Course Description: This course is an introduction to descriptive statistics, probability and its applications, statistical inference and hypothesis testing, predictive statistics and linear regression.
Textbook: Wallace, T. (2023). "Exploring Introductory Statistics" 4th Ed.
Chapter 1: Introduction to Statistics
1.1 - Vocabulary of Statistics
1.2 - Frequency Tables
1.3 - Histograms and Box Plots
1.4 - Polygons and Ogives
Chapter 2: Descriptive Statistics
2.1 - Measures of Center
2.2 - Measures of Spread
2.3 - Z-Scores
2.4 - The Empirical Rule
Chapter 3: Introduction to Probability
3.1 - Probability and Formulas
3.2 - Contingency tables
3.3 - Discrete Probability Distributions
3.4 - Binomial Distribution
Chapter 4: Continuous Probability Distributions
4.1 - The Uniform Distribution
4.2 - The Standard Normal Distribution
4.3 - Normal Distribution
4.4 - Central Limit Theorem
Chapter 5: Inferences with Proportions
5.1 - Introduction to Inferential Statistics
5.2 - Confidence Interval for Proportions
5.3 - Hypothesis Test for One Proportion
5.4 - Hypothesis Test for Two Proportions
Chapter 6: Inferences with Means
6.1 - Confidence Interval for Means
6.2 - Hypothesis Testing for a Single Mean
6.3 - Hypothesis Test for Matched Pairs
6.4 - Hypothesis Test for Two Means
Chapter 7: Correlation and Regression
7.1 - Correlation
7.2 - The Regression Equation
7.3 - Confidence Interval for Slope of Regression Line
7.4 - Hypothesis Test For Regression
Chapter 8: Other Hypothesis Tests
8.1 - Hypothesis Test for Variance
8.2 - Hypothesis Test for Goodness-of-fit
8.3 - Hypothesis Test for Independence
8.4 - Hypothesis Test for Several Means
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