PowerPoint presentations:
(please remember, it is expected that the students will read their texbook in addition to the PowerPoint lessons to have a more full understanding of the coursework)
Ch 1.2 Quantitative Data – graphs
Ch 1.3 Quantitative Data – Numbers
Ch 2.1 Location in a distribution
Ch 3.1 Scatterplots & Correlation
Ch 5.1 Randomness, Probability, & Simulation
Ch 5.3 Conditional Probability & Independence
Ch 6.1 Discrete vs Continuous Random Variabes
Ch 6.2 Transforming / Combining Random Variables
Ch 6.3 Binomial & Geometric DIstributions
Ch 7.1 Sampling Distributions – Intro
Ch 8.1 Confidence Intervals – Basics
Ch 8.2 Confidence Intervals – Proportions
Ch 8.3 Confidence Intervals – Means
Ch 9.1 Significance Tests – Basics
Ch 9.2 Significance Tests – Proportions
Ch 9.3 Significance Tests – Means
Ch 10.1 Comparing Two Proportions
Ch 11.1 Chi2 Goodness of Fit Test
Ch 11.2 Chi2 – Independence / Homogeneity
Ch 12.1 Linear Regression – Significance test for Slope
Ch 12.2 Transforming to Acheive Linearity