Pre-Read

1. https://en.wikipedia.org/wiki/Standard_score
2. https://en.wikipedia.org/wiki/Student%27s_t-distribution
3. http://www.statsdirect.com/help/basics/p_values.htm
4. https://en.wikipedia.org/wiki/P-value
5. https://en.wikipedia.org/wiki/Analysis_of_variance
6. https://www.khanacademy.org/math/statistics-probability/analysis-of-variance-anova-library
7. https://en.wikipedia.org/wiki/Student%27s_t-test

Learning Objectives

1. Learn what Inferential Statistics is and why it is useful
2. Learn what z-score is and how it can be applied
3. Understand point-estimates and confidence intervals
4. Understand Hypothesis testing and related concepts
5. Learn one-sample and two-sample t-test, Chi-Squared Goodness-Of-Fit Test, and ANOVA

Hands-on Skills

1. Calculating z-score
2. Calculating point-estimates and confidence intervals around them
3. one-sample t-test
4. two-sample t-test
5. Chi-Squared Goodness-Of-Fit Test
6. ANOVA

Slides

@gslides

Notebooks

Code Demonstration

Assignments

TO BE UPDATED!!!!

Post Reads

1. http://blog.minitab.com/blog/adventures-in-statistics-2/how-to-correctly-interpret-p-values
2. http://blog.minitab.com/blog/adventures-in-statistics-2/why-are-p-value-misunderstandings-so-common
3. http://www.statisticshowto.com/probability-and-statistics/z-score/
4. http://www.statisticshowto.com/when-to-use-a-t-score-vs-z-score/
5. http://blog.minitab.com/blog/adventures-in-statistics-2/understanding-t-tests%3A-1-sample%2C-2-sample%2C-and-paired-t-tests