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Consider the following printout: Two-Sample T Tests for Size by Location Location N Mean SD SE 1 2 Difference 25 3102.4 1407.3 281.45 25 3721.4 2017.1 403.42 -619.00 1739.1 491.90 T-Tests for Mean Difference Null Hypothesis: difference = 0 Alternative Hyp: difference * 0 Lower Upper Method Variances DF T P 95% C.I. 95% C.I. Pooled Equal 48 -1.26 0.2143 Satterthwaite Unequal 42.9 -1.26 0.2151 -1608.0 370.03 -1611.1 373.08 Homogeneity of Variances DF F P Folded F Test (two-sided) 24,24 2.05 0.0841 Cases Included 50 Missing Cases 0 Looking at the 95% confidence interval on the printout, what conclusion can be made about mu1 and mu2? We are 95% confident that mu1 equals mu2. We cannot determine which mean is bigger. O We are 95% confident that mu2 exceeds mu1. We are 95% confident that mu1 exceeds mu2

Consider the following printout: Two-Sample T Tests for Size by Location Location N Mean SD SE 1 2 Difference 25 3102.4 1407.3 281.45 25 3721.4 2017.1 403.42 -619.00 1739.1 491.90 T-Tests for Mean Difference Null Hypothesis: difference = 0 Alternative Hyp: difference * 0 Lower Upper Method Variances DF T P 95% C.I. 95% C.I. Pooled Equal 48 -1.26 0.2143 Satterthwaite Unequal 42.9 -1.26 0.2151 -1608.0 370.03 -1611.1 373.08 Homogeneity of Variances DF F P Folded F Test (two-sided) 24,24 2.05 0.0841 Cases Included 50 Missing Cases 0 Looking at the 95% confidence interval on the printout, what conclusion can be made about mu1 and mu2? We are 95% confident that mu1 equals mu2. We cannot determine which mean is bigger. O We are 95% confident that mu2 exceeds mu1. We are 95% confident that mu1 exceeds mu2

MATLAB: An Introduction with Applications
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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Consider the following printout: Two-Sample T Tests for Size by Location Location N Mean SD SE 1 2 Difference 25 3102.4 1407.3 281.45 25 3721.4 2017.1 403.42 -619.00 1739.1 491.90 T-Tests for Mean Difference Null Hypothesis: difference = 0 Alternative Hyp: difference * 0 Lower Upper Method Variances DF T P 95% C.I. 95% C.I. Pooled Equal 48 -1.26 0.2143 Satterthwaite Unequal 42.9 -1.26 0.2151 -1608.0 370.03 -1611.1 373.08 Homogeneity of Variances DF F P Folded F Test (two-sided) 24,24 2.05 0.0841 Cases Included 50 Missing Cases 0 Looking at the 95% confidence interval on the printout, what conclusion can be made about mu1 and mu2? We are 95% confident that mu1 equals mu2. We cannot determine which mean is bigger. O We are 95% confident that mu2 exceeds mu1. We are 95% confident that mu1 exceeds mu2
Transcribed Image Text:Consider the following printout: Two-Sample T Tests for Size by Location Location N Mean SD SE 1 2 Difference 25 3102.4 1407.3 281.45 25 3721.4 2017.1 403.42 -619.00 1739.1 491.90 T-Tests for Mean Difference Null Hypothesis: difference = 0 Alternative Hyp: difference * 0 Lower Upper Method Variances DF T P 95% C.I. 95% C.I. Pooled Equal 48 -1.26 0.2143 Satterthwaite Unequal 42.9 -1.26 0.2151 -1608.0 370.03 -1611.1 373.08 Homogeneity of Variances DF F P Folded F Test (two-sided) 24,24 2.05 0.0841 Cases Included 50 Missing Cases 0 Looking at the 95% confidence interval on the printout, what conclusion can be made about mu1 and mu2? We are 95% confident that mu1 equals mu2. We cannot determine which mean is bigger. O We are 95% confident that mu2 exceeds mu1. We are 95% confident that mu1 exceeds mu2
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