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:
Free Statistics Cheatsheet - https://gradcoach.com/statistics-cheatsheet/
Free Methodology Webinar - https://gradcoach.com/webinar-research-methodology/
Descriptive Statistics 101 - https://gradcoach.com/descriptive-statistics/
Sampling 101 Explainer Video - https://gradcoach.com/sampling-methods/
Private Coaching - https://gradcoach.com/dissertation-coaching/