What are the items that refer to components of descriptive statistics?

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Descriptive statistics involves summarizing and describing data. Here are five key components of descriptive statistics:

Measures of central tendency: These include the mean, median, and mode, which provide information about the typical or central value of a dataset.

Measures of dispersion: These measures, such as the range, variance, and standard deviation, quantify the spread or variability of the data points.

Frequency distributions: A frequency distribution displays the number of occurrences of each value or range of values in a dataset, providing insights into the distribution and frequency of different values.

Percentiles and quartiles: These measures divide a dataset into equal parts, such as quartiles (dividing the data into four equal parts) or percentiles (dividing the data into 100 equal parts). They help identify specific positions or ranks within the dataset.

Graphical representations: Descriptive statistics often employ graphs and charts, such as histograms, bar graphs, or box plots, to visually represent the data and provide a clear picture of its characteristics.