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

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Jo O'Bar
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Exp Design - Exam 2

Question 1 of 10

1

Problem of multiplicity starts from which type of error?

Select one of the following:

  • Type I error

  • Type II error

  • Type III error

  • Type IV error

Explanation

Question 2 of 10

1

Multiplicity is the inflation of _______ over multiple tests

Select one of the following:

  • alpha

  • beta

  • psi

  • sigma

Explanation

Question 3 of 10

1

Multiplicity control procedures are based on which t statistics?

Select one or more of the following:

  • t value

  • variance estimat (s^2)

  • v degrees of freedom

  • MS

  • standard deviation (sigma)

  • alpha

Explanation

Question 4 of 10

1

Put the Multiple Comparison Tests in order from least to most conservative





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    Fisher LSD test
    Bonferroni test
    Hayter-Fisher test
    False-positive test
    Tukey & Tukey-Kramer test
    Games-Howell test
    Dunnett's test

Explanation

Question 5 of 10

1

Which is the most conservative multiplicity control adjustment?

Select one of the following:

  • Bonferroni adjustment to alpha

  • Hochberg-Bonferroni adjustment to alpha

  • Benjamini-Hochberg False Discovery Rate adjustment to alpha

Explanation

Question 6 of 10

1

Select from the dropdown lists to complete the text.

Dunn test with Bonferroni adjustment to alpha is ( less, more ) powerful with all-pairs comparison, and is reccommended to only be used for ( less than all-pairs, all-pairs ).

Explanation

Question 7 of 10

1

__________ 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.

Select one of the following:

  • Benferroni

  • Hochberg-Bonferroni

  • Benjamini-Hochberg False Discovery Rate

Explanation

Question 8 of 10

1

Steps for Dunn test with Bonferroni adjustment:

1. calculate
2. calculate
3. reject null hypothesis if P<

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    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

Explanation

Question 9 of 10

1

Steps for Bonferonni adjustment to alpha

1. calculate for each comparison
2. calculate for each comparison
3. calculate for total number of comparisons
4. reject the nul if

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    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

Explanation

Question 10 of 10

1

Select from the dropdown lists to complete the text.

FISHERS LSD TEST
--used for ( all-pairs comparison, comparison of control group with others ), ( may control familywise error rate, always controls familywise error rate )
Procedure:
1. calculate ( ANOVA-modified Two-sample t, Welch t' )
2. reject null hypothesis if ( t>t(table), q>q(table), t>D(table) )

Explanation