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Basic Question 9 of 11
Which statement(s) is (are) true?
II. If a sample size is sufficiently large, the sampling distribution of the sample means will be approximately normal.
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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Learning Outcome Statements
explain the central limit theorem and its importance for the distribution and standard error of the sample mean
CFA® 2025 Level I Curriculum, Volume 1, Module 7.