Gorge Udny Yule said:
“Measurement does not necessarily mean progress. Failing the possibility of measuring that which you desire, the lust for measurement may, for example, merely result in your measuring something else-and perhaps forgetting the difference- or in ignoring some things because they cannot be measured…”

We have said that descriptive statistics involves the arrangment and display of observed data, which are then summarize and analyzed by means of inferential statistics in order to reach some decision. The manner in which the data are described and the procedures followed for their analysis depend upon the decision-making goal and the nature of the data.
The weight of a sample of 40 statistic students in STIE DEWANTARA BOGOR is shown in table 1 below. If we wish to describe this sample, how should we proceed?
Table 1
_______________________________
Weight of 40 Statistic Students
in STIE DEWANTARA BOGOR
________________________________
78 72 74 79 74 71 75 74 72 68
72 73 72 74 75 74 73 74 65 72
66 75 80 69 82 73 74 72 79 71
70 75 71 70 70 70 75 76 77 67
_________________________________
These are the steps how to proceed that data to become Frequency Distribution.
1. Arrange the data
Table 2
_______________________________
Weight of 40 Statistic Students
in STIE DEWANTARA BOGOR
________________________________
65 66 67 68 69 70 70 70 70 71
71 71 72 72 72 72 72 72 73 73
73 74 74 74 74 74 74 74 75 75
75 75 75 76 77 78 79 79 80 82
_________________________________
2. Range (R) = 82 – 65 = 17
3. Sum of the class (k) =
k = 1 + 3,3 log n (Sturgess Way)
k = 1 + 3,3 log 40
= 1 + 5,3 = 6,3 = 6
4. Class interval (i) :
i = 17/6 = 2,83 = 3
Here is the results shown on the table 3 below:
Table 3
Frequency Distributions
Weight of 40 Statistic Students
in STIE DEWANTARA BOGOR
____________________________________
Weight (Kg) Frequency
———————————————————–
65 – 67 3
68 – 70 6
71 – 73 12
74 – 76 13
77 – 79 4
80 – 82 2
——————————————————
TOTAL 40
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Hopefully this article can be useful to helps you studying Statistics…
See you next time…