capstone project-doing exercise - The Research of Doing Exercises University of Utah undergraduate students doing exercises per week OIS 2340-003 Ke Lin

# capstone project-doing exercise - The Research of Doing...

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The Research of Doing Exercises -- University of Utah undergraduate students doing exercises per week OIS 2340 -003 Ke Lin (u0778544) Jing Zhou (u0777998) Xiantong Wang (u0784189) Yajing Sun (u0777995)  1 / 9 Executive Summary . How we collected data Several days ago, we did a research about a sample of the time of doing exercise of undergraduate students in the University of Utah. In order to collect statistics, we made more than 150 questionnaires and gave them out to a random of students and most of them were very active in completing our question. By asking them one simple question that “How much time do you spend in doing exercises per week”? we finally got 118 answers back from them. The reason why we chose questionnaires as our method is that it can help us collect a large amount of data and the results are more universal and real. After we got these results, we put them into Excel. By using equations and what we have learned in class, we calculated some necessary statistics, such as mean, standard deviation and standard error of mean. . Objective and Description In order to know how long do colleges students spend in doing exercises every week, we did this survey. By analyzing the original statistics we collected and the Excel outputs, then we decided the confidence level and alpha, we made our hypothesis. We considered null hypothesis as the average hours of doing exercises per week is 9 hours or more, and our alternative hypothesis is the average time of doing exercises per week is less than 9 hours. By calculating these data, we got some results to help us prove our hypothesis. . Results and Meanings We chose the sample size of 118 undergraduate students of the University of Utah, and by computing the hours they told us in the Excel sheet, we calculated the sample mean of 9.58, the standard deviation of 5, and standard error of 0.46. And then we used these data to calculate the confidence interval, which is (8.68, 10.48). It means when confidence level is 95%, there are 95% probabilities that the actual mean is within 8.68 and 10.48. Furthermore, we also found test statistics and by looking up in z- value chart, we got p-value equals to 0.8962. P-value indicates the probability when our null hypothesis is rejected. In other words, there is an 89.62% chance of the  • • • 