jbstatistics

What is a p-value? (Updated and extended version)

De Morgans Laws (in a probability context)

Inference for Two Means: Introduction

Finding Probabilities and Percentiles for a Continuous Probability Distribution

An Introduction to Boxplots

The Poisson Distribution: Introduction (fast version)

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

Inference for One Variance: An Example of a Confidence Interval and a Hypothesis Test

Deriving the Mean and Variance of the Sample Mean

Z Tests for One Mean: Introduction

Basic Probability: The Multiplication Rule

The Sampling Distribution of the Sample Proportion

Measures of Variability (Variance, Standard Deviation, Range, Mean Absolute Deviation)

Basics of Probability: Unions, Intersections, and Complements

An Introduction to Discrete Random Variables and Discrete Probability Distributions

Using the t Table to Find the P-value in One-Sample t Tests

The Expected Value and Variance of Discrete Random Variables

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

Simple Linear Regression: The Least Squares Regression Line (Old, fast version)

Simple Linear Regression: The Least Squares Regression Line

The Sampling Distribution of the Sample Mean (fast version)

Introduction to Discrete Random Variables and Discrete Probability Distributions

Independent Events (Basics of Probability: Independence of Two Events)

Confidence Intervals for One Mean: Sigma Not Known (t Method)

Deriving the least squares estimators of the slope and intercept (simple linear regression)

Z-Scores (As a Descriptive Measure of Relative Standing)

An Example of a Paired-Difference t Test and Confidence Interval

An Introduction to Inference for One Variance (Assuming a Normally Distributed Population)

Standardizing Normally Distributed Random Variables

The Correlation Coefficient and Coefficient of Determination (Old, fast version)

Finding Percentiles and Areas for the F Distribution Using R

Intro to Confidence Intervals for One Mean (Sigma Known)

What is a p-value?

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

Deriving a Confidence Interval for a Variance (Assuming a Normally Distributed Population)

Statistical Significance versus Practical Significance

Inference for Two Proportions: An Example of a Confidence Interval and a Hypothesis Test

What I envision a virtual work meeting at D2L (Brightspace) to be like (jk, obv)

The Relationship Between the Binomial and Poisson Distributions

An Introduction to the Poisson Distribution

Expected Value and Variance of Discrete Random Variables

Simple Linear Regression: Assumptions

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

Pooled-Variance t Procedures: Investigating the Normality Assumption

Pooled-Variance t Tests and Confidence Intervals: An Example

Normal Quantile-Quantile Plots

Deriving the Mean and Variance of a Continuous Probability Distribution

The Sampling Distribution of the Sample Mean

The Relationship Between Confidence Intervals and Hypothesis Tests

Finding the Appropriate z Value for the Confidence Interval Formula (Using a Table)