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Unit I - Descriptive Statistics	Unit II - Probability
Descriptive and Inferential Statistics Sampling Methods Types of Variables Independent and Dependent Variables Variable Measurement Scales Frequency Distributions and Cumulative Frequency Distributions Bar Graphs and Pie Charts Histograms and Stem & Leaf Plots Arithmetic Mean for Samples and Populations Central Tendency: Mean, Median, and Mode Variance and Standard Deviation of a Population Variance and Standard Deviation of a Sample Percentiles and Quartiles The Five Number Summary, Interquartile Range(IQR), and Boxplots The Effects of Outliers Skewness The Normal Curve and Empirical Rule Z-Scores (part one) Z-Scores (part two) Extra Z-Score Problems	The Basics of Probability Addition Rule (Probability “or”) Multiplication Rule (Probability “and”) Permutations Combinations Discrete and Continuous Random Variables Discrete Probability Distributions Probability Histograms Mean and Expected Value of Discrete Random Variables Variance and Standard Deviation of Discrete Random Variables The Law of Large Numbers Binomial Distribution Mean and Standard Deviation of Binomial Random Variables Poisson Distribution/Process Mean and Standard Deviation of Poisson Random Variables
Unit III - Correlation & Regression	Unit IV - Inferential Statistics
Coordinate (Cartesian) Planes Quadrants Scatter Plots Pearson’s r Correlation Hypothesis Testing with Pearson's r The Spearman Correlation Linear Regression Correlation vs. Causation	Parameters, Statistics, and Sampling Error Distribution of the Sample Mean The Central Limit Theorem Sample Proportions Confidence Intervals about the Mean, Population Standard Deviation Known Calculating Required Sample Size to Estimate Population Mean Student’s t-Distribution Confidence Intervals about the Mean, Population Standard Deviation Unknown Confidence Intervals for Population Proportions Calculating Required Sample Size to Estimate Population Proportions Null and Alternative Hypotheses Type I and Type II Errors One-Tailed and Two-Tailed Tests Effect Size Power Statistical vs. Practical Significance Independent and Dependent Samples One Sample z-Test One Sample z-Test for Proportions One Sample t-Test Independent Samples t-Test Confidence Intervals for Independent Samples t-Test Effect Size for Independent Samples t-Test t-test, Two Dependent Samples Confidence Intervals for Dependent Samples t-Test Effect Size for Dependent Samples t-Test z-Test for Proportions, Two Samples Confidence Intervals for the Difference of Two Proportions Introduction to ANOVA One-Way ANOVA Effect Size for One-Way ANOVA Post Hoc Tests for One-Way ANOVA Repeated-Measures ANOVA Factorial ANOVA, Two Independent Factors Factorial ANOVA, Two Dependent Factors Factorial ANOVA, Two Mixed Factors Chi-Square Goodness-of-Fit Test Chi-Square Test for Independence Mann-Whitney U Wilcoxon Signed-Ranks Test Kruskal-Wallis Test Friedman Test