The p-value is... O less than (or equal to) a greater than a This test statistic leads to a decision to... reject the null accept the null fail to reject the null As such, the final conclusion is that... O There is sufficient evidence to warrant rejection of the claim that the first population mean is not equal to the second population mean. O There is not sufficient evidence to warrant rejection of the claim that the first population mean is not equal to the second population mean. O The sample data support the claim that the first population mean is not equal to the second population mean. O There is not sufficient sample evidence to support the claim that the first population mean is not equal to the second population mean.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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You wish to test the following claim (Ha) at a significance level of a
0.01.
Ho: 41
Ha: µ1 # µ2
You believe both populations are normally distributed, but you do not know the standard deviations
for either. However, you also have no reason to believe the variances of the two populations are not
equal. You obtain the following two samples of data.
Sample #1
Sample #2
52.4
66.6
56.9
44
51.3
49.3
51.6
50.4
58.7
31.3
54.4
26.4
39.9
50.1
48.3
24.9
50.9
36.6
54.7
63.4
61.2
42.3 36.3
32.1
37.7
58.4
67.1
35.4
34.1
56.1
43.1
54.7
69
48
56.1
57.8
43.1
54.1
33.2
49.5
What is the test statistic for this sample? (Report answer accurate to three decimal places.)
test statistic =
What is the p-value for this sample? For this calculation, use the degrees of freedom reported from
the technology you are using. (Report answer accurate to four decimal places.)
p-value =
Transcribed Image Text:You wish to test the following claim (Ha) at a significance level of a 0.01. Ho: 41 Ha: µ1 # µ2 You believe both populations are normally distributed, but you do not know the standard deviations for either. However, you also have no reason to believe the variances of the two populations are not equal. You obtain the following two samples of data. Sample #1 Sample #2 52.4 66.6 56.9 44 51.3 49.3 51.6 50.4 58.7 31.3 54.4 26.4 39.9 50.1 48.3 24.9 50.9 36.6 54.7 63.4 61.2 42.3 36.3 32.1 37.7 58.4 67.1 35.4 34.1 56.1 43.1 54.7 69 48 56.1 57.8 43.1 54.1 33.2 49.5 What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? For this calculation, use the degrees of freedom reported from the technology you are using. (Report answer accurate to four decimal places.) p-value =
The p-value is...
O less than (or equal to) a
greater than a
This test statistic leads to a decision to...
O reject the null
O accept the null
O fail to reject the null
As such, the final conclusion is that...
O There is sufficient evidence to warrant rejection of the claim that the first population mean is
not equal to the second population mean.
O There is not sufficient evidence to warrant rejection of the claim that the first population
mean is not equal to the second population mean.
O The sample data support the claim that the first population mean is not equal to the second
population mean.
O There is not sufficient sample evidence to support the claim that the first population mean is
not equal to the second population mean.
Transcribed Image Text:The p-value is... O less than (or equal to) a greater than a This test statistic leads to a decision to... O reject the null O accept the null O fail to reject the null As such, the final conclusion is that... O There is sufficient evidence to warrant rejection of the claim that the first population mean is not equal to the second population mean. O There is not sufficient evidence to warrant rejection of the claim that the first population mean is not equal to the second population mean. O The sample data support the claim that the first population mean is not equal to the second population mean. O There is not sufficient sample evidence to support the claim that the first population mean is not equal to the second population mean.
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