Unlike univariate analysis where you’re only dealing with one variable and are mostly using the data to describe and summarise, bivariate analysis involves the analysis of two variables, for the purpose of identifying a relationship between them.
When conducting Tests for Difference in particular, we’re looking to examine the difference between two or more groups. Tests for Difference produce inferential statistics which allow for the data to be generalised to wider populations than the initial sample.
We’re going to investigate the meaning of inferential statistics and explore how this differs from descriptive statistics present during univariate analysis.
Below, Cheyenne explains what inferential statistics are, and provides some real-life examples of descriptive statistics.
Apply Your Thinking:
Apply your knowledge from the video you have just watched
Can you think of some examples of research ideas which utilise tests for difference that you’d be interested in undertaking?
- Example – Gender and Rates of interest watching the Euros 2020