In: Statistics and Probability
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 701.6 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? claim is the alternative, reject the null and support claim as test statistic (-2.12) is not in the rejection region defined by the critical value (-1.96) Claim is the null, fail to reject the null and cannot support claim as test statistic (-2.12) is not in the rejection region defined by the critical value (-1.645) Claim is the alternative, fail to reject the null and cannot support claim as the test statistic (-2.12) is in the rejection region defined by the the critical value (-1.96) Claim is the null, reject the null and support claim as test statistic (-2.12) 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
= 701.6
= 720
= 62
n = 51
Test statistic = z
= ( - ) / / n
= (701.6 - 720) / 62 / 51
= -2.12
Test statistic = -2.12
= 0.05
Z = Z 0.05 = -1.645
Critical value = -1.645
Test statistic > Critical value
Reject the null and support claim as test statistic (-2.12) is in the rejection region defined by the critical value (-1.645) .