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An oceanographer wants to test, on the basis of the mean of a random sample of...

An oceanographer wants to test, on the basis of the mean of a random sample of size ? = 35 and at the 0.05 level of significance, whether the average depth ocean in a certain area is 72.4 fathoms, as has been recorded. What will she decide if she gets ?̅ = 73.2 fathoms, and she can assume from information gathered in similar studies that σ = 2.1 fathoms?

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Answer #1

Solution:

Given:

Sample size = n = 35

Sample mean = 7=733

Level of significance = 0.05

Population Standard Deviation = 0 = 2.1

We have to test whether the average depth ocean in a certain area is 72.4 fathoms or not, since this statement is non-directional, we use two tailed test.

Thus we use following steps:

Step 1) State H0 and H1:

Η :μ = 72.4

Vs

H: # 72.4

Step 2) Find test statistic:

urlo

73.2 – 72.4 2.1/35

| 0.8 2.15.916080

10.8 0.354965

了=25

Step 3) Find z critical values:

Level of significance = 0.05

Since this is two tailed test, find Area = 0.05/2 = 0.025

Look in z  table for Area = 0.0250 or its closest area and find corresponding z value.

– -3.4 -3.3 -3.2 -3.1 -3.0 -2.9 -2.8 -2.7 -2.6 -2.5 -2.4 .00 .0003 .0005 .0007 .0010 .0013 .0019 .0026 .0035 .0047 .0062 .008

Area 0.0250 corresponds to -1.9 and 0.06

thus z critical value = -1.96

Since this is two tailed test, we have two z critical values: ( -1.96 , 1.96)

Step 4) Decision rule ( Rejection region)

Reject null hypothesis ,if z  test statistic value < z critical value = -1.96

or z  test statistic value> z critical value = 1.96   ,

otherwise we fail to reject H0.

Since  z  test statistic value = 2.25 > z critical value = 1.96 , we reject null hypothesis H0.

Step 5) Conclusion:

There is not sufficient evidence to conclude that: the average depth ocean in a certain area is 72.4 fathoms

that is : the average depth ocean in a certain area is different from 72.4 fathoms

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