Differentiate between replication and repetition measurement in experimental design. (b)

A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Differentiate between replication and repetition measurement in experimental
design.
(b)
"Violation of the basic assumptions for analysis of variance and model adequacy can
be easily investigated by the examination of residuals". Explain the examination of
residuals in this statement.
(c)
Three different brands of batteries are studied to identify the batteries lives (in
weeks). Five batteries of each brand are tested with the following results in Figure
Q1(d). Use Tukey's and Fisher Least Significant Difference (LSD) test to make
comparison between means treatment. Interpret the results. Use a = 0.05.
(d)
One-way ANOVA: Life versus Brand
Method
Null hypothesis
Alternative hypothesis At least one mean is different
Significance level
All means are equal
a - 0.05
Equal variances were assumed for the analysis.
Factor Information
Factor Levels Values
Brand
3 1, 2, 3
Analysis of Variance
Source DF Adj ss Adj MS F-Value P-Value
2 1196.1 598.07
12 187.2 15.60
14 1383.3
Brand
38.34
0.000
Error
Total
Model Summary
R-sq R-sq(adj) R-sq (pred)
84.21%
3.94968
86.478
78.86%
Means
95 CI
3.35 (91.35, 99.05)
3.85 (75.55, 83.25)
(96.55, 104.25)
Brand N
Mean
StDev
5 95.20
5 79.40
5 100.40
4.56
Pooled StDev 3.94968
Figure Q1(d)
M123
Transcribed Image Text:Differentiate between replication and repetition measurement in experimental design. (b) "Violation of the basic assumptions for analysis of variance and model adequacy can be easily investigated by the examination of residuals". Explain the examination of residuals in this statement. (c) Three different brands of batteries are studied to identify the batteries lives (in weeks). Five batteries of each brand are tested with the following results in Figure Q1(d). Use Tukey's and Fisher Least Significant Difference (LSD) test to make comparison between means treatment. Interpret the results. Use a = 0.05. (d) One-way ANOVA: Life versus Brand Method Null hypothesis Alternative hypothesis At least one mean is different Significance level All means are equal a - 0.05 Equal variances were assumed for the analysis. Factor Information Factor Levels Values Brand 3 1, 2, 3 Analysis of Variance Source DF Adj ss Adj MS F-Value P-Value 2 1196.1 598.07 12 187.2 15.60 14 1383.3 Brand 38.34 0.000 Error Total Model Summary R-sq R-sq(adj) R-sq (pred) 84.21% 3.94968 86.478 78.86% Means 95 CI 3.35 (91.35, 99.05) 3.85 (75.55, 83.25) (96.55, 104.25) Brand N Mean StDev 5 95.20 5 79.40 5 100.40 4.56 Pooled StDev 3.94968 Figure Q1(d) M123
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