Final answer:
Sturges' rule suggests using 9 classes or bins for 256 data points.
Step-by-step explanation:
Sturges' rule is a method for determining the number of classes or bins required for a histogram. According to Sturges' rule, the formula to calculate the number of classes is:
K = 1 + log2(n)
Where K is the number of classes and n is the number of data points. In this case, since you have 256 data points, the number of classes suggested by Sturges' rule would be:
K = 1 + log2(256)
K = 1 + log2(28)
K = 1 + 8
K = 9
Therefore, Sturges' rule would suggest using 9 classes or bins for the histogram.