Quantitative Survey Group: Conduct a survey of at least 50 randomly selected individuals to estimate the mean of a quantitative variable. Example: Ask UTA students how many hours of sleep they got last night (or on a typical weeknight). Use the sample data to estimate the mean amount of sleep a UTA student gets on a typical weeknight. One could obtain demographic information as well for comparison. The Statistics There exist two main statistical summary opportunities within the project. The first one involves descriptive statistics, for which your group will gather, summarize, and display summaries of data obtained from some sector of the community. The other involves inferential statistics, whereby every student will analyze the data and test appropriate hypotheses about the represented population. Each group will submit a descriptive draft in Canvas; each student will submit a written, final draft to communicate findings and conclusions in Canvas. The drafts must be completed and uploaded as Microsoft Word documents. Canvas utilizes a plagiarism detection program called UniCheck. Graphs or other displays should be included in the Word document. Part I: Descriptive Draft (Descriptive Statistics) Each group will choose a topic of interest and collect data by conducting a survey or performing a simple experiment. The sample size for a survey should be at least 50; the sample size for experiments, at least 20. Each group will submit a descriptive draft to portray the data that was collected, explain the variable or variables being summarized and displayed, and why that variable was chosen. Organization of the descriptive draft should be as follows: (Project Templates are included on the final two pages of these instructions. The Descriptive Draft should include the Introduction, Method, Preliminary Findings, References, and Appendix.) Introduction: One or two paragraphs introducing and detailing the project topic, how inquiry(ies) were conducted, and the relevance of the groups project to a well-defined community. Include any national statistics that support the importance of the issue or that will be used for comparison to the data. This section should end with a one-sentence purpose statement and primary research question(s). Method: Two or three paragraphs containing the details of the groups study, a description of the research objective(s)/hypothesis(es), type of study, participants, variables measured, and sampling technique. Numerical summaries and graphs of the data should be embedded throughout this section, along with the descriptions. Provide at least 3 different numerical summaries and displays of the data, as appropriate for the chosen topic and variable(s). Examples may include mean, median, standard deviation, 5-number summary, linear correlation coefficient, and/or linear regression equation; pie chart, Pareto chart, frequency/relative frequency distribution, histogram, stem-and-leaf plot, and/or scatter plot. Data I would suggest to create Quantitative Survey Group and present the relation between fast-food consumption and obesity, if it is ok. I collected some data, while doing my job because I am constantly in contact with people, and I work 5 days a week, 12 + hrs a day. I did it with permission of our field operations manager. I was surveying adult people on fast-food consumption. I was asking how often people eat fast-food. I was surveying conscious and alert patients in the ambulance, nurses in the ERs, coworkers. I did not survey prisoners, pediatrics or pregnant patients. 1). This is what I got: Total people surveyed 50 People who eat fast food at least once a day 29 People overweight or obese 21 I need atleast 5 sources on Obesity and fast foods
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