The formula to determine the number of classes given by Sturge’s Rule is which one of the following?

Correct option is A

The correct answer is (a) $$K = 1 + 3.322 \log_{10} N$$​.
Sturge’s Rule is a statistical method used to determine the optimal number of classes (K) for creating a frequency distribution from a dataset of N observations. It aims to balance the loss of information with the need for data summarization. The constant 3.322 is derived from $$1 / \log_{10} 2$$​, linking the rule to the binary power of the sample size.
Information booster
· Purpose: Prevents having too many small classes or too few large classes in a histogram.
· Variable N: Represents the total number of observations or sample size.
· Logarithmic Base: Specifically uses base 10 logarithms $$(log_{10})$$​for the calculation.
· Rounding: The resulting value of K is typically rounded to the nearest whole number.