Project Description: The Math 140 statistics course project tests your understanding of several statistical concepts covered in this course. You will be assigned one categorical variable and one quantitative variable from a dataset. Links to your assigned variables, as well as a link to the dataset, are provided below. A rubric for the assignment is provided at the end of this document. Composition of Project: The statistics project is composed of five parts: Part 1: Categorical Data Analysis (20 points) Part 2: One-Population Proportion Bootstrap Confidence Interval (45 points) Part 3: Quantitative Data Analysis (30 points) Part 4: One Population Mean Bootstrap Confidence Interval (45 points) Part 5: ANOVA (Analysis of Variance) Randomization Hypothesis Test (60 points) Project due date: The project is due by 11:59 pm. on June 2nd and is worth 200 points total. Acceptable Project Submission: The project is to be submitted into Canvas as either a Microsoft Word document or as a pdf file. Important links: -The ANOVA project directions: ANOVA Project.pdf
-The dataset from Excel: math_075_140_combined_survey_data_fall_2015.xlsx -The list of each students choice for categorical and quantitative variable: Student Project Datasets.docx -The template for the project: Math 140 Course Project Template.docx -An example completed project (note that there are a few mistakes deliberately placed into the example project – these are problem spots past students have encountered): Math 140 Course Project (Jason Moss).pdf Rubric: A B C D Explanation Gives a complete response with a detailed explanation. Gives a good solid response with clear explanation. Gives an some response with explanation. Gives unclear explanation. Demonstrated Knowledge Shows complete understanding of the questions and processes. Shows substantial understanding of the questions and processes. Shows some partial understanding of the questions and processes. Shows little to no understanding of the questions and processes. Requirements Meets or exceeds all the requirements of the problem. Meets or just meets the requirements of the problem. Meets some of the requirements of the problem. Meets few or no requirements of the problem.
Math Project