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, s = Vs? 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 - 0.50 151 0.45 0.60 - 1.00 79 0.80 1.10 - 2.00 44 1.55 2.10 - 3.00 3.10 - 4.00 19 2.55 3.55 4.10 - 5.00 5.10 - 6.00 4.55 5.55 3 2 1033
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, s = Vs? 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 - 0.50 151 0.45 0.60 - 1.00 79 0.80 1.10 - 2.00 44 1.55 2.10 - 3.00 3.10 - 4.00 19 2.55 3.55 4.10 - 5.00 5.10 - 6.00 4.55 5.55 3 2 1033
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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answer 2
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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