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Problem II (10pts) It is important to group a set of raw data as a first step for statistical analysis. Suppose that we have a se of 518 human height data in meter that we want to group. In this case, how many class intervals we should have in the frequency distribution of the data by using Sturgess rule? Also, how wide the intervals should be? What is the width you finally want to choose? (*shortest height: 148 cm and talles height: 198 cm) (10 pts)
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Sturges rule to find the number of classes is given as follows k-1+3.322 log(n) where k number of classes n number of observations logarithm is taken with base 10 we have, n 518 human height data. So, k 13.322 log(518) - 13.322 2.7143 10.0 1700346 10 10 class intervals should have in the frequency distribution of the data by using Sturges rule The width of the interval can be calculated as max-min min 148: shortest height max 198: tallest height 198 148 50 10 10 We will choose the width of the class as 5

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