Introduction to DA Methodology and bivariate data analysis
In this module you will learn the fundamental concepts of statistical modelling, starting with exploring the data by using appropriate plots and computation of descriptive statistics, and moving on to inferential statistics of parameter estimation and hypothesis testing. You will learn how to match up data types with an appropriate statistical model with the focus on the ‘Measured vs Attribute’ and ‘Measured vs Measured’ types of a bivariate data analysis problem. With the knowledge from this lesson you will be able to conduct basic ‘MvA’ and ‘MvM’ types of statistical analysis, interpret and report its outcomes in an appropriate manner.
What you will learn:
The concept of statistical distribution
Exploring different data types
Common data-analysis methodology; hypothesis testing
To investigate relationships between M and A variables
Two tail t-test
One-way ANOVA
To investigate relationships between two M variables