A light bulb manufacturer guarantees that the mean life of a certain type of light bulb is at least 720 hours. A random sample of 51 light bulbs as a mean of 712.8 hours with a population standard deviation of 62 hours. At an α=0.05, can you support the company’s claim using the test statistic? @See text pages 368-370
A. Claim is the null, fail to reject the null and support claim as test statistic (-0.83) is not in the rejection region defined by the critical value (-1.645)
B. Claim is the alternative, fail to reject the null and cannot support claim as the test statistic (-0.83) is in the rejection region defined by the critical value (-1.96)
C. Claim is the alternative, reject the null and support claim as test statistic (-0.83) is not in the rejection region defined by the critical value (-1.96)
D. Claim is the null, reject the null and cannot support claim as test statistic (-0.83) is in the rejection region defined by the critical value (-1.645)
Solution :
This is the left tailed test .
The null and alternative hypothesis is ,
H0 : 720
Ha : < 720
Test statistic = z
= ( - ) / / n
= (712.8 - 720) / 62 / 51
= -0.83
= 0.05
Z 0.05 = -1.645
Critical value = -1.645
Test statistic < Critical value
Fail to reject the null hypothesis .
A. Claim is the null, fail to reject the null and support claim as test statistic (-0.83) is not in the rejection
region defined by the critical value (-1.645)
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