You are trying to reduce the variance in a key characteristi

You are trying to reduce the variance in a key characteristic of one of your products. The data given provides this characteristic for the current process (Column A) and a proposed improvement (Column B). Prove if the proposed improvement reduces the variance in this key characteristic (95% confidence level).

A                                                                                        B

25.54577 25.67327
23.50771 23.86543
23.42485 24.81563
25.1212 24.30567
27.54136 24.9152
25.45593 23.34938
26.44874 27.30754
24.70758 24.58797
24.49469 23.2799
21.1739 26.01773
24.74459 27.75141
24.69975 25.60878
24.07189 25.24285
27.35402 24.66639
23.39427 27.38071
24.51747 26.07484
23.45714 23.60644
26.27789 25.42054
26.17935 23.55516
25.19157 27.08357
26.09361 22.75457
25.57301 26.29129
24.75137 26.03199
25.05291 25.5516
27.43376 26.48897
23.91109 26.68481
23.35028 25.91504
27.21022 24.53085
23.42229 23.50098
26.10368 24.0603
25.33961 25.57939
25.21537 24.04842
28.30589 24.53672
24.10033 24.90996
23.73595 26.02011
23.48726 24.85433
29.80506 24.62203
24.54368 24.16696
22.40298 24.12955
24.72677 23.39158
23.00081 26.72716
25.04782 24.93902
25.05025 24.93112
25.05267 24.92321
25.05509 24.91531
25.05751 24.90741
25.05993 24.8995

Solution

Var(A) = 2.4675

Var(B)= 1.4065

n1=n2 = 47

Use F test to compare the variances

F = s1^2/s2^2 = 1.754

df = n1-1, n2-1 = 46,46

Set up hypotheses as:

H0: Var A = Var B

Ha: Var A>Var B

Right tailed test

p = 0.0299

At 5% sign level alpha = 0.05

As p <alpha, reject null hypothesis

Variance B is less than variance A is statistically evident at 5% sign level,.

You are trying to reduce the variance in a key characteristic of one of your products. The data given provides this characteristic for the current process (Colu
You are trying to reduce the variance in a key characteristic of one of your products. The data given provides this characteristic for the current process (Colu

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