If you have data about a population, which type of statistics could you use to describe your data?

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Descriptive statistics are used to summarize and describe the main features of a data set. They let you report measures of central tendency (like the mean, median, and mode), dispersion (such as range, variance, and standard deviation), and the overall shape or distribution of the data, often with frequency counts or charts. This approach provides a concise snapshot of the data you have about the population without extending conclusions beyond those observations. Inferential statistics would be used to generalize findings from a sample to a larger population, predictive statistics to forecast future data, and causal statistics to establish cause-and-effect relationships. Since the goal here is to describe the data you’ve collected, descriptive statistics is the best fit.