This video introduces concepts of statistical inference.
Examples are given on how manual computations are done, as well as on how to perform the statistical tests demonstrated using R or RStudio.
Data files and handout (in pdf format) may be downloaded at
https://drive.google.com/drive/folders/1rh5jBaWfldoA62eVyluxghZQ-jrUFdkJ?usp=sharing
Video credits to:
1. Introduction to the t Distribution (non-technical)
https://youtu.be/Uv6nGIgZMVw
Video Chapters:
0:00 Intro
0:17 What is statistical inference?
1:22 Null & alternative hypothesis
2:02 One-tailed & two-tailed tests
7:37 Hypothesis testing... explained
10:04 Type I and type II errors
10:37 Level of significance (α)
11:09 Test statistic
11:38 p-value
13:11 The z-test and t-test (one-sample t-test) for single mean
14:02 Example 1 [using z-test (two-tailed)]
27:07 Example 2 [using z-test (one-tailed)]
32:40 Example 3 [using t-test (one-tailed)]
41:10 Example 4 [using t-test (two-tailed)]
47:57 The standard normal (z) and the t-distribution
49:39 Using R
1:04:59 Recap and outro