Inferential Statistics FULL Tutorial: T-Test, ANOVA, Chi-Square, Correlation & Regression Analysis

Learn about inferential statistics and how they differ from descriptive statistics in this plain-language tutorial, packed with practical examples.

We examine the most common inferential tests, such as t-tests, ANOVA, chi-square, correlation, and regression, giving clear practical examples of their use. We also talk about the importance of understanding the distinction between correlation and causation, and how to choose the right statistical test for your data.

00:00 Introduction to Inferential Statistics
01:12 Understanding Inferential Statistics
03:00 Comparing Inferential and Descriptive Statistics
04:43 Exploring Common Inferential Tests
05:02 What is a t-test
06:20 What is ANOVA
07:37 What is the chi-square test
08:54 What is correlation analysis
10:44 What is regression analysis
12:39 Free Resources

ESSENTIAL RESOURCES:

[sunsetravel]

Thanks so much! I'm just starting my PhD this year and I'm going to use a quantitative approach. I've been learning statistics since my undergrad days, but I never really got the hang of it. This video has made inferential statistics so much clearer for me!

[knowledgeeconomy]

I have been watching the video lectures. These are amazing. Moreover, video lectures related to econometric models may please be uploaded.

[guylnmr]

Thats well surmarised . Been helped alot

[juriagouws]

Very helpful video, Thanks. Did you remove the cheat sheet? I can't seem to find it...

[pouyamahmoudi]

Please make a video about non-parametric ones as well. Thanks.

[palashjyotiborah]

Excellent ! Wonderful ! Amazing ! What more can I say ! Much needed. I can feel the stats after I subd to this channel !

[justinmitra]

I wanted to understand below - this is very important for me please help!

1. In a month, 4200 guests stayed in a hotel, only 200 received a feedback survey and 20 guests said they experienced Slow Check-In on arrival. If all 4200 guests would have received feedback survey, how many would have shared the similar feedback of Slow Check-in experience ?

My answer is,
200 =20 then
4200 = X, which is
X = 4200 x 20 divide by 200
X = 420 meaning if 4200 guests would have received the survey 420 would have shared an experience of slow check-in on arrival.

If the above answer is Right then What is this method termed/called in Quantitative Analysis ? and How can I prove this is correct prediction of the population using Inferential Statistics or Hypothesis test or any recommended options

[KawtarElAallaoui]

Great video, thank you for the explanation.
What if you need to assess the relationship between a numerical variable and a categorical variable. What statistical method should be followed?

[xncjohg]

I have been using divominer for past few years for all my quantitative content analysis. I was a beginner and had a hard time learning the mechanisms and theory. But divominer came across as a very simple to use tool. It covers end-to-end content analysis with advanced statistical analysis features.

[martinastep]

Thanks! Very good video. Do you maybe have some content on test assumptions?

[vkfqjnj]

i think there is a typo in the definition of statistical significance kindly refer it and thank you for making this awesome video it helped a lot,

[fsyqfru]

Hi, really helpful video. I can't find the link to the cheat sheet mentioned, is it possible you could repost it? Thank you!

[parisawesal]

Very useful video well done:)
could you plz advice a book for study more about research methods!

[Griffindor]

Great video👍.
But shouldn't you not include regression analytics there, as it is not inferential but more predictive?

[financialhappiness]

Really helpful video thanks for the making learning through ease

[SaddamRIAR]

Cheat sheet copy doesn't work, I tried to download it twice.

[TheAuditor]

Very nice. Good job. plz keep the hand gestures to a min. The rest is perfect.

[patientson]

Stop doing your hands that way. You are a grown up now. You have the full right and rite to Grow, Order, and Discipline yourself. What you are doing could lead to disfigurement and abnormal bone transformation. Dont you understand that the skeletal muscles take care of cardiac and smooth muscles? Be wise, little brother of Data Science and Machine Learning.

[lungelihlesinokuhle]

Thank you, but you talk with your hands which can be a little distractive.