True or False; A good choice for the number of class groups to use in constructing frequency distribution is to have at least 5 but not more than 15 class groups.
True
True. A good choice for the number of class groups to use in constructing a frequency distribution is to have at least 5 but not more than 15 class groups. This range allows for a balance between having enough groups to capture the variation in the data and not having too many groups, which could result in a loss of information or unnecessary complexity.
True. A good choice for the number of class groups to use in constructing a frequency distribution is generally between 5 and 15. This range allows for a sufficient level of data grouping while avoiding excessive complexity or too much simplification.
To determine the number of class groups, you can use various methods, such as the square root rule, Sturges' formula, or the Freedman-Diaconis rule. One commonly used method is Sturges' formula, which suggests using approximately 1 + 3.3 log(N) class groups, where N is the total number of data points.
For example, if you have 100 data points, applying Sturges' formula would give you about 1 + 3.3 log(100) = 1 + 3.3(2) ≈ 1 + 6.6 ≈ 8 class groups. So, in this case, having between 5 and 15 class groups would be a reasonable choice.