In this section you will expand your project to include your actual data set, descriptive statistics for your quantitative variables, and a discussion of your results so far. Your project should be submitted as a professional report including everything from Part 1 and 2 using the following template. (Part 1 of your project here) Sampling Method Based on the population identified in Part 1, describe an appropriate sampling technique to use for collecting data. Discuss how your participants will be identified/contacted; when and where will your study take place? For example, I might want to use a sample stratified by gender when looking at the relationship between study hours and GPA. To acquire my random sample within each strata, I might use a systematic sampling technique where I ask every 10th female or male entering RCF to participate. NOTE: Ideally every study would have a very carefully designed sampling method where every person in the population is equally likely to be in the sample. Unfortunately, we have a limited budget and timeline for our classroom projects. There are still weaknesses in my example above that would needed to be raised in the discussion of my results (see below). Data Collect your own data set using your survey and following the plan you set out in part 1. You should have at least 20 cases (subjects). In order to satisfy good ethical practices, if you plan to survey human subjects, it is essential that they consent to being surveyed and that their information is protected. Please do not pressure anyone to participate and please keep identities confidential. Participant 1 2 .. .. Variable 1:(insert var name here) enter data ….. ….. ….. Variable 2:(insert var name here) ….. ….. ….. Descriptive Statistics for Briefly introduce your variable and report the summary statistics (mean, standard deviation, 5-number summary and IQR). Create both a histogram and modified boxplot for variable 1. You can choose what technology to use, but it must look professional (hand drawn histograms or boxplots will receive no credit). Indicate what technology was used and a brief description of the process. Use the histograms and boxplots to describe the distribution. Discuss the shape (modality, symmetry/skew) and unusual features of your data. For the boxplot report the fences and any outliers, sharing the formula/calculations used. Compare the mean and median, discussing whether the mean or median is a better measure of center and explain why. Compare the standard deviation and IQR, discussing which is the better measure of spread. Explain why. Descriptive Statistics for Briefly introduce your variable and report the summary statistics (mean, standard deviation, 5-number summary and IQR). Create both a histogram and modified boxplot for variable 2. You can choose what technology to use, but it must look professional (hand drawn histograms or boxplots will receive no credit). Indicate what technology was used and a brief description of the process. Use the histograms and boxplots to describe the distribution. Discuss the shape (modality, symmetry/skew) and unusual features of your data. For the boxplot report the fences and any outliers, sharing the formula/calculations used. Compare the mean and median, discussing whether the mean or median is a better measure of center and explain why. Compare the standard deviation and IQR, discussing which is the better measure of spread. Explain why. Discussion Based on the analysis above, discuss at least 2 interesting results from your analysis. For example, when looking at data about the hours students study, I might be surprised at the variation among students and discuss how this is demonstrated by the measures of spread found.
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