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Basic Question 11 of 30
Which of the following is (are) NOT true of simple random sampling?
II. Characteristics of a random sample may differ widely from characteristics of the population from which it is drawn.
III. A sample must be reasonably large to be considered a random sample.
IV. Every element in the population must be given an equal chance for inclusion in the sample.
I. Whether or not a sample is random cannot be told from inspection of the sample.
II. Characteristics of a random sample may differ widely from characteristics of the population from which it is drawn.
III. A sample must be reasonably large to be considered a random sample.
IV. Every element in the population must be given an equal chance for inclusion in the sample.
User Contributed Comments 4
| User | Comment |
|---|---|
| surob | I thought the size of the sample matters from the randomness standpoint. Any thoughts? |
| tabulator | Randomness and size are not related. Randomness is the way you choose from the sample of any size. |
| bahodir | It is wrong because the statement should be "A sample must be reasonably large to be considered an unbiased sample" |
| Gooner7 | unbiased..thanks bahodir! |
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Learning Outcome Statements
compare and contrast simple random, stratified random, cluster, convenience, and judgmental sampling and their implications for sampling error in an investment problem
CFA® 2024 Level I Curriculum, Volume 1, Module 7.