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Date Submitted: 03/12/2012 02:24 PM
CH. 10
31) The test statistic is z= (9 - 10) / (2.8 / sqrt (50) = -2.525
The P value is: P(z < -2.525) = 0.00578.
People in the program lose fewer than 10 pounds.
32) Use a z-test because we're given the standard deviation of the population:
Hypotheses:
H0: mu<=16
Ha: mu>16
The test statistic is:
z=(16.05-16)/(0.03/sqrt(50))= 11.785
The p-value is less than 0.0001, so we reject the null hypothesis. The mean is greater than 16.
38) H0: mu>= 6
Ha: mu<6
The sample statistics is:
average: 5.6375
standard deviation: 0.635
The test statistic is
t=(5.6375-6)/(0.635/sqrt(8)) = -1.615
There is not enough evidence to suggest that the mean is less than 6.
CH. 11
27) Hypotheses:
H0: mu1 = mu2
Ha: mu1 not equal to mu2
The test statistic is: z=(24.51 - 22.69)/sqrt(4.48^2/35+3.86^2/40) = 1.871
P-value = 0.0613
We do not reject the null hypothesis. There is not enough evidence to suggest that the means are equal at the .01 level of significance.
46) The sample statistics are:
Little River Mean: 27.461
Little River Standard deviation: 4.44
Little Rivver Variance: 19.717
Murrells Inlet Mean: 25.689
Murrells Inlet Standard deviation: 2.685
Murrells Inlet Variance: 7.207
H0: mu1 = mu2
Ha: mu1 not equal to mu2
df = (19.727/10 + 7.207/12)^2/((19.717/10)^2/9 + (7.207/12)^2/11) = 14.248
Critical Value = 2.131.
t=(27.461-25.689)/sqrt(19.717/10+7.207/12) = 1.105
We do not reject the null hypothesis. There is not enough evidence to suggest that the means are not the same.
52) Give the data in the Excel table, we do not reject the null hypothesis. There is not enough evidence to say that the means are unequal.
CH. 12
23) Hypotheses:
H0: sigma_oceanfront <= sigma_threeblocks
Ha: sigma_oceanfront > sigma_threeblocks
The critical value is from the F-table. The degrees of freedom are 20 and 17. The value is 3.16
The test...