You sir, are no normal distribution

1000 normal QQ plots in 30 minutes (n = 25, sampling from N(10,5^2))

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

Basic Probability: The Multiplication Rule

Linear Transformations (in a Descriptive Statistics Setting)

An Introduction to Boxplots

On average, what proportion of sample means would a randomly selected 95% CI for mu capture?

Deriving the mean and variance of the least squares slope estimator in simple linear regression

The Law of Total Probability

P(A) = P(A and B) + P(A and Bc)

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

Proof that if events A and B are independent, so are Ac and B (and A and Bc)

Proof that if two events are independent, so are their complements.

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

Conditional Probability Example Problems

Basics of Probability: Unions, Intersections, and Complements

Don't watch this! (A t test example where nearly everything I say is wrong)

De Morgan's Laws (in a probability context)

An Introduction to Conditional Probability

Are mutually exclusive events independent?

What Does Independence Look Like on a Venn Diagram?

The Expected Value and Variance of Discrete Random Variables

An Introduction to Discrete Random Variables and Discrete Probability Distributions

Inference for the Ratio of Variances: How Robust are These Procedures?

Inference for a Variance: How Robust are These Procedures?

The Sampling Distribution of the Ratio of Sample Variances

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

The Sampling Distribution of the Sample Variance

Deriving a Confidence Interval for the Ratio of Two Variances

An Introduction to Inference for the Ratio of Two Variances

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

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

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

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

An Introduction to Inference for Two Proportions

Confidence Intervals for a Proportion: Determining the Minimum Sample Size

The Sampling Distribution of the Sample Proportion

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

An Introduction to Inference for a Proportion

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

An Introduction to the Geometric Distribution

The Sample Variance: Why Divide by n-1?

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

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

Measures of Central Tendency

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

An Introduction to the t Distribution (Includes some mathematical details)

An Introduction to the Chi-Square Distribution

Deriving the Mean and Variance of the Sample Mean

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

Overview of Some Discrete Probability Distributions (Binomial,Geometric,Hypergeometric,Poisson,NegB)

An Introduction to the Poisson Distribution

An Introduction to the Binomial Distribution

The Sampling Distribution of the Sample Mean

An Introduction to the Hypergeometric Distribution

Standardizing Normally Distributed Random Variables

The Poisson Distribution: Mathematically Deriving the Mean and Variance

The Binomial Distribution: Mathematically Deriving the Mean and Variance

The Bernoulli Distribution: Deriving the Mean and Variance

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