Problem of multiplicity starts from which type of error?
Respuesta
Type I error
Type II error
Type III error
Type IV error
Pregunta 2
Pregunta
Multiplicity is the inflation of _______ over multiple tests
Respuesta
alpha
beta
psi
sigma
Pregunta 3
Pregunta
Multiplicity control procedures are based on which t statistics?
Respuesta
t value
variance estimat (s^2)
v degrees of freedom
MS
standard deviation (sigma)
alpha
Pregunta 4
Pregunta
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]
Respuesta
Fisher LSD test
Bonferroni test
Hayter-Fisher test
False-positive test
Tukey & Tukey-Kramer test
Games-Howell test
Dunnett's test
Pregunta 5
Pregunta
Which is the most conservative multiplicity control adjustment?
Respuesta
Bonferroni adjustment to alpha
Hochberg-Bonferroni adjustment to alpha
Benjamini-Hochberg False Discovery Rate adjustment to alpha
Pregunta 6
Pregunta
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].
Respuesta
less
more
less than all-pairs
all-pairs
Pregunta 7
Pregunta
__________ 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.
Respuesta
Benferroni
Hochberg-Bonferroni
Benjamini-Hochberg False Discovery Rate
Pregunta 8
Pregunta
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]
Respuesta
Bonferonni alpha
ANOVA-modified Two-sample t
P value for each comparison
alpha for each comparison
alpha
a test statistic for each comparison
Hochberg-Bonferonni alpha
FDR alpha
Pregunta 9
Pregunta
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]
Respuesta
a test statistic
ANOVA-modified Two-sample t
P value
alpha
beta
Bonferroni alpha
Hochberg-Bonferroni alpha
FDR alpha
P < Bonferroni alpha
P< FDR alpha
P< Hochberg-Bonferroni alpha
Pregunta 10
Pregunta
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]