In: Statistics and Probability
I am using a course that requires me to use excel.I am able to figure everything out except the test statistic
A marine biologist claims that the mean length of mature female pink seaperch is different in fall and winter. A sample of 15 mature female pink seaperch collected in fall has a mean length of 108 millimeters and a standard deviation of 15 millimeters. A sample of 8 mature female pink seaperch collected in winter has a mean length of 106 millimeters and a standard deviation of 13 millimeters. At alphaequals0.02, can you support the marine biologist's claim? Assume the population variances are equal. Assume the samples are random and independent, and the populations are normally distributed. Complete parts (a) through (e) below.
i am using excel to solve the problem.
i am denoting mean length of pink seaperch in fall as sample 1 and mean length of pink seaperch in winter as sample 2.
steps:-
open an excel spreadsheet add -ins Phstat two sample tests (summarized data)pooled-variance t test in hypothesized difference type 0 , in level of signifiacnce type 0.02 in population 1 sample , type 15 in sample size, 108 in sample mean and 15 in sample standard deviation in population 2 sample , type 8 in sample size, 106 in sample mean and 13 in sample standard deviation in test options select two- tail test ok
your excel output be:-
Pooled-Variance t Test for the Difference Between Two Means | |
(assumes equal population variances) | |
Data | |
Hypothesized Difference | 0 |
Level of Significance | 0.02 |
Population 1 Sample | |
Sample Size | 15 |
Sample Mean | 108 |
Sample Standard Deviation | 15 |
Population 2 Sample | |
Sample Size | 8 |
Sample Mean | 106 |
Sample Standard Deviation | 13 |
Intermediate Calculations | |
Population 1 Sample Degrees of Freedom | 14 |
Population 2 Sample Degrees of Freedom | 7 |
Total Degrees of Freedom | 21 |
Pooled Variance | 206.3333 |
Standard Error | 6.2887 |
Difference in Sample Means | 2.0000 |
t Test Statistic | 0.3180 |
Two-Tail Test | |
Lower Critical Value | -2.5176 |
Upper Critical Value | 2.5176 |
p-Value | 0.7536 |
Do not reject the null hypothesis |
ANSWERS:-
a). hypothesis:-
b).test statistic = 0.3180
c). p value = 0.7536
d).decision:-
p value = 0.7536 > 0.02 (alpha)
so, we fail to reject the null hypothesis.
e).conclusion:-
there is not sufficient evidence to support the claim that the mean length of mature female pink seaperch is different in fall and winter at 0.02 level of significance.
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