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Basic Question 7 of 7

The meaning of "testing the hypothesis μ <= 6 versus μ > 6 at a 5% significance level" is ______

A. if the population mean μ is > 6, the probability of deciding wrongly is at least 95%.
B. if the population mean μ is <= 6, the probability of deciding wrongly is at most 5%.
C. if the population mean μ is > 6, the probability of deciding wrongly is at most 5%.

User Contributed Comments 5

User Comment
dcfa Type I Error=level of significance=probability of rejecting null hypothesis when it is true
bidisha H0= u>6 , h1 = u<= 6
Seancfa1 Bidisha...?
enetis u<=6 at 5% significance implies that prob u>6 is 95%
dbedford We are basically saying "If we accept the research hypothesis that the population average is less than or equal to 6, then there is a 5% chance we'll be wrong
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Martin Rockenfeldt

Martin Rockenfeldt

Learning Outcome Statements

explain hypothesis testing and its components, including statistical significance, Type I and Type II errors, and the power of a test

CFA® 2024 Level I Curriculum, Volume 1, Module 8.