example 12.14) Suppose a company manufacturing light bulbs is using two different processes A and B. The life of the light bulbs of process A has a normal distribution with mean µ¡ and standard deviation O1. Similarly, for process B, it is and 02. The data pertaining to the two processes are given below: Sample A Sample B n, = 16 X, = 1200 hr O, = 60 hr N2 = 21 X2 = 1300 hr O2 = 50 hr We have to test the hypothesis that the variability of the two processes is the same.

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Example 12.14) Suppose a company manufacturing light bulbs is using two different processes A and B.
The life of the light bulbs of process A has a normal distribution with mean µj and standard deviation
O1. Similarly, for process B, it is µ, and ơ,. The data pertaining to the two processes are given below:
Sample A
Sample B
16
N2 = 21
X2 = 1300 hr
O2 = 50 hr
%3D
X, = 1200 hr
Oq = 60 hr
%3D
We have to test the hypothesis that the variability of the two processes is the same.
Transcribed Image Text:Example 12.14) Suppose a company manufacturing light bulbs is using two different processes A and B. The life of the light bulbs of process A has a normal distribution with mean µj and standard deviation O1. Similarly, for process B, it is µ, and ơ,. The data pertaining to the two processes are given below: Sample A Sample B 16 N2 = 21 X2 = 1300 hr O2 = 50 hr %3D X, = 1200 hr Oq = 60 hr %3D We have to test the hypothesis that the variability of the two processes is the same.
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