Statistical Handling Data Coursework: High School
For this handling statistical data coursework I will be investigating the heights and weights of students of years 7 to 11 in High School. Although this is a fictitious school the data is based on a real school. I will look for a trend in the heights and weights of the students to see if the taller they are, the more they weigh. This is my hypothesis. My Null hypothesis is that there is no correlation between height and weight, and my Alternative hypothesis is that there is strong, positive correlation between them. I will then investigate the heights of boys in years 7 and compare them to the girls, and then do the same in year 11. I will then be able to compare these two sets of results. These are my second and third hypotheses.
I am carrying this investigation out because from my hypothesis I want to know whether students in the older years should be separated from the younger students in the lunch queues. This could be necessary because if the taller students are heavier, then the shorter ones will get hurt in the queue to lunch since students usually push their way to the front. So if the taller students are the older ones, then the year groups should be separated in the queue in order to prevent anyone getting hurt.
In order to carry out this investigation, I will need to collect the heights and weights of all the students in High School between and including years 7 to 11. Instead of collecting the data, I can find the information on an exam board website. This data is reliable because it is provided by the exam board and is based on real students, however, it may be unreliable because it is secondary data, not primary since I am not physically collectin...
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...rect guesses. They also provided a lot of inappropriate data such as their names which is inappropriate since isn’t worth investigating.
The data could be biased because it was only collected from one school and not from other areas in the country. The data may be biased because there may have been a lot of snack shops or fast food restaurants near the school, which may have affected the students’ weights.
I could have investigated further by using more than one school’s data and compared them and I could have had more hypothesise. This would have given more precise results due to a larger range and a larger sample.
I could have drawn more graphs and made more calculations to get more accurate results. For example I could have calculated the standard deviation for my three hypothesise to get a more accurate spread of data than the interquartile range.
When I did my first comparison of the two models I mention that one of the major fundamental differences has to do with the assessments of the teachers. In D...
...e been beneficial to the experiment. An error may have occurred due to the fact that measurements were taken by different individuals, so the calculations could have been inconsistent.
For this statistical inference, the question was whether the means were truly different or could they have been samples from the same population. To do draw a conclusion, we must first assume normal distribution. We must also set the null hypothesis to m1 - m2 = 0. And per this assignment we must set the a-level at .05 and the hypothesis alternative to m1 - m2 ¹ 0; thus requiring a two-tailed test.
...y. The small sample size made the results a little less reliable, especially since the subjects were taken from only one fire academy instead of multiple which created random bias.
3. U.S. Department of Education Institute of Education Sciences National Center for Education StatisticsInternational Year of Statistics 2013 (Statistics2013). "Fast Facts." Fast Facts. N.p., n.d. Web. 3 Dec. 2013. .
Government date shows that in the past thirty years, rate of being overweight in six to eleven year olds is up 19% and 6% in age 12 to 19. Without support, school lunches remain high in fat. (Finkelstien) According to the CDCP, obesity is double what it was in children and triple in adolescents since 1980. Many reforms were attempted to help this problem, but many inadvertently caused more problems. (Finkelstien) A 730 calorie lunch should have no more than 24 grams of fat and no more than 8 grams of it saturated yet the average USDA lunch has 31 grams of fat and 14 rams of it is saturated. (Yeoman) These very high levels of fat are why obesity is becoming worse in children. It can be concluded that school food is still extremely high in fat and this can be directly linked to the high rates of obesity in young children and
My subject is a nine year old female. She attends the fourth grade which is average for her age. Her height is four feet three inches, and her weight is eighty-five pounds. According to www.disabled-world.com average height for a nine year old female is “47 inches” or three feet nine inches, and the average weight is “63.8 Ibs.” This would mean that she is above average in both weight and height. Being above average in weight does not necessarily mean that a person is obese, it just means they are above average in weight for the population, and in my subjects situation off by just a little. In terms of BMI(Body Mass Index) my subject scored 23, which is in the normal range. This means that my subject is considered healthy in terms of weight, and because of this has a lower chance of getting diseases like diabetes, high blood pressure,heart disease, and high cholesterol levels.
A researcher determines that 42.7% of all downtown office buildings have ventilation problems. Is this a statistic or a parameter; explain your answer.
Taras, H., & Potts-Datema, W. (2005). Obesity and Student Performance at School. Journal of School Health, 75(8), 291.
Williamson, D. A., Han, H., Johnson, W. D., Martin, C. K., & Newton, R. L. (2013). Modification of the school cafeteria environment can impact childhood nutrition. Results from the Wise Mind and LA Health studies. Appetite, 61, 77–84. doi:10.1016/j.appet.2012.11.002
“Children Who Eat School Lunches More Likely to be Overweight.” University of Michigan Health System. American College of Cardiology, 13 Mar. 2010. Web. 19 Feb. 2012.
about one fourth (22%) of children and adolescents in the United States are overweight or
The two columns in the graph represent the mean values and the error lines represent the standard deviations of the tested grasshopper and human subject. The jumping distance of the grasshoppers was more than the jumping distance of humans and the TTEST value was less than 0.05.
The data set used for this assignment was the grades.sav data file. The variables used were gender, GPA, total, and final. GPA and final were used in the histogram scales, along with skewness, kurtosis values, and scatter plot. This assignment included a sample size of (N) 105.
...en young adults who attend college and those who do not attend and their levels of stress were all looked at. To examine this, participants were given a survey revealing about what is happening in their lives and asking questions on stress. A simple T-test was used to examine the data and it was a between-subject design. It was hypothesized that young adults who attend college experience more stress than young adults who do not attend college. The null hypothesis would be that both groups of young adults experience the same amount of stress. Lastly, my hypothesis could be wrong if it was discovered that young adults who are not in college experience more stress than young adults that to go to college. In this experiment, economic backgrounds of the participants were not looking into, so that could be a variable that could possibly change the outcome of the research.