Zusammenfassung der Ressource
Frage 1
Frage
Problem of multiplicity starts from which type of error?
Antworten
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Type I error
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Type II error
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Type III error
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Type IV error
Frage 2
Frage
Multiplicity is the inflation of _______ over multiple tests
Frage 3
Frage
Multiplicity control procedures are based on which t statistics?
Frage 4
Frage
Put the Multiple Comparison Tests in order from least to most conservative
[blank_start]Fisher LSD test[blank_end]
[blank_start]Hayter-Fisher test[blank_end]
[blank_start]Tukey & Tukey-Kramer test[blank_end]
[blank_start]Games-Howell test[blank_end]
[blank_start]Dunnett's test[blank_end]
Frage 5
Frage
Which is the most conservative multiplicity control adjustment?
Antworten
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Bonferroni adjustment to alpha
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Hochberg-Bonferroni adjustment to alpha
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Benjamini-Hochberg False Discovery Rate adjustment to alpha
Frage 6
Frage
Dunn test with Bonferroni adjustment to alpha is [blank_start]less[blank_end] powerful with all-pairs comparison, and is reccommended to only be used for [blank_start]less than all-pairs[blank_end].
Antworten
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less
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more
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less than all-pairs
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all-pairs
Frage 7
Frage
__________ is the most universal and most conservative multiplicity control adjustment. If a difference is found with this adjustment, a difference will be found with any adjustment.
Frage 8
Frage
Steps for Dunn test with Bonferroni adjustment:
1. calculate [blank_start]ANOVA-modified Two-sample t[blank_end]
2. calculate [blank_start]P value for each comparison[blank_end]
3. reject null hypothesis if P<[blank_start]Bonferonni alpha[blank_end]
Antworten
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Bonferonni alpha
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ANOVA-modified Two-sample t
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P value for each comparison
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alpha for each comparison
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alpha
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a test statistic for each comparison
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Hochberg-Bonferonni alpha
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FDR alpha
Frage 9
Frage
Steps for Bonferonni adjustment to alpha
1. calculate [blank_start]a test statistic[blank_end] for each comparison
2. calculate [blank_start]P value[blank_end] for each comparison
3. calculate [blank_start]Bonferroni alph a[blank_end] for total number of comparisons
4. reject the nul if [blank_start]P < Bonferroni alpha[blank_end]
Antworten
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a test statistic
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ANOVA-modified Two-sample t
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P value
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alpha
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beta
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Bonferroni alpha
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Hochberg-Bonferroni alpha
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FDR alpha
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P < Bonferroni alpha
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P< FDR alpha
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P< Hochberg-Bonferroni alpha
Frage 10
Frage
FISHERS LSD TEST
--used for [blank_start]all-pairs comparison[blank_end], [blank_start]may control familywise error rate[blank_end]
Procedure:
1. calculate [blank_start]ANOVA-modified Two-sample t[blank_end]
2. reject null hypothesis if [blank_start]t>t(table)[blank_end]
Antworten
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all-pairs comparison
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comparison of control group with others
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may control familywise error rate
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always controls familywise error rate
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ANOVA-modified Two-sample t
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Welch t'
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t>t(table)
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q>q(table)
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t>D(table)