jb statistics

0:11:32

Calculating Power and the Probability of a Type II Error (A One-Tailed Example)

0:05:26

A One-Way ANOVA Example

0:10:22

The Law of Total Probability

0:08:21

The Paired-Difference t Procedure

0:04:04

An Introduction to the F Distribution

0:10:28

Standardizing Normally Distributed Random Variables

0:08:32

Measures of Central Tendency

0:07:33

Introduction to the Negative Binomial Distribution

0:06:58

Proof that the Sample Variance is an Unbiased Estimator of the Population Variance

0:06:16

Finding Areas Using the Standard Normal Table (for tables that give the area to left of z)

0:14:40

Poisson or Not? (When does a random variable have a Poisson distribution?)

0:05:44

What is a p-value?

0:14:51

Discrete Probability Distributions: Example Problems (Binomial, Poisson, Hypergeometric, Geometric)

0:06:57

An Introduction to the Continuous Uniform Distribution

0:12:09

Normal Quantile-Quantile Plots

0:15:35

An Introduction to the Hypergeometric Distribution

0:05:24

The Relationship Between the Binomial and Poisson Distributions

0:13:46

t Tests for One Mean: Introduction

0:11:46

Introduction to Discrete Random Variables and Discrete Probability Distributions

0:08:34

An Introduction to Paired-Difference Procedures

0:10:14

Introduction to the Central Limit Theorem (fast version)

0:14:20

Chi-square tests: Goodness of Fit for the Binomial Distribution

0:11:59

Finding Probabilities and Percentiles for a Continuous Probability Distribution

0:07:22

Deriving the Mean and Variance of a Continuous Probability Distribution