What is the difference between descriptive statistical analysis and inferential statistical analysis?

Answer 1

Hello!

In descriptive statistical analysis, data is arranged and summarized to highlight key characteristics. This comprises statistics that shed light on the data's overall distribution, dispersion, and central tendency, such as mean, median, mode, range, and standard deviation. Large volumes of data are presented in a manageable and understandable way using descriptive statistics, frequently using graphs, charts, and tables.

On the other hand, inferential statistical analysis entails drawing conclusions or predictions about a population from a sample of data. Regression analysis, confidence intervals, and hypothesis testing are some of the methods used in this kind of study to assess the probability that patterns seen in the sample data are representative of the broader population. Researchers can generalize findings beyond the current data by using inferential statistics, which enables them to make decisions and draw conclusions under uncertainty.

I hope this helps. If you have any additional questions, please feel free to reach out. Take care,

Dr. Christal-Joy Turner