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Briefly explain the three decisions that have to be made to group a data set in the form of a frequency distribution table.

Short Answer

Expert verified
The three decisions involved in constructing a frequency distribution table are determining the number of classes, deciding on the class width, and establishing the class limits.

Step by step solution

01

Decision on Number of Classes

The first decision to be made when constructing a frequency distribution table is the number of classes or groups to include. Generally, this decision is made based on the data set size and the level of detail needed for the analysis. Too many or too few classes can hinder the analysis of the data. A common rule of thumb is to have between 5 and 20 classes.
02

Determining the Class Width

The second decision involves determining the width of the classes. This is the range of data values that each class will contain. This decision depends on the spread of data in the data set. To compute class width, subtract the smallest data value from the largest and divide by the number of classes. The class width should generally be a simple number that facilitates easy data categorization and interpretation.
03

Establishing Class Limits

The third decision is about establishing the class limits. These limits define the data range included in each class and are important in avoiding data overlap between classes. The lower limit of a class is the smallest data value it can include, and the upper limit is the highest value. Typically, in a frequency distribution table, the class limits are clearly stated to ensure the data's proper categorization.

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