Use intuition to match the appropriate correction with applications. Every option is only used in one scenario. 1. When generating hypotheses, how should we process p-values? No correction, report the original p-values, but report number of tests performed. FDR <10% FWER < 5% 2. For food and drug administration, where efficacy standards are strict, how should we process p-values? No correction, report the original p-values, but report number of tests performed. FDR <10% FWER < 5% 3. When doing exploratory analysis or screening, where test many hypotheses as part of one large scale study, how should we process p-values? No correction, report the original p-values, but report number of tests performed. FDR <10% FWER < 5%

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
1st Edition
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter11: Data Analysis And Displays
Section: Chapter Questions
Problem 1CA
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Q1
Use intuition to match the appropriate correction with applications. Every option is only used in one scenario.
1. When generating hypotheses, how should we process p-values?
No correction, report the original p-values, but report number of tests performed.
FDR ≤ 10%
FWER < 5%
2. For food and drug administration, where efficacy standards are strict, how should we process p-values?
No correction, report the original p-values, but report number of tests performed.
FDR <10%
FWER < 5%
3. When doing exploratory analysis or screening, where test many hypotheses as part of one large scale study, how should
we process p-values?
No correction, report the original p-values, but report number of tests performed.
FDR ≤ 10%
FWER < 5%
Transcribed Image Text:Use intuition to match the appropriate correction with applications. Every option is only used in one scenario. 1. When generating hypotheses, how should we process p-values? No correction, report the original p-values, but report number of tests performed. FDR ≤ 10% FWER < 5% 2. For food and drug administration, where efficacy standards are strict, how should we process p-values? No correction, report the original p-values, but report number of tests performed. FDR <10% FWER < 5% 3. When doing exploratory analysis or screening, where test many hypotheses as part of one large scale study, how should we process p-values? No correction, report the original p-values, but report number of tests performed. FDR ≤ 10% FWER < 5%
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