This week we are learning about ordinal/categorical, continuous, and dichotomous variables. Using the Gestation Demographics dataset provided in the Framingham Heart Study Dataset Excel workbook (look at the tabs on the lower left once you open the document in Excel), perform the following problems using R Studio or Excel. 1. Create a simple distribution graph (histogram) where we will explore the age of women after giving birth to their first child. Remember that a histogram consists of parallel vertical bars that show the frequency distribution of a quantitative variable in the graph. See the example in Introductory Statistics with R on pages 71-7 or pages 123-124 in EXCEL statistics: A quick guide. The area of each bar is equal to the frequency of items found in each class. 2. Determine the mean age of the women in the SEU Gestation Demographics. 3. We will be testing the hypothesis that assumes the mean age (? = ?0 ) for women is 37 years in the Gestation Demographics SEU dataset. H0 The mean age of women giving birth is 37 years old. (Null Hypothesis) H1 The mean age of women giving birth is not 37 years old. (Alternative Hypothesis) Present your findings in a Word document by copying and pasting the histogram into the document. After your analysis, state whether you accept or reject the null hypothesis and your reasoning why. A title page, an introduction, a discussion where you interpret the meaning of the histogram, and a conclusion should be included. Your submission should be 4 pages to discuss and display your findings. Provide support for your statements with in-text citations from a minimum of four scholarly, peer-reviewed articles. Two of these sources may be from the class readings, textbook, or lectures, but others must be external. Follow APA writing style Zero plagiarism More citation through the text
Categorical, continuous, and dichotomous variables
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