Question

Is the statement below true or​ false? There is not one particular frequency distribution that is​ correct, but there are frequency distributions that are less desirable than others. Choose the correct answer below.
A. The statement is true. Any correctly constructed frequency distribution is valid.​ However, some choices for the categories or classes give more information about the shape of the distribution.
B. The statement is false. There is only one correct frequency distribution for any given data set.
C. The statement is false. All correctly constructed frequency distributions for a given data set are valid and give the same information.
D. The statement is true. Any correctly constructed frequency distribution is valid.​ However, some are less desirable because they take up more space.

Answer 1

Answer:

A. The statement is true. Any correctly constructed frequency distribution is valid.​ However, some choices for the categories or classes give more information about the shape of the distribution.

Explanation:

A frequency distribution is a table containing a summary of the data obtained from a sample. The distribution is organized in table format, and each table entry contains the frequency of the data within a given range, or in a group.

When the data set consists of a large number of data, it is indicated to allocate them in a frequency distribution table or frequency table. The data in this table is divided into pre-established classes, noting the frequency of each class. So a frequency table is a tabular arrangement of the data with the corresponding frequency. Frequency tables are the basis for graphing, so we can conclude that any correctly constructed frequency distribution is valid. However, some options for categories or classes provide more information about the format of the distribution.

Answer 2

Answer:

A

Explanation:

A. The statement is true. Any correctly constructed frequency distribution is valid.​ However, some choices for the categories or classes give more information about the shape of the distribution.