Difference between descriptive statistics and inferential statistics
Descriptive statistics refers to the analysis and summary of data, in order to describe and present the main features of a dataset, such as central tendency, dispersion, and shape of the distribution. It is used to summarize and organize data, and does not involve making any conclusions beyond what is present in the dataset itself.
Inferential statistics, on the other hand, is used to make inferences and draw conclusions about a larger population based on a sample of data. It involves using probability and hypothesis testing to make predictions and generalizations about the population being studied. Inferential statistics allows researchers to make statements about relationships, differences, and associations between variables, based on the analysis of a sample.