LLO 10.2  Calculated parametric Pearson correlation test Part 1 of 3
Channel: Thorseng Liew
Date: 05/04/2023

Biometry and Experimental Design

General introduction to correlation analysis and the sum of squares of the cross product (SSCP)

Description:
In this video, we will explore the basic concepts of correlation and covariance in statistics. We will begin by discussing research questions, sample design/experimental design, data, and ways to organise and summarise data for correlation analysis. Next, we will discuss the mathematical formulas used to calculate correlation and covariance. However, this video is about the Sums of Squares of Cross Product (SSCP), a calculation used to determine how two variables vary together. Using examples and visual aids, we show you how to interpret the strength and direction of correlation and how SSCP (i.e. the antecedent of covariance) can be used to measure the linear relationship between two variables.

Lesson Learning Outcome: LLO 10.2  Calculated parametric Pearson correlation test

0:00 - Introduction
0:20 - Correlation research questions
1:08 - Sample Design/Experimental Design for Correlation Research Questions
2:36 - Data and organising the data
3:02 - Summarising data
4:51 - Why do we need to conduct a correlational test?
5:24 - Procedures for conducting correlation tests
6:11 - Basic concept of correlation testing (covariances)
11:03 - How to calculate covariances - Sums of Squares of the Cross Product (SSCP)
17:31 - How to calculate covariances - Determining the positive and negative variance of the SSCP