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Report an appropriate hypothesis test and use a 5% significance level. Explain the power of the test in words, in context. The power of the test is the probability of … Group of answer choices … accepting that firing temperature affects density, when that is true. … accepting that density affects firing temperature, when that is true. … not accepting that firing temperature affects density, when that was indeed not true. … not accepting that density affects firing temperature, when that was indeed not true

Report an appropriate hypothesis test and use a 5% significance level. Explain the power of the test in words, in context. The power of the test is the probability of … Group of answer choices … accepting that firing temperature affects density, when that is true. … accepting that density affects firing temperature, when that is true. … not accepting that firing temperature affects density, when that was indeed not true. … not accepting that density affects firing temperature, when that was indeed not true

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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Report an appropriate hypothesis test and use a 5% significance level.

Explain the power of the test in words, in context.

The power of the test is the probability of …

Group of answer choices
… accepting that firing temperature affects density, when that is true.
… accepting that density affects firing temperature, when that is true.
… not accepting that firing temperature affects density, when that was indeed not true.
… not accepting that density affects firing temperature, when that was indeed not true.
Use the information provided below for the BRICKS questions that follow. ONE-WAY ANOVA Data from #13-13 pp.520 of "Applied Statistics and Probability for Engineers" Fourth edition by Douglas C. Montgomery & George C. Runger. The goal of this experiment was to see if four specific firing temperatures (100, 125, 150 and 175 deg F) had any effect on the density of a certain type of brick. The units for density are not known. The firing temperatures are being treated as categories rather than quantities. 22 21.9 21.8 21.7 21.6 21.5 21.4 21.3 • 100 1 125 A 150 • 175 Anova: Single Factor SUMMARY Groups Count Sum Average Variance 100 7 152 21.7143 0.0181 125 4 86.1 21.525 0.0158 150 108.6 21.72 0.027 175 130.5 21.75 0.011 ANOVA Source of Variation SS df MS P-value F crit Between Groups 0.1391 0.0464 2.6159 0.0827 3.1599 Within Groups 0.3191 18 0.0177 Total 0.4582 21 Density
Transcribed Image Text:Use the information provided below for the BRICKS questions that follow. ONE-WAY ANOVA Data from #13-13 pp.520 of "Applied Statistics and Probability for Engineers" Fourth edition by Douglas C. Montgomery & George C. Runger. The goal of this experiment was to see if four specific firing temperatures (100, 125, 150 and 175 deg F) had any effect on the density of a certain type of brick. The units for density are not known. The firing temperatures are being treated as categories rather than quantities. 22 21.9 21.8 21.7 21.6 21.5 21.4 21.3 • 100 1 125 A 150 • 175 Anova: Single Factor SUMMARY Groups Count Sum Average Variance 100 7 152 21.7143 0.0181 125 4 86.1 21.525 0.0158 150 108.6 21.72 0.027 175 130.5 21.75 0.011 ANOVA Source of Variation SS df MS P-value F crit Between Groups 0.1391 0.0464 2.6159 0.0827 3.1599 Within Groups 0.3191 18 0.0177 Total 0.4582 21 Density
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