5.3.1 - StatKey Randomization Methods (Optional).

5.1 - Introduction to Hypothesis Testing.

4.6 - Impact of Sample Size on Confidence Intervals.

4.4.2.2 - Example: Difference in Dieting by Biological Sex.

4.4.2.1 - Example: Correlation Between Quiz & Exam Scores.

4.4.1.2 - Example: Difference in Mean Commute Times.

4.4.1.1 - Example: Proportion of Lactose Intolerant German Adults.

4.3.2 - Example: Bootstrap Distribution for Difference in Mean Exercise.

4.3.1 - Example: Bootstrap Distribution for Proportion of Peanuts.

4.2.1 - Interpreting Confidence Intervals.

4.2 - Introduction to Confidence Intervals.

4.1.1.2 - Coin Flipping (One Proportion).

3.5 - Relations between Multiple Variables.

3.4.2.2 - Example of Computing r by Hand (Optional).

3.4.2.1 - Formulas for Computing Pearson's r.

3.3 - One Quantitative and One Categorical Variable.

2.2.6 - Minitab: Central Tendency & Variability.

2.2.1 - Graphs: Dotplots and Histograms.

2.1.3.2.5.1 - Advanced Conditional Probability Applications.

2.1.3.2.1 - Disjoint & Independent Events.

2.1.2.1 - Minitab: Two-Way Contingency Table.

1.2.2.1 - Minitab: Simple Random Sampling.

1.1.2 - Explanatory & Response Variables.

1.1.1 - Categorical & Quantitative Variables.

(All images used in this website are from the public domain unless otherwise noted.) This course uses the textbook Statistics: Unlocking the Power of Data by Lock, Frazier Lock, Lock Morgan, Lock, & Lock. Below is an example from a student whose assignments are all due Tuesday night: Weekly Schedule Example WeekdayĬontinue to work through the readings and the WileyPLUS assignmentĬonfirm that all assignments have been submitte Students are encouraged to make a weekly schedule for themselves. We find that the most successful students in this course are those who do not wait until the last minute to complete assignments and those who post questions on the discussion boards. This is comparable to the resident version of the course where students meet with an instructor 4 hours per week in a classroom plus time outside of class completing assignments and preparing for exams.

As a time expectation, most students require 8-16 hours per week to be successful in the course.

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