Distinguish between univariate and bivariate frequency distribution.
A Bivariate Frequency Distribution is defined as the frequency distribution of two variables. It is used to summarize data when we collect more than one type of information from each element of a sample, such as sales and advertisement expenditure. In this distribution, values of one variable are classed in columns and values of the other are classed in rows.
In contrast, a Univariate Frequency Distribution deals with the classification of data for a single variable. Examples from the text include the frequency distribution of percentage marks or the size of households. While bivariate distribution handles two variables, univariate distribution focuses on the frequency of only one variable.
Explanation
The textbook explicitly defines a Bivariate Frequency Distribution as the frequency distribution of two variables, citing the example of sales and advertisement expenditure. While the text does not provide a direct definition for 'Univariate Distribution', it implies the concept through the discussion of frequency arrays and distributions involving single variables like 'percentage marks' or 'size of household'. Additionally, the MCQ in the exercises contrasts the two terms, confirming that Univariate refers to a single variable distribution.