A factory manufactures cellphone batteries that have a duration that is distributed in an approximately normal way with a mean of 800 hours and a standard deviation of 40 hours. A random sample of 30 batteries has a mean duration of 785 hours.
a) Does that data show enough evidence to say that the mean duration is less than 800 hours? Use a significance level of 5%
b) What is the probability of saying that the mean is of 800 hours when in reality it is of 780 hours?
a)
The test hypothesis is
This is a left-tailed test because the alternative hypothesis is
formulated to detect claim if mean is less than 800.0.
Now, the value of test static can be found out by following
formula:
OR
b)
The probability (= 0.005) of saying that the mean
is of 800 hours when in reality it is of 780 hours
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