Download the dataset "HT_4029.xls" and conduct a two-sample t-test using Excel. (You can find the dataset in Canvas by clicking the "Files" link (on the left hand menu), and searching in the HT_1234 data" folder.) You'd like to test the null hypothesis that the means of the two samples (column A and column B) are the same. The alternative hypothesis is that they are not the same. You have no reason to believe that the standard deviations of the two samples are equal. Test at the alpha = 0.10 level. After using Excel, what do you conclude? Are the means the same? Group of answer choices You cannot reject the null hypothesis. Therefore, you conclude that the means of the two populations are the same. You reject the null hypothesis. Therefore, you conclude that the means of the two populations are the same. You cannot reject the null hypothesis. Therefore, you conclude that the means of the two populations are different. You reject the null hypothesis.
Download the dataset "HT_4029.xls" and conduct a two-sample t-test using Excel. (You can find the dataset in Canvas by clicking the "Files" link (on the left hand menu), and searching in the HT_1234 data" folder.) You'd like to test the null hypothesis that the
After using Excel, what do you conclude?
Are the means the same?
Group of answer choices
You cannot reject the null hypothesis. Therefore, you conclude that the means of the two populations are the same.
You reject the null hypothesis. Therefore, you conclude that the means of the two populations are the same.
You cannot reject the null hypothesis. Therefore, you conclude that the means of the two populations are different.
You reject the null hypothesis. Therefore, you conclude that the means of the two populations are different.
HT_4029.xls
X1 X2
102.69 97.86
98.24 98.15
104.67 97.32
100.57 103.54
98.64 106.85
95.67 104.35
102.98 101.37
99.52 99.43
107.02 100.70
98.40 101.93
105.70 96.84
102.46 96.46
94.84 96.43
104.58 99.92
102.17 97.23
100.59 104.33
98.08 100.35
100.64 101.72
99.08 100.50
106.17 99.60
97.91 95.89
101.18 101.91
96.54 101.02
100.29 98.65
102.47 101.80
101.24 93.86
99.06 96.77
101.24 100.06
95.16 91.89
94.93
103.12
100.65
100.27
99.23
91.69
97.97
97.79
100.10
97.17
103.62
The objective is to test the null hypothesis that the means of the two samples (column A and column B) are the same. The alternative hypothesis is that they are not the same. You have no reason to believe that the standard deviations of the two samples are equal.
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