Alex John Quijano
12/08/2021
Monday, December 13, 2021. 9:00 AM
Quick Guidelines:
Take-Home Exam with 48-hr submission limit
2 parts, 10 questions each
Open Notes, Open Book, Open Friends, Open Mind. Each student must take ownership of their work. We will be invoking the honor system.
Must be done using Rmarkdown, and must be submitted as knitted PDF.
The majority of the exam is similar to the problems done in Homework.
For more details visit the Exams page in the course website.
What’s going to be on the test?
What will the test questions be like?
What content would be helpful in answering test questions?
How should I be studying for the final exam?
Part 1 - Inference for Proportions and Means
Given a data set (CSV) and a problem statement.
Creating basic plots and a little bit of probability problem.
Write the null and hypothesis statements (in sentences and mathematical symbols). This depend on what variables are involved.
Performing the hypothesis test and confidence intervals (using simulation and theoretical methods).
Interpreting the p-value and confidence intervals in the context of the problem.
Part 2 - Inference for Linear Regression
Given a data set (CSV) and a problem statement.
Write the null and hypothesis statements (in sentences and mathematical symbols).
Perform the least squares method in R to compute the slope and intercept.
Interpreting the slope and intercept in context.
Perform a residual analysis and evaluate whether the conditions for inference are satisfied.
Conducting the hypothesis test and confidence interval and interpreting the results.
How should I be studying for the exam?
I recommend going through the Lab demonstrations for R coding.
Go through Homework problems and solution to see what kind of answers I am looking for.
We will use the remaining time for Question-Answering.
We will complete the Basic Statistics Reference Table.
Discuss how we might use the table.
Last minute questions regarding assignments.
Goodbyes :-( and students evaluations.