Introduction to Inferential Statistics

Inferential statistics

In inferential statistics, we’re looking for conclusions beyond the immediate data, such as inferring how version A of a game we’re working on, can impact players as compared to version B; in other words, performing simple A/B testing and comparing the effect of a simple game design change on engagement, retention, or performance. In such cases, we’re not just describing what the data is like, but we’re using statistics to make inferences about which version is better using the data.

Many popular inferential statistics methods can be used here, for example, when comparing groups:

• T-tests

• Analysis of Variance (ANOVA)

• Regression analysis