correct? t-Test: Two-Sample Assuming Equal Variances Experimental Controlled Мean Wariance 21.2 20 63.6 10.71428571 Observations 15 15 Pooled Variance 37.15714286 Hypothesized Mean Difference of Stat P(T<=t) one-tail Critical one-tail 28 0.539126552 0.297030432 1.701130934 P(T<=t) two-tail 0.594060864 Critical two-tail 2.048407142 Accept Ho: There is no significance difference between the Experimental and Controlled models. Since computed t (0.539) is less than the critical t (2.048), then the experimental model is better than the controlled model. Since the sample sizes are equal, the pooled variance is actually the average of their individual variances. Since the two-tailed p-value of the t-statistic is 0.594, there is a 59.4 percent probability that the null hypothesis is not rejected.

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Given the results of the t-test (in the picture), which of the following is NOT correct?

Given the results of the t-test (in the picture), which of the following is NOT
correct?
t-Test: Two-Sample Assuming Equal Variances
Experimental Controlled
21.2
Mean
20
Variance
63.6 10.71428571
Observations
15
15
Pooled Variance
37.15714286
Hypothesized Mean Difference
df
28
t Stat
P(T<=t) one-tail
t Critical one-tail
P(T<=t) two-tail
t Critical two-tail
0.539126552
0.297030432
1.701130934
0.594060864
2.048407142
Accept Ho: There is no significance difference between the Experimental and
Controlled models.
Since computed t (0.539) is less than the critical t (2.048), then the experimental
model is better than the controlled model.
Since the sample sizes are equal, the pooled variance is actually the average of their
individual variances.
Since the two-tailed p-value of the t-statistic is 0.594, there is a 59.4 percent
probability that the null hypothesis is not rejected.
Transcribed Image Text:Given the results of the t-test (in the picture), which of the following is NOT correct? t-Test: Two-Sample Assuming Equal Variances Experimental Controlled 21.2 Mean 20 Variance 63.6 10.71428571 Observations 15 15 Pooled Variance 37.15714286 Hypothesized Mean Difference df 28 t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail 0.539126552 0.297030432 1.701130934 0.594060864 2.048407142 Accept Ho: There is no significance difference between the Experimental and Controlled models. Since computed t (0.539) is less than the critical t (2.048), then the experimental model is better than the controlled model. Since the sample sizes are equal, the pooled variance is actually the average of their individual variances. Since the two-tailed p-value of the t-statistic is 0.594, there is a 59.4 percent probability that the null hypothesis is not rejected.
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