Suppose a business statistics student must make a frequency histogram for a set of data, and that there are 40 data values with a maximum value of 100 and a minimum value of 45. Further, suppose that the student uses the following procedure: He uses a quotient of data range/number classes = 55/6 ? 9.17 to get the class width, then decides to use class widths of 9, for convenience, with a lower 1st class limit of 45. Near the end of his work, he becomes concerned about whether he did the problem correctly, because the largest data value is not a member of the last class. Why?

A) He chose too many classes to have adequate classes to classify all the data.

B) He should have chosen more classes.

C)He has 6 classes that are 9 units wide for a coverage of 54 units. the starting points is 45, yielding 45+53=99. the last class has non-inclusive upper endpoint of 99.

D) The procedure is correct, but he just had bad luck.