Inferential analysis

Inferential analysis involves drawing conclusions or making predictions based on data that has been collected and analyzed. This type of analysis is used to make inferences about a larger population based on a sample, or to test hypotheses and determine if there is a statistically significant relationship between variables.

Inferential analysis can be conducted using various statistical methods, such as hypothesis testing, confidence intervals, and regression analysis. These methods allow researchers to make informed decisions and draw meaningful conclusions from their data.

Overall, inferential analysis plays a critical role in the research process by helping researchers make generalizations and draw conclusions that can be applied beyond the specific data set that was collected.