Question

Identify the possible descriptives that could be calculated for a data set, and for what type(s) of variables each is valid?

Answer 1

Descriptive statistics involves calculating measures to describe and summarize data. Measures of central tendency, dispersion, and shape can be calculated for a data set.

Step-by-step explanation:

Descriptive statistics is a branch of statistics that aims to describe and summarize data. There are several descriptive measures that can be calculated for a data set:

1. Measures of Central Tendency: These measures represent the central or average value of the data set. Examples include the mean, median, and mode. These measures are valid for both quantitative and qualitative variables.
2. Measures of Dispersion: These measures indicate the spread or variability of the data set. Examples include the range, variance, and standard deviation. These measures are valid for quantitative variables.
3. Measures of Shape: These measures describe the shape or distribution of the data set. Examples include skewness and kurtosis. These measures are valid for quantitative variables.