In: Statistics and Probability
Two catalysts are being analyzed to determine how they affect the mean yield of a chemical process. Specifically, catalyst 1 is currently in use, but catalyst 2 is acceptable. Since catalyst 2 is cheaper, it should be adopted, providing it does not change the process yield. An experiment is run in the pilot plant and results in the data shown.(a) Is there any difference between the mean yields? Use α = 0.05 and assume equal variances. (b) Find the 100(1-α) % confidence interval for (µ1 - µ2). Use α = 0.05.
Observation Number | Catalyst 1 | Catalyst 2 |
1 | 91.50 | 89.19 |
2 | 94.18 | 90.95 |
3 | 92.18 | 90.46 |
4 | 95.39 | 93.21 |
5 | 91.79 | 97.19 |
6 | 89.07 | 97.04 |
7 | 94.72 | 91.07 |
8 | 89.21 | 92.75 |
given data and necessary calculations are:-
Catalyst 1() | catalyst 2 () | ||
91.5 | 89.19 | 0.570025 | 12.54576 |
94.18 | 90.95 | 3.705625 | 3.175524 |
92.18 | 90.46 | 0.005625 | 5.161984 |
95.39 | 93.21 | 9.828225 | 0.228484 |
91.79 | 97.19 | 0.216225 | 19.87376 |
89.07 | 97.04 | 10.14423 | 18.55886 |
94.72 | 91.07 | 6.076225 | 2.762244 |
89.21 | 92.75 | 9.272025 | 0.000324 |
sum= 738.04 | sum=741.86 | sum=39.8182 | sum=62.307 |
the pooled sd be:-
a).hypothesis:-
here we will do 2 sample t test assuming equal variances.
the test statistic be:-
df = (
t critical value for 95% confidence level = 2.145
[ using t distribution table for df = 14,alpha = 0.05,both sided test]
decision:-
so, we fail to reject the null hypothesis.
conclusion:-
there is not sufficient evidence to support the claim that there is a difference between the mean yields at 0.05 level of significance.
b). the 95% confidence interval for difference (µ1 - µ2) be:-
( -3.37, 2.42 )
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