final rendered version of my semester long project for R for Data Science, Fall '24

A university researcher is interested in understanding students’ beverage preferences to help campus dining services make informed decisions about which drinks to offer and in what quantities. The researcher surveys a group of students and asks each student to select their preferred beverage from four options: tea, coffee, soda, or water. The goal of the study is to determine whether students prefer these beverages equally or whether certain drinks are favored more than others. The results can be used to improve resource allocation, reduce waste, and support health-related initiatives on campus. Conduct the correct Chi-Square analysis to test the hypothesis. Start with Research Scenario A2. Download DatasetA2 (provided above). First, read Lecture 4: R Basics. Make sure you have downloaded RStudio and have a basic understanding of the RStudio layout. Next, read the overview sections of Lecture 5: Chi-Square Goodness of Fit. and Lecture 5: Chi-Square Test of Independence. Determine which Chi-Square test should be used to test the research question. Once you have selected the correcy Chi-Square test, read the full instructions line by line. Write the code line by line. Report your interpretation of the code as hashtags inside your RScript file. Save your RScript File. Once you have finished conducting the test, read Lecture 4: R Markdown & Rpubs Read the instructions line by line in order to create an RMarkdown file. Save your RMarkdown file. Next, create an Rpubs html document. Save your Rpubs URL. After you finish conducting the analysis for Research Scenario A2, repeat steps 1 through 6 for Research Scenario B2.

Food Expo Debrief

Ch 3 | Rethinking | Sampling the Imaginary