An engineer is comparing voltages for two types of batteries (K and Q) using a sample of 89 type K batteries and a sample of 103 type Q batteries. The mean voltage is measured as 8.51 for the type K batteries with a standard deviation of 0.312, and the mean voltage is 8.77 for type Q batteries with a standard deviation of 0.779. Conduct a hypothesis test for the conjecture that the mean voltage for these two types of batteries is different. Let μ1 be the true mean voltage for type K batteries and μ2 be the true mean voltage for type Q batteries. Use a 0.05 level of significance. Step 4 of 4 : Make the decision for the hypothesis test.
Two-Sample T-Test and CI
Method
μ₁: mean of type k battries |
µ₂: mean of type Q battries |
Difference: μ₁ - µ₂ |
Equal variances are assumed for this analysis.
Descriptive Statistics
Sample | N | Mean | StDev | SE Mean |
Sample 1 | 89 | 8.510 | 0.312 | 0.033 |
Sample 2 | 103 | 8.770 | 0.779 | 0.077 |
Estimation for Difference
Difference |
Pooled StDev |
95% CI for Difference |
-0.2600 | 0.6090 | (-0.4338, -0.0862) |
Test
Null hypothesis | H₀: μ₁ - µ₂ = 0 |
Alternative hypothesis | H₁: μ₁ - µ₂ ≠ 0 |
T-Value | DF | P-Value |
-2.95 | 190 | 0.004 |
Since p-value is less than we reject null hypothesis and we conclude that there is significant difference between the battries.
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