The measures that exist for every numerical data distribution include:
1. Central tendency measures: These measures describe the center or average of the distribution, and include the mean, median, and mode.
2. Dispersion measures: These measures describe the spread or variability of the data, and include the range, variance, standard deviation, and coefficient of variation.
3. Shape measures: These measures describe the shape of the distribution, and include skewness and kurtosis.
4. Quartiles: These are measures that divide the data into four equal parts, with the lower quartile being the 25th percentile, the median being the 50th percentile, and the upper quartile being the 75th percentile.
5. Percentiles: These are measures that divide the data into smaller equal parts, such as the deciles (dividing the data into ten equal parts) or the percentile rank, which indicates the percentage of values that fall below a certain value.
These measures are used to summarize and analyze the characteristics of numerical data distributions.
The measure or measures that exist for every numerical data distribution
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