Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Analyzing Bivariate Data
- Introduction to Bivariate Data
- Understanding Pearson Correlation Values
- Correlation Prediction Simulation
- Properties of Pearson's r
- Calculating Pearson's r
- Range Restriction Demonstration
- Variance Sum Law II
- Exercises
Probability
- Introduction
- Fundamental Concepts
- Conditional Probability Demo
- Gambler's Fallacy Simulation
- Birthday Paradox Demonstration
- Binomial Distribution
- Binomial Process Demonstration
- Base Rates
- Bayes' Theorem Demonstration
- Monty Hall Problem Demonstration
- Exercises
Normal Distributions
- Introduction
- Historical Context
- Areas Under Normal Curves
- Varieties of Normal Distribution Demo
- Standard Normal Distribution
- Normal Approximation to the Binomial
- Normal Approximation Demo
- Exercises
Sampling Distributions
- Introduction
- Fundamental Demonstration
- Sample Size Demonstration
- Central Limit Theorem Demo
- Sampling Distribution of the Mean
- Sampling Distribution of the Difference Between Means
- Sampling Distribution of Pearson's r
- Sampling Distribution of a Proportion
- Exercises
Estimation
- Introduction
- Degrees of Freedom
- Characteristics of Estimators
- Bias and Variability Simulation
- Confidence Intervals
- Exercises
Logic of Hypothesis Testing
- Introduction
- Significance Testing
- Type I and Type II Errors
- One- and Two-Tailed Tests
- Interpreting Significant Results
- Interpreting Non-Significant Results
- Steps in Hypothesis Testing
- Significance Testing and Confidence Intervals
- Common Misconceptions
- Exercises
Testing Means
- Single Mean
- t Distribution Demo
- Difference Between Two Means (Independent Groups)
- Robustness Simulation
- All Pairwise Comparisons Among Means
- Specific Comparisons
- Difference Between Two Means (Correlated Pairs)
- Correlated t Simulation
- Specific Comparisons (Correlated Observations)
- Pairwise Comparisons (Correlated Observations)
- Exercises
Power
- Introduction
- Factors Affecting Power
- Importance of Power
- Exercises
Prediction
- Introduction to Simple Linear Regression
- Linear Fit Demo
- Partitioning Sums of Squares
- Standard Error of the Estimate
- Prediction Line Demo
- Inferential Statistics for b and r
- Exercises
ANOVA
- Introduction
- ANOVA Designs
- One-Factor ANOVA (Between-Subjects)
- One-Way Demo
- Multi-Factor ANOVA (Between-Subjects)
- Unequal Sample Sizes
- Tests Supplementing ANOVA
- Within-Subjects ANOVA
- Power of Within-Subjects Designs Demo
- Exercises
Chi Square
- Chi Square Distribution
- One-Way Tables
- Testing Distributions Demo
- Contingency Tables
- 2 x 2 Table Simulation
- Exercises
Requirements
Participants must have completed the Statistics Level 1 course or possess equivalent professional experience.
28 Hours
Testimonials (1)
I genuinely was benefit from the flexibility of the trainer.
