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Is that all? Where can I find the full explanation of the chapter ?

Do I have to proceed solving mean and sd if my data isn't normally distributed?

Shouldn't the coefficient of determination be an uppercase R^2 instead of r^2, which would be the coefficient of correlation aka Pearson correlation (19:35 "r^2 Interpretation")? And shouldn't the mean line on the graph on slide ("Bill vs Tip Amount", 21:30) be labeled ybar and not yhat? All that aside I am a HUGE fan of your work, it is majorly saving my bacon.

Great video 🎉

can someone pls explain why there is a+1 in every coloumn and in which conditions will it be used?

This is golden.I would be starting my B.statistics this year and wanted to have solid fundamentals. Even though am afraid of chat gpt(ai) it's thanks to it that I got introduced to such a great teacher🤍

Ravishing

Your video/explanations made it really to understand the above topic. Thank you!

Great explanation of Statistics 101. You made it really easy to comprehend.

You explain so well! Thank you for these precious videos!

YO ARE SUPER KOX

Excellent high-level overview of histograms, very straight forward and simple.

Brandon you're the absolute best! Thank you so much.

Great introduction to Histograms.

Perfectly explained. Thank you so much!

I don't get it in the histogram at 19:22. why is there 10 and 11 while no these numbers in the graph at 17:46?

I got so stuck in this part as well as all the formulas and this has helped me so far very well. I am really struggling with the formulas and algebra of it and I am behind on assignments because of that. This plainly explained linear regression and helped me a ton. Thank you!

Thank you

hi, i'm confused how you got 3.699

this is the best video that I've ever seen for time series thanks alot

THANK YOU

I'm so confused as to where these standard deviation numbers are coming from.

Thank you for the sweet pep talk and your hard work!!

Great videos! One question though. If you don't have minitab or SPSS (which are expensive) how can you use Excel to calculate the comparative statistics? Do you have a video for that?

@23:30 ... you have a typo in your slide. you say verbally we can't reject the null, but you slide says we would reject the null

These visuals are extremely helpful and give the student a completely different take on ANOVA than many other teaching resources. Very helpful--very grateful

I miss the positive reinforcement at the start. It was nice to hear 😅

Wouldn't it be right to use Z- table to find the probability having found the Z_Value?

I am so thankful I ran into this video. You explained a complex subject so easily. Thank you so much!

Brandon, I am grateful for this video. It is very clear and understandable. I want to ask your favour, the graph in the closing part looks very good and can animate these iterations. Can you make a video to show how the graph was plotted? Thanks.

Just watched every Statistics 101 video in your series until this one. THANK YOU SOOO MUCH FOR MAKiNG THOSE

I found very difficult to understand statistical use in research. your video makes it easy to understand the basic concepts. Pease Keep Uploading videos

Hi, from what I've read in other resources the SS_residuals is what you named SSE here. This could lead to some confusion. Besides, great video!

I love how EVERYONE appreciated that intro, it really made my day. Thanks dude!

not only have I learned more about forward selection, I feel like I have taken a masterclass on how to present information in a clear and concise manner. Thank you very much Mr. Foltz.

The legend is back! Thank you Sir

What an amazing explanation! Love it!!

🎯 Key Takeaways for quick navigation: 01:00 *🎲 Introduction and overview of the video content* - Video aimed at individuals new to Stats or finite mathematics - Concepts in the video applicable to both statistics and finite mathematics - Focus on extending the discussion on discrete random variables to variance and standard deviation 02:27 *🔍 Understanding the variability in random variables through variance and standard deviation* - Variance and standard deviation measure the spread of data from the mean - Importance of variance in making statistical assumptions about data - Use of variance in comparing data sets and drawing conclusions 04:07 *📊 Equation and calculation of variance explained* - Breakdown of variance calculation formula - Importance of understanding each step in the variance calculation process - Application of the variance formula to discrete random variables 08:22 *🎲 Example with a die roll and calculation of mean, variance, and standard deviation* - Mean of a die roll explained - Calculation process for variance in a die roll scenario - Relationship between variance, standard deviation, and the mean in the context of a die roll 11:36 *📈 Example with class satisfaction surveys and calculation of variance and standard deviation* - Calculation of variance in the context of class satisfaction surveys - Interpretation of variance and standard deviation in relation to expected value - Visual representation of probability distribution skewed towards higher satisfaction levels Made with HARPA AI

Hello Sir, I'm a student ; I wanted to know if there any scope/way to do project-type work under your assistance??

I will finish the entire course. Good material.

beautiful video..... had been scratching my head since a week finally found something good

Do I understand this correctly that the number of records would just cancel out and we are basically just summing the error of our forecast divided by the error of the naive forecast?

I really wish I had discovered your videos along time ago. It would have saved me a lot of confusion and frustration. Thank you!!!

questio around 13:06 how to get the mean of x??? how did you get 74?

can anyone tell why we have used population standard deviation in sample standard deviation formula?

One of the best videos I've seen on the subject Thank you!

This is such an amazing resource. Thank you for explaining things so clearly and teaching excellently

Beautifully explained. Made it so simple to understand. Grateful!

Thank Brandon

thank you