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Basic Question 9 of 11

Which statement(s) is (are) true?

I. The sampling error is the difference between a sample statistic and the median of the distribution.
II. If a sample size is sufficiently large, the sampling distribution of the sample means will be approximately normal.

User Contributed Comments 3

User Comment
JakeZ If I dont understand what it means the answer is always NOT true!
cslau83 Why is I not true? this is because only for normal distribution mode = median = mean
leftcoast cslau83 - yes. For it to be true it has to read "the sampling error is the difference between a sample statistic and the mean of the distribution." The original distribution doesn't have to be normal, so mean doesn't have to equal median.
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Edward Liu

Edward Liu

Learning Outcome Statements

explain the central limit theorem and its importance for the distribution and standard error of the sample mean

CFA® 2024 Level I Curriculum, Volume 1, Module 7.