Posted by Sue on Thursday, February 5, 2009 at 10:44pm.
1. True. Parameters are data from the total population, while statistics are data from samples.
2. True. A sampling distribution is the probability distribution, under repeated sampling of the population, of a given statistic (a numerical quantity calculated from the data values in a sample). The formula for the sampling distribution depends on the distribution of the population, the statistic being considered, and the sample size used. A more precise formulation would speak of the distribution of the statistic as that for all possible samples of a given size, not just "under repeated sampling". (From <http://en.wikipedia.org/wiki/Sampling_distribution>)
3. False. It is an estimate.
In the future, you can find the information you desire more quickly, if you use appropriate key words to do your own search. Also see http://hanlib.sou.edu/searchtools/.
I hope this helps. Thanks for asking.
I'll give you a few hints:
One is true; two are false.
The two false statements are false because of one word in each statement.
Identify the population and the sample:
A survey of 1200 credit card found that the average late fee is $24.3?
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