14 modules covering 12 lectures on a variety of topics within Statistics.
• Two Branches of Statistics: Descriptive Statistics or Inferential Statistics
• Sampling
• Level of Measurement
• Graphs and Tables; - Frequency Graphs; - Histograms ;
• Measure of Central Tendency; -  Mean, Median, Mode; -  Variability (Spread) ;
• Calculating Standard Deviation using MS Excel ; -  Z-Score and Raw Score ; -  Normal Curve ;
• Estimates, Z-Score, Standard Deviation    ; -  Samples ; -  Population;
• Hypothesis Testing ; -  Logic of Hypothesis Testing and Prediction; - One and Two Tailed Tests ;
• Hypothesis Testing with Means of Samples; -  Distribution of Means.; -  Confidence Intervals ;
• Significance  ; -  Error Type 1 + Type 2; -  Effect Size ; -  Power: A priori and Retrospective ;
• T-tests; -  Standard Deviation and Variance ; -  One Sample t; -  Dependent and Paired t ;
• Independent t tests; - Hypothesis Testing,  Distribution of Mean Differences, Calculations; - Issues with t ;
• ANOVA acronym ; - Analysis of Variance ; - Comparison of more than 1 population ;
• Correlation and Regression  ; - Scatterpots and R values ; - Calculating Pearson's r ;
• Chi Square; -  Goodness of Fit ; -  Statistical Report of Chi Square  ;
• Randomization ; -  Comparison Distribution; -  Testing Randomization;
Categories