Chi Square, Fishers Exact,T test, ANOVA, Logistic Regression, Linear Regression Statistics, Biostats

In this video, I talk about the importance and relevance of statistical testing in the start and why we use it. Then I go to explain what is independent and dependent variable. I make a chart for the tests that are used for the different types of variables in statistical testing. Both are put on the different sides of the table. I start with explaining simple tests like Chi-square, fishers exact test. I also explain logistic regression and how it has a qualitative outcome with multiple variables as input. I, then move on to explain how T-test and ANOVA, & Linear regression have a quantitative outcome. I explain the difference between a paired and unpaired T-test. I also explain the applications of ANOVA vs T test. I also explain linear regression and its differences with logistic regression. I summarize the whole video towards the end for the students to put the whole concept together.

This video is a part of our series on Epidemiology and Biostats:
   • Biostats and Epidemiology Made Easy  

Chapters:
0:00 Intro
0:17 Why do statistical testing?
1:11 Independant & dependent variable
2:42 Qualitative variable
3:25 Quantitative variable
5:13 Chi Square test
7:49 Fisher's Exact test
9:20 Logistic Regression
15:12 T-Test
17:22 Paired vs Unpaired T
19:38 ANOVA
21:20 Linear regression
24:18 Linear R vs Logistic R
25:14 Summary

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