I. Given the Table 1, compute for the following: 1. Estimate the standard deviation of the given data on Tablel. Since we are dealing with frequency distribution then, we are going to use th class mark (cm) as our X;. Hence, the formula for variance is s2 = n-1 and for the sample SD, EX?) – ELX,)² s = V n- 1

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I. Given the Table 1, compute for the following:
1. Estimate the standard deviation of the given data on Table1.
Since we are dealing with frequency distribution then, we are going to use the
class mark (cm) as our X,. Hence, the formula for variance is
n-1
and for the sample SD,
n- 1
2. Estimate the coefficient of variation.
CV = 100%
Table 1. Distribution of astigmatism in 1033 young men age 18-22. *
Frequency
Degree of Astigmatism
0.00 -0.10
Class Mark (X,)
0.05
458
0.20 - 0.30
268
0.25
0.40 - 0.50
0.60 - 1.00
151
0.45
79
0.80
1.10 - 2.00
44
1.55
2.10 - 3.00
19
2.55
3.10 - 4.00
3.55
4.10 - 5.00
3
4.55
5.10 - 6.00
2
5.55
1033
Transcribed Image Text:I. Given the Table 1, compute for the following: 1. Estimate the standard deviation of the given data on Table1. Since we are dealing with frequency distribution then, we are going to use the class mark (cm) as our X,. Hence, the formula for variance is n-1 and for the sample SD, n- 1 2. Estimate the coefficient of variation. CV = 100% Table 1. Distribution of astigmatism in 1033 young men age 18-22. * Frequency Degree of Astigmatism 0.00 -0.10 Class Mark (X,) 0.05 458 0.20 - 0.30 268 0.25 0.40 - 0.50 0.60 - 1.00 151 0.45 79 0.80 1.10 - 2.00 44 1.55 2.10 - 3.00 19 2.55 3.10 - 4.00 3.55 4.10 - 5.00 3 4.55 5.10 - 6.00 2 5.55 1033
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