Question #16455

Given a sample size of 65, with sample mean 726.2 and sample standard deviation 85.3, we perform the following hypothesis test.

Ho: μ = 750
H1: μ < 750

What is the conclusion of the test at the σ= 0.10 level? Explain your answer.

Expert's answer

Conditions

Given a sample size of 65, with sample mean 726.2 and sample standard deviation 85.3, we perform the following hypothesis test.

Ho: μ=750\mu = 750

H1: μ<750\mu < 750

What is the conclusion of the test at the σ=0.10\sigma = 0.10 level? Explain your answer.

Solution

Here we must use t-test.


E(X)=726.2E(X) = 726.2σ=85.3\sigma = 85.3


Following to the t-test criterion:


t=E(X)μ0σ/n=726.275085.3/652.24949t = \frac{|E(X) - \mu_0|}{\sigma / \sqrt{n}} = \frac{|726.2 - 750|}{85.3 / \sqrt{65}} \approx 2.24949


The degrees of freedom used in this test is n1=64n - 1 = 64

So, for these degrees there are following t-criterion (taken from a special table of t-criterion values):

- 1.997 for p=0.95p = 0.95

- 2.3851 for p=0.98p = 0.98

- 2.6536 for p=0.01p = 0.01

- 3.4466 for p=0.001p = 0.001

As we have t=2.24949t = 2.24949, which is >1.997> 1.997 but <2.3851< 2.3851, we can say, that with probability of 0.95%0.95\% the hypothesis Ho is rejected.

For σ=0.10\sigma = 0.10 we have the following calculations:


t=E(X)μ0σ/n=726.27500.1/651918.82t = \frac{|E(X) - \mu_0|}{\sigma / \sqrt{n}} = \frac{|726.2 - 750|}{0.1 / \sqrt{65}} \approx 1918.82


t-criterion = 3.4466 for p=0.001p = 0.001 and no more values for t-criterion in the table.

Here we can say, that with the probability of 99.9%99.9\% the hypothesis Ho is rejected.

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