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) Level 95% Confidence Interval (J) Level Mean Difference (- J) Lower Bound Std. Error Sig. Upper Bound 1.00 2.00 8.56876 3.80486 .067 .4626 17.6002 3.00 8.51465 3.87487 .076 -.6830 17.7123 1.00 2.00 3.80486 -8.56876 067 -17.6002 4626 3.00 -.05411 4.80851 1.000 -11.4678 11.3596 3.00 1.00 -8.51465 3.87487 .076 -17.7123 6830 2.00 .05411 4.80851 1.000 -11.3596 11.4678

) Level 95% Confidence Interval (J) Level Mean Difference (- J) Lower Bound Std. Error Sig. Upper Bound 1.00 2.00 8.56876 3.80486 .067 .4626 17.6002 3.00 8.51465 3.87487 .076 -.6830 17.7123 1.00 2.00 3.80486 -8.56876 067 -17.6002 4626 3.00 -.05411 4.80851 1.000 -11.4678 11.3596 3.00 1.00 -8.51465 3.87487 .076 -17.7123 6830 2.00 .05411 4.80851 1.000 -11.3596 11.4678

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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Tukey Test A display of the Bonferroni test results from Table 12-1 (which is part of the Chapter Problem) is provided on page 577. Shown on the top of the next page is the SPSS-generated display of results from the Tukey test using the same data. Compare the Tukey test results to those from the Bonferroni test.

SPSS

) Level 95% Confidence Interval (J) Level Mean Difference (- J) Lower Bound Std. Error Sig. Upper Bound 1.00 2.00 8.56876 3.80486 .067 .4626 17.6002 3.00 8.51465 3.87487 .076 -.6830 17.7123 1.00 2.00 3.80486 -8.56876 067 -17.6002 4626 3.00 -.05411 4.80851 1.000 -11.4678 11.3596 3.00 1.00 -8.51465 3.87487 .076 -17.7123 6830 2.00 .05411 4.80851 1.000 -11.3596 11.4678
Transcribed Image Text:) Level 95% Confidence Interval (J) Level Mean Difference (- J) Lower Bound Std. Error Sig. Upper Bound 1.00 2.00 8.56876 3.80486 .067 .4626 17.6002 3.00 8.51465 3.87487 .076 -.6830 17.7123 1.00 2.00 3.80486 -8.56876 067 -17.6002 4626 3.00 -.05411 4.80851 1.000 -11.4678 11.3596 3.00 1.00 -8.51465 3.87487 .076 -17.7123 6830 2.00 .05411 4.80851 1.000 -11.3596 11.4678
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