jbstatistics

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))

29:26

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

11 ай бұрын

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

3:58

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

2 жыл бұрын

Basic Probability: The Multiplication Rule

11:27

Basic Probability: The Multiplication Rule

3 жыл бұрын

Linear Transformations (in a Descriptive Statistics Setting)

11:23

Linear Transformations (in a Descriptive Statistics Setting)

3 жыл бұрын

An Introduction to Boxplots

12:29

An Introduction to Boxplots

3 жыл бұрын

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

11:18

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

5 жыл бұрын

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

10:54

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

5 жыл бұрын

The Law of Total Probability

10:22

The Law of Total Probability

5 жыл бұрын

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

6:04

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

5 жыл бұрын

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

12:13

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

5 жыл бұрын

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

4:23

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

5 жыл бұрын

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

4:45

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

5 жыл бұрын

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

21:25

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

6 жыл бұрын

Conditional Probability Example Problems

16:39

Conditional Probability Example Problems

6 жыл бұрын

Basics of Probability: Unions, Intersections, and Complements

15:16

Basics of Probability: Unions, Intersections, and Complements

6 жыл бұрын

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

5:46

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

7 жыл бұрын

De Morgan's Laws (in a probability context)

7:40

De Morgan's Laws (in a probability context)

7 жыл бұрын

An Introduction to Conditional Probability

12:01

An Introduction to Conditional Probability

7 жыл бұрын

Are mutually exclusive events independent?

5:05

Are mutually exclusive events independent?

7 жыл бұрын

What Does Independence Look Like on a Venn Diagram?

10:45

What Does Independence Look Like on a Venn Diagram?

10 жыл бұрын

The Expected Value and Variance of Discrete Random Variables

11:20

The Expected Value and Variance of Discrete Random Variables

10 жыл бұрын

An Introduction to Discrete Random Variables and Discrete Probability Distributions

14:11

An Introduction to Discrete Random Variables and Discrete Probability Distributions

10 жыл бұрын

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

9:35

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

10 жыл бұрын

Inference for a Variance: How Robust are These Procedures?

10:43

Inference for a Variance: How Robust are These Procedures?

10 жыл бұрын

The Sampling Distribution of the Ratio of Sample Variances

10:18

The Sampling Distribution of the Ratio of Sample Variances

10 жыл бұрын

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

10:00

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

10 жыл бұрын

The Sampling Distribution of the Sample Variance

12:00

The Sampling Distribution of the Sample Variance

10 жыл бұрын

Deriving a Confidence Interval for the Ratio of Two Variances

4:29

Deriving a Confidence Interval for the Ratio of Two Variances

10 жыл бұрын

An Introduction to Inference for the Ratio of Two Variances

16:26

An Introduction to Inference for the Ratio of Two Variances

10 жыл бұрын

Пікірлер

@acidik9947 Күн бұрын

giving this video 5 BIG BOOMS

@sabrinahanifff

@sabrinahanifff 3 күн бұрын

Hey! I am currently in your DE Stats course and I just wanted to say that ironically your videos on probability were the reasons I got through my stats course in high school. You are an amazing prof and your teaching style is excellent! Please wish me the best on test 1 lol

@jbstatistics 3 күн бұрын

Thanks for the kind words! I hope test 1 goes very well for you!

@henrytanaka7 3 күн бұрын

My initial frustration turned into a 'come to jesus' moment. By the end of the video the light clicked on. Thank you so much!

@alexandragrace-s8v

@alexandragrace-s8v 4 күн бұрын

How do you find 0.0385 at 10:07

@Mrfrog2024 5 күн бұрын

Got by glms exam tomorrow, thank you

@ΤασουλακοςΤασουλινος

@ΤασουλακοςΤασουλινος 6 күн бұрын

Great video!! the playlist of hypothesis testing helped me understand everything thank you!!

@tchgirlie 6 күн бұрын

Thanks for this crystal clear representation of the Bernoulli Distribution. I thought I was about to flunk out.

@RodyaCCQ-k9u 7 күн бұрын

Great video.

@Wiame-dd2hp 7 күн бұрын

why didnt we use combinaison to find the probabilities of each ball ?

@shivamsardana3072

@shivamsardana3072 8 күн бұрын

I was so afraid to ask my statistics teacher why we change to t statistic when we sample size is bigger than 30, I thought either it'll be too stupid to ask, or it'll be too difficult to understand. Thanks'

@sanyachoudhary2508

@sanyachoudhary2508 9 күн бұрын

Nice explanation ❤

@samuelarturotorresorozco1471

@samuelarturotorresorozco1471 9 күн бұрын

Incredible, wow! Thank you so much

@jmorgs1166 9 күн бұрын

After years of calculating linear regressions with excel and R I learn the underlying math…

@jbstatistics 9 күн бұрын

It's never too late to learn what's going on under the hood. And it's helpful to know (better insight into why violations of the assumptions are a problem, etc.).

@PrishaJagetia 10 күн бұрын

Your videos are literally the best!!!!

@sadia9222 11 күн бұрын

Thank you sir❤

@TheBoltMaster456

@TheBoltMaster456 11 күн бұрын

You explained this in 15 minutes better than my professor could in 50 minutes. Amazing. You earned a subscriber.

@fancypikachu464

@fancypikachu464 11 күн бұрын

Thank you!

@woody7480 12 күн бұрын

Thank you very much sir ❤❤❤

@abirhossain2667

@abirhossain2667 13 күн бұрын

what the fuck

@co.f.3360 14 күн бұрын

what happens if P(x) is greater than? and P(x) is equal to or greater than ?

@Jiaweiiiiiiiiii

@Jiaweiiiiiiiiii 14 күн бұрын

THANK YOU SO MUCH

@Michael_gitau 15 күн бұрын

In 2025 and its still helpful🥳🥳 i wonder why some disliked it Wonderful explanation 🤘

@akhonybas9753 15 күн бұрын

What if it is in the 90th percentile 😢

@KNO476 16 күн бұрын

Hello, thank you for this material. Could you please elaborate on why we do not plot residuals vs observed values. The notion that there are "related" seems a bit vague to me. After all residuals and fitted values are "related" as well.. i would very much appreciate some clarification on what you meant. As far as my understanding goes we could use the observed, predicted or X values in a plot to detect heteroscedasticity. My logic goes as follow : if we consider the model you presented Y=β+𝛼X+ε and a simple case of heteroscedasticity where ε~N(0,σ1^2) for the lower half of X values and ε~N(0,σ2^2) for the upper half of X values. The lower half and upper half or X values corresponds respectively to the lower half and upper half of the Y values. Thus plotting residuals vs X or vs Y will results in both cases in the lower half of the plot displaying variance σ1 and the upper half displaying σ2. So we would succeed identifying heteroscedasticity in both cases.

@jbstatistics 16 күн бұрын

The residuals are positively correlated with the Y values, but not correlated with the Y hat values. So a plot of the residuals against Y will show an increasing trend. If the model assumptions are correct, then a plot of the residuals against the fitted will tend to show a random scattering. "The lower half and upper half or X values corresponds respectively to the lower half and upper half of the Y values." We can't say this, since the Y values are random variables. It might correspond *roughly* to that, depending on the specifics and randomness, but the Y values are random variables and could take on any value. If we happen to get a Y value that's 4 SD above its theoretical mean, say, then that value will be have a large positive residual (with high probability, at least). You might see certain hints of heteroscedasticity in a plot of residuals vs Y, but it would be hard to tell precisely what the plot means. A plot of the residuals vs the fitted values would give a much clearer picture.

@KNO476 16 күн бұрын

@@jbstatistics Thank you so much for taking the time to answer. I will meditate on your feedback !

@SAMYUKTHASBTech_AIDA

@SAMYUKTHASBTech_AIDA 17 күн бұрын

THANK YOU SO MUCH

@me-bw9cz 17 күн бұрын

11 yrs ago and It's still helping lots of students all around the globe

@me-bw9cz 17 күн бұрын

Man you are great

@murloc2129 18 күн бұрын

Thanks a lot! Most of the videos just provide the formulas without any explanation!

@louism.4980 18 күн бұрын

This is great, thank you! :)

@husnainhere5683

@husnainhere5683 20 күн бұрын

thank you soo much i was soooo streessssed about this question and finally i found your video some youtubers make videos for views but this one is 💌 thank you sooo much again!!!!!!!

@X-Dreams-XX 20 күн бұрын

12 years old concept still hits hard

@hodelhedot 22 күн бұрын

This guy is saving my ass right now

@marisa4942 23 күн бұрын

Thank you!

@Irina-k2p3m 23 күн бұрын

thank you teacher I love you

@sefaokusluk4867

@sefaokusluk4867 24 күн бұрын

Sir, How can I find the F table with different alphas presented in your video? Btw thanks a lot..

@msfasha 25 күн бұрын

Aren't the tails of the normal distribution at minute 10 light, not heavy?

@NahomLove-y3m 27 күн бұрын

THANKS A LOT.. FROM ETHIOPIA

@jbstatistics 27 күн бұрын

You are very welcome!

@alexanderk.mungendje3679

@alexanderk.mungendje3679 27 күн бұрын

Too fast...😢

@pixsarys 28 күн бұрын

cool explanation 💟

@dlndn.foodie Ай бұрын

Did i just learn two topics in one video? Thank you very much 🤩

@Wiame-dd2hp Ай бұрын

omg tysm

@senpairalemneh9648

@senpairalemneh9648 Ай бұрын

thank you!!!

@jbstatistics Ай бұрын

You are very welcome!

@footase Ай бұрын

Life saver

@darrion98 Ай бұрын

Great video

@DComplexAnalyzer

@DComplexAnalyzer Ай бұрын

The best🎉

@hodelhedot Ай бұрын

You know you're cooked when you barely understand the subject from jb

@vivnightcoremsp

@vivnightcoremsp Ай бұрын

the way i have been struggling in my stats class so bad and these videos make it sooo clear and easy. thank u sm