Introduction to the one sample t-test | StatsExamples
17
One sample t-test | step-by-step examples
18
Type I and type II errors | StatsExamples
19
False positives and negatives | StatsExamples
20
Introduction to the two sample t-test | StatsExamples
21
Unpaired two sample t-test | step-by-step examples
22
Paired two sample t-test | step-by-step examples
23
Introduction to the variance ratio F test | StatsExamples
24
Variance ratio F test | step-by-step examples
25
Introduction to the chi-squared test | StatsExamples
26
Chi-squared test | step-by-step examples (dihybrid cross)
27
Introduction to the one factor ANOVA | StatsExamples
28
One factor ANOVA | step-by-step examples
29
Introduction to the Fmax test for equality of variances | StatsExamples
30
Fmax test for equality of variances | step-by-step examples
31
Introduction to Power Analysis | StatsExamples
32
Correlation and regression | Part 1, introduction to concepts
33
Correlation and regression | Part 2, details of the procedure
34
Correlation and regression | step-by-step examples
35
How to do a two sample t-test with EXCEL
36
Relative risk, odds ratio, and risk difference | Introduction
37
Two factor ANOVA | step-by-step examples
Description:
Dive into a comprehensive 11-hour tutorial series covering fundamental statistical concepts and techniques. Learn about summation notation, summary statistics, probability theory, binomial and Poisson distributions, normal distribution, confidence intervals, hypothesis testing, t-tests, ANOVA, chi-squared tests, power analysis, correlation, and regression. Work through step-by-step examples for each topic, gaining practical skills in applying statistical methods. Explore advanced concepts like relative risk, odds ratio, and two-factor ANOVA. Master the use of Excel for statistical analysis, focusing on performing two-sample t-tests. Develop a solid foundation in statistics, from basic principles to more complex analytical techniques, through this in-depth, example-driven learning experience.