jbstatistics
Jeremy Balka's statistics channel, containing some introductory statistics videos.
(I am an associate professor in the Department of Mathematics and Statistics at the University of Guelph. I have a PhD in statistics, and have taught introductory statistics courses on many occasions.)
I try to be concise, and use real data in the vast majority of cases. Some of these videos move at a quick pace, especially my earlier ones, and they are not designed to be lecture replacements. They may serve to clarify some concepts after lecture. If you want to get ahead, watch the relevant videos before lecture to get an introduction to the topic.
The videos are pitched at the level of an applied introductory statistics course to non-statistics majors.
I'll be updating this channel with new videos until I've filled out a full introductory statistics course (and I may possibly expand after that).
A complete list of videos, organized by topic, can be found at www.jbstatistics.com.
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