Descriptive and Inferential Statistics are the two major branches of statistical analysis. By definition, descriptive statistics are used to summarize a sample or information about the sample. Inferential statistics, on the other hand, are used to make inferences or generalizations about the broader population. In this post, we will use a real-life(ish) example to illustrate the difference between the two. Related: Top 10 Machine Learning and Data Science Courses Picture this. You own a restaurant and want to know how your business is being perceived by people. So, you give one of your staff, Amy, the responsibility of carrying out…...
Descriptive vs Inferential Statistics. What’s the difference?
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