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,.


