Exp Design - Exam 2

Descripción

Test sobre Exp Design - Exam 2, creado por Jo O'Bar el 24/10/2022.
Jo O'Bar
Test por Jo O'Bar, actualizado hace más de 1 año
Jo O'Bar
Creado por Jo O'Bar hace casi 2 años
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Resumen del Recurso

Pregunta 1

Pregunta
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]
Respuesta
  • all-pairs comparison
  • comparison of control group with others
  • may control familywise error rate
  • always controls familywise error rate
  • ANOVA-modified Two-sample t
  • Welch t'
  • t>t(table)
  • q>q(table)
  • t>D(table)
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