Exp Design - Exam 2

1. 1Problem of multiplicity starts from which type of error?

   1. AType I error
   2. BType II error
   3. CType III error
   4. DType IV error
2. 2Multiplicity is the inflation of _______ over multiple tests

   1. Aalpha
   2. Bbeta
   3. Cpsi
   4. Dsigma
3. 3Multiplicity control procedures are based on which t statistics?

   1. At value
   2. Bvariance estimat (s^2)
   3. Cv degrees of freedom
   4. DMS
   5. Estandard deviation (sigma)
   6. Falpha
4. 4Put 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]

   1. AFisher LSD test
   2. BBonferroni test
   3. CHayter-Fisher test
   4. DFalse-positive test
   5. ETukey & Tukey-Kramer test
   6. FGames-Howell test
   7. GDunnett's test
5. 5Which is the most conservative multiplicity control adjustment?

   1. ABonferroni adjustment to alpha
   2. BHochberg-Bonferroni adjustment to alpha
   3. CBenjamini-Hochberg False Discovery Rate adjustment to alpha
6. 6Dunn 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].

   1. Aless
   2. Bmore
   3. Cless than all-pairs
   4. Dall-pairs
7. 7__________ 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.

   1. ABenferroni
   2. BHochberg-Bonferroni
   3. CBenjamini-Hochberg False Discovery Rate
8. 8Steps 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]

   1. ABonferonni alpha
   2. BANOVA-modified Two-sample t
   3. CP value for each comparison
   4. Dalpha for each comparison
   5. Ealpha
   6. Fa test statistic for each comparison
   7. GHochberg-Bonferonni alpha
   8. HFDR alpha
9. 9Steps 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]

   1. Aa test statistic
   2. BANOVA-modified Two-sample t
   3. CP value
   4. Dalpha
   5. Ebeta
   6. FBonferroni alpha
   7. GHochberg-Bonferroni alpha
   8. HFDR alpha
   9. IP < Bonferroni alpha
   10. JP< FDR alpha
   11. KP< Hochberg-Bonferroni alpha
10. 10FISHERS 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]

    1. Aall-pairs comparison
    2. Bcomparison of control group with others
    3. Cmay control familywise error rate
    4. Dalways controls familywise error rate
    5. EANOVA-modified Two-sample t
    6. FWelch t'
    7. Gt>t(table)
    8. Hq>q(table)
    9. It>D(table)

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Quiz on Exp Design - Exam 2, created by Jo O'Bar on 24/10/2022.

Author

Jo O'Bar

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experimentaldesignsciencebiology

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