender have an impact on the body mass index?
4. Do the people whom exercise have a higher Body Mass Index and waist to hip ratio?
5. Would women have a lower body mass index if they exercised more than men?
Raywin Eksteen 3255590
ReplyDelete1. Does the body mass index(BMI) correspond with the waist to hip ratio(WHR) as a measure of fatness or thinness of the human body?
2. According to the WHR, are males between the ages of 18 and 20 at a lower risk than males between the ages of 21 to 22?
3. According to the BMI are females between the ages of 21 to 22 more likely to be overweight than females between the ages of 18 to 20?
4. Are more woman overweight than men when looking at their BMI?
5. Are woman more overweight when than men when looking at their WHR?
1.Does the BMI match the WHR as a measore of fatness or thiness of the human body?
ReplyDelete2. Do males have a higher BMI than females?
3. Does obersity affect males more than females using body mass? 4.Does obersity choose gender? 5.Does the body mass higher in females than males?
Does the BMI match the WHR a measure of fatness or thinness of the human body?
ReplyDeleteDo women have a higher waist to hip ratio (WHR) compared to males?
Is the BMI and WHR of an individual affected by exercise?
The older one gets the higher the BMI is?
Are tall people most likely to be under weight?
1.does the BMI corresponding with WHR?
ReplyDelete2.are males and females at the age of 18 at high risk of obesity?
3.are males taller than females based on height?
4.are males at high risk of healthy at what age?
5.does physical activity impact the BMI and WHR of males and females?
1.Does the Body Mass Index match the Waist to Hip Ratio as a measure of fitness or fitness of the human body?
ReplyDelete2.Is there a correlation between the height and the weight of males?
3.Are females at more risk of becoming obese than males?
4.Is the risk of being obese related to the Waist to Hip Ratio?
5.Is there a possiblity that individuals who are overweight be healthy normal?
1. Does the Body Mass Index match the Waist to Hip Ratio as a measure of fatness or thinness of the human body?
ReplyDelete2. Would age affect your Body Mass Index and Waist to Hip Ratio as we get older?
3. Would the amount of exercise increase the Body Mass Index?
4. Would men generally have a higher BMI than females because of extra muscle fat?
5. Would females have a smaller Waist to Hip Ratio because they are generally built with a smaller bone structure and less muscle fat unlike males?
Thulani Gushman
ReplyDelete1.Does the Body Mass Index (BMI)match the Waist to Hip Ratio (WHR)as a measure of fatness or thinness of the human body?
2.Do men have a higher Body Mass Index then women?
3.Does height affect the Body Mass index?
4.Are older people less healthy according to the BMI?
5.Are men more over weight than Females using a BMI?
1.does the BMI match the WHR as a measure of fatness or thinnes of the human body?
ReplyDelete2.is the BMI accurate to all ages?
3.is the BMI calculated the same for woman as for men?
4.does your exercise routine effect your BMI?
5.According to WHR are females at higher risk than men
Questions..
ReplyDelete1) Does the Body Mass Index match the Waist to Hip ratio as a measure of fatness or thinness of the Human Body?
2) Are males at the age of 19 more at risk than females at the age of 19 according to their Body Mass Index and Waist to hip ratio?
3) Are more students obese than overweight according to their Body Mass Index?
4) Are students that are 175cm or shorter at higher risk than students that are taller than 175cm?
5) Do males have a higher average number than of body mass index than females?
1. Does the BMI match the WHR as a measure of plumpness or slimness of the body?
ReplyDelete2. Are females in the 18 – 19 year age group at a lower risk than those in the 20 and older age group?
3. Do people who exercise on a regular (1 – 2 days a week) basis have a higher BMI than those who do not exercise regularly (1 – 3 times a month)?
4. Do more people have a BMI and WHR which correspond in the healthy normal, low risk category than a BMI and WHR which correspond in the overweight, low risk category?
5. Are males who exercise on a regular basis (1 -2 times a week) more likely to have an obese BMI?
1.Does the Body Mass Index (BMI) match the Waist to Hip Ratio(WHR) as a measure of fatness or thinness of the human body?
ReplyDelete2.Does the amount of exercise affect the BMI and WHR of the human body?
3.Are women more at risk than men according to the WHR?
4.Does age have an effect on the BMI and WHR of the human body as we get old?
5.Are men more at risk than women according to the BMI?
Research Question
ReplyDelete1. Do females have a higher BMi than males?
2. Are males likely to have individuals that are unhealthy than females?
3. Do females have a lower WHR than males?
4.Are females in the age group of 18-20 more obese than males in the age group of 18-20?
5. are shorter females in height overweight than taller females.
five research questions.
ReplyDeleteDoes the BMI match the WHR as a measure of fatness or thiness of the human body?
Do men have a higher risk as women according to the results of their BMI?
when it comes to measure the BMI of human body does your height and weight plays a important role.
Do men that take part in bodybuilding have a higher risk of obseity than men that do not?
Is women more underweight then men?
1. Does the BMI match your WHR as a measure of fatness or thinness of the human body?
ReplyDelete2. Are the students who exercise less frequently have a high health risk?
3.Do males have a lower health health risk than females when looking at the BMI results?
4. Are the students above 20 years old have a higher BMI than the students below the age of 20 years old?
5. Are their more overweight women than males in the data?
This is a test using my google account.
ReplyDelete1. Does the BMI match the WHR as a measure of fatness or thinness of the human body?
ReplyDelete2. Do males' BMI, aged 18, correspond to females' BMI, aged 18?
3. Are more students obese than underweight according to their BMI?
4. DO people's BMI and the risks associated within that BMI range correspond with their appearance in reality?
5. Are most of the females more overweight than males?
1. Do men have lower Body Mass Index's(BMI) than woman?
ReplyDelete2. Do woman have lower Waiste to Hip Ratios(WHR) than men?
3. Are shorter people more prone to higher BMI's than taller people?
4. Are male students generally healthier than female students bassed on BMI and WHRs?
5. Will your MBI values drop if you excercise more?
1. Does the Body Mass Index match with the Waist to Hips Ratio as a measure of fatness or thinness of human body?
ReplyDelete2. Are the female qt higher risks than male?
3. Does the class data correspond to the profile reported by Janice?
4. Can height and age influence the BMI?
5. Are the given results( at risks, healthy...) credible?
1) does the BMI match the WHR as a measure of fatness or thinness of the human body?
ReplyDelete2) is it because of the different age groups that BMI differs?
3) does females have a higher BMI than males?
4) is it true that gender has a major impact on BMI?
5) is females at a greater risk of obesity than males?
1. Do females have a higher risk of obesity and being overweight than males?
ReplyDelete2. Does BMI and WHR correspond in terms of a person's weight?
3. What are some of the measures that can be taken to prevent the high levels of risk?
4. In this class,which gender carries the most risk?
5. Does age have anything to do with the results of stats taken?
1.Using the Waist to Hip Ratio index, is there a relationship between the age of a person and there health risks?
ReplyDelete2.Using the Body Mass Index as a measure for health, does gender influence a person’s health risk?
3.Using Body Mass Index as a health measurement, does a decreased exercise regime increase a person’s health risk?
4.In terms of Body Mass Index, does an increasing weight indicate a heightened health risk?
5. Does the BMI and WHR health assessments correspond with each other?