4.0k views
2 votes
The response times of technicians of a large heating company follow a Normal distribution with a standard deviation of 10 minutes. A supervisor suspects that the mean response time has increased from the target of 30 minutes. He takes a random sample of 25 response times and calculates the sample mean response time to be 33.8 minutes. What is the value of the test statistic for the appropriate hypothesis test?

1 Answer

5 votes

Answer:

The value of z test statistics for the appropriate hypothesis test is 1.90.

Explanation:

We are given that the response times of technicians of a large heating company follow a Normal distribution with a standard deviation of 10 minutes.

He takes a random sample of 25 response times and calculates the sample mean response time to be 33.8 minutes.

Let
\mu = mean response time.

So, Null Hypothesis,
H_0 :
\mu = 30 minutes {means that the mean response time is 30 minutes}

Alternate Hypothesis,
H_A :
\mu > 30 minutes {means that the mean response time has increased from the target of 30 minutes}

The test statistics that would be used here One-sample z test statistics as we know about the population standard deviation;

T.S. =
(\bar X-\mu)/((s)/(√(n) ) ) ~ N(0,1)

where,
\bar X = sample mean response time = 33.8 minutes


\sigma = population standard deviation = 10 minutes

n = sample of response times = 25

So, test statistics =
(33.8-30)/((10)/(√(25) ) )

= 1.90

Hence, the value of z test statistics for the appropriate hypothesis test is 1.90.

User Vasil Velichkov
by
5.6k points