Finite Math Examples

Create a Grouped Frequency Distribution Table 6.1 , 0.6 , 4.9 , 6.6 , 5.9 , 3.3 , 5.1 , 5.4
6.1 , 0.6 , 4.9 , 6.6 , 5.9 , 3.3 , 5.1 , 5.4
Step 1
The number of classes can be estimated using the rounded output of Sturges' rule, N=1+3.322log(n), where N is the number of classes and n is the number of items in the data set.
1+3.322log(8)=4.00006493
Step 2
Select 4 classes for this example.
4
Step 3
Find the data range by subtracting the minimum data value from the maximum data value. In this case, the data range is 6.6-0.6=6.
6
Step 4
Find the class width by dividing the data range by the desired number of groups. In this case, 64=1.5.
1.5
Step 5
Round 1.5 up to the nearest whole number. This will be the size of each group.
2
Step 6
Start with 0.6 and create 4 groups of size 2.
ClassClassBoundariesFrequency0.6-1.62.6-3.64.6-5.66.6-7.6
Step 7
Determine the class boundaries by subtracting 0.5 from the lower class limit and by adding 0.5 to the upper class limit.
ClassClassBoundariesFrequency0.6-1.60.09-2.12.6-3.62.1-4.14.6-5.64.1-6.16.6-7.66.1-8.1
Step 8
Draw a tally mark next to each class for each value that is contained within that class.
ClassClassBoundariesFrequency0.6-1.60.09-2.1|2.6-3.62.1-4.1|4.6-5.64.1-6.1|||||6.6-7.66.1-8.1||
Step 9
Count the tally marks to determine the frequency of each class.
ClassClassBoundariesFrequency0.6-1.60.09-2.112.6-3.62.1-4.114.6-5.64.1-6.156.6-7.66.1-8.12
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