Report an appropriate hypothesis test and use a 5% significance level.Explain the potential error in words, in context.Group of answer choicesWe would be accepting that density affects firing temperature, when that was not the case.We would be accepting that firing temperature affects density, when that was not the case.We would not be accepting that firing temperature affects density, when that was actually the case.We would not be accepting that density affects firing temperature, when that was actually the case. Use the information provided below for the BRICKS questions that follow.ONE-WAY ANOVAData 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 and175 deg F) had any effect on the density of a certain type of brick. The units for density arenot known. The firing temperatures are being treated as categories rather than quantities.2221.921.821.721.621.521.421.3• 1001 125A 150• 175Anova: Single FactorSUMMARYGroupsCountSumAverageVariance100715221.71430.0181125486.121.5250.0158150108.621.720.027175130.521.750.011ANOVASource of VariationSSdfMSP-valueF critBetween Groups0.13910.04642.61590.08273.1599Within Groups0.3191180.0177Total0.458221Density

Name: Report an appropriate hypothesis test and use a 5% significance level.
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Description: Report an appropriate hypothesis test and use a 5% significance level.Explain the potential error in words, in context.Group of answer choicesWe would be accepting that density affects firing temperature, when that was not the case.We would be accept

The goal of the experiment is to verify that if the four specific firing temperatures had any effect…

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

Explain the potential error in words, in context.

Group of answer choices

We would be accepting that density affects firing temperature, when that was not the case.

We would be accepting that firing temperature affects density, when that was not the case.

We would not be accepting that firing temperature affects density, when that was actually the case.

We would not be accepting that density affects firing temperature, when that was actually the case.

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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