Suppose you conduct a 1-way ANOVA, in which you are comparing a continuous measure of immune response between 3 treatment groups (A, B, and C). The overall alpha level is set at 0.05. You ask for all pairwise comparisons, and you find that the unadjusted p-values for these comparisons are as follows: A vs. B: p=0.0333 A vs. C: p=0.1500 B vs. C: p=0.0100 Which of the following statements is true? Question 20 options: No correction for multiple hypothesis testing would be necessary in this situation. After a Bonferroni correction, the difference between groups B and C would remain statistically significant. After a Bonferroni correction, none of the p-values would remain statistically significant. After a Bonferroni correction, the difference between groups A and B and between groups B and C would remain statistically significant. After a Bonferroni correction, all of the p-values would remain statistically significant
Suppose you conduct a 1-way ANOVA, in which you are comparing a continuous measure of immune response between 3 treatment groups (A, B, and C). The overall alpha level is set at 0.05. You ask for all pairwise comparisons, and you find that the unadjusted p-values for these comparisons are as follows:
A vs. B: p=0.0333
A vs. C: p=0.1500
B vs. C: p=0.0100
Which of the following statements is true?
Question 20 options:
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No correction for multiple hypothesis testing would be necessary in this situation. |
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After a Bonferroni correction, the difference between groups B and C would remain statistically significant. |
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After a Bonferroni correction, none of the p-values would remain statistically significant. |
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After a Bonferroni correction, the difference between groups A and B and between groups B and C would remain statistically significant. |
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After a Bonferroni correction, all of the p-values would remain statistically significant. |
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