Descriptive statistics summarize and simplify data, while inferential statistics draw conclusions about populations from sample data.
Descriptive statistics focus on summarizing and simplifying data, providing insights into the characteristics of a dataset. They include measures of center (e.g., mean, median) and spread (e.g., standard deviation).
Inferential statistics aim to make predictions or draw conclusions about a population based on sample data. These statistics involve hypothesis testing and identifying relationships between variables.
Descriptive statistics are used to simplify and summarize data, helping researchers understand the basic features of the dataset.
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