jbstatistics Courses

Basics of Probability

1 rating

An introduction to probability through conditional probability, independence, event operations, Venn diagrams, and De Morgan’s laws.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Sampling Distributions

An introduction to sampling distributions, focusing on the sampling distribution of the sample mean and the Central Limit Theorem.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Discrete Probability Distributions

An introduction to discrete probability distributions, expectation, variance, and examples spanning Bernoulli, binomial, Poisson, and related models.

• YouTube
• 2 hours 30 minutes
• Self-Paced
• Free Video

Confidence Intervals for a Population Mean

Learn to construct and interpret confidence intervals for one population mean using z and t methods, including margin of error, sample size, and assumptions.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Inference for Two Population Means

Learn pooled, Welch, and paired-difference t tests and confidence intervals for comparing two population means.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Inference for Proportions

Use normal approximations to construct confidence intervals and test hypotheses for one and two population proportions.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

One-Way ANOVA - Analysis of Variance

An introduction to one-way ANOVA, covering formulas, an example, LSD confidence intervals, and p-value calculation.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Simple Linear Regression

Learn to fit, interpret, assess, and make inferences from simple linear regression models using least squares, residual plots, transformations, and influential-point analysis.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Inference for Variances

Learn confidence intervals and hypothesis tests for one variance and the ratio of two variances under normality.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Continuous Probability Distributions

Introduces continuous probability distributions through integration-based calculations of probabilities, percentiles, means, and variances.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Hypothesis Testing

An introduction to hypothesis testing through rejection regions, p-values, error types, power, and one-mean Z and t tests.

• YouTube
• 2 hours 30 minutes
• Self-Paced
• Free Video