The approximate number of classes to construct a frequency distribution for n number of observations is obtain by using following formula.
K=1+3.322log10 n
where K= Number of classes
and log10 n = Logarithm of the total number of observations of base 10.
Example: If the total number of observations is 70, so the number of classes (K) are
K=1+3.322log10 100
K=1+3.322(2)
K= 1 + 6.644 = 7.644 = 8
K = 8
So for n = 100 we need approximate 8 classes.
If you have a data set with n observations and want to construct a frequency distribution,...
Construct a frequency distribution and a frequency histogram for the data set using the indicated number of classes. Describe any patterns. number of classes: 8 Number of classes: 8 Data set: Finishing times (in seconds) of 20 male participants in a 5K race 1716 1632 1571 1475 2295 1447 1249 1801 1593 1775 1956 1521 1824 1619 1303 1818 2022 2081 1580 1478 Construct a frequency distribution of the data. Use the minimum data entry as the lower limit of...
Construct a frequency distribution and a frequency histogram for the data set using the indicated number of classes. Describe any patterns. Number of classes: 8 Data set: Finishing times (in seconds) of 20 male participants in a 5K race Construct a frequency distribution of the data. Use the minimum data entry as the lower limit of the first class. Construct a frequency histogram of the data. Describe any patterns. Choose the correct answer below. A. the classes with the greatest...
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