This document contains 13 true/false questions about statistical concepts such as standard error, sample size, and the central limit theorem. Question 9 and 13 are true - as the sample size increases to 30 or more observations, the sampling distribution of the mean can be approximated by a normal distribution, and the standard deviation of the sample mean is called the standard error of the mean. Questions 8, 10, and 12 are false - the standard error does not increase with sample size, variation does not necessarily increase, and the standard error is not equal to the population standard deviation over the sample size.
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All These Questions are true or false8. As the sample size in.pdf
1. All These Questions are true or false
8. As the sample size increases the standard error of the mean increases.
9. If the population distribution is unknown, in most cases the sampling distribution of the mean
can be approximated by the normal distribution if the samples contain at least 30 observations.
10. As the sample size increases, the variation of the sample mean from the population mean
becomes larger and larger.
11. As the sample size increases, the effect of an extreme value on the sample mean becomes
smaller.
12. The standard error of the mean is equal to the standard deviation in the population,
%u201Cs%u201D, divided by the sample size %u201Cn%u201D.
13. The standard deviation of the sample mean is referred to as the standard error of the mean.
Solution
8.false
9.true
10.false
11.true
12.false
13.true
