Quantitative measures meant to summarize and interpret properties of a dataset are instances of:
A) pivot tables.
B) descriptive statistics.
C) linear regressions.
D) outliers.

Question

Quizplus · Accepted Answer

Descriptive statistics are the measures used to summarize and interpret the properties of a dataset. Pivot tables are a tool for organizing and summarizing data, but they are not a quantitative measure. Linear regression is a statistical technique used to study the relationship between two variables, but it is not a measure of the dataset itself. Outliers are data points that fall far outside the normal range of values, but they are not a measure that summarizes the dataset.

Quantitative Measures Meant to Summarize and Interpret Properties of a Dataset