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Category > Statistics Posted 30 Aug 2017 My Price 11.00

statistic

Question description

Here is a table describing the UW student body in 2015:

Undergraduate	Graduate & professional student	Non-degree student	Total
29,468	13,829	1,489	44,786

Now assume we sample 1000 UW students with replacement at 2015. Then we compute the proportion of the undergraduate students in our sample. This yields a proportion statistic.

Which of the following regions have the highest probability to contain the proportion statistic?

	0%--60%
B	60%--64%
C	64%--65%
	65%--66%
E	66%--67%
F	67%--68%
G	70%--100%

What is the probability that the proportion statistic is less than 64%?

A	1.2
B	1.5%
C	64%
D	11.5%

Which of the following statement is correct?

A	By the Law of Large Number and the 68-95-99.7 rule, the probability that the proportion statistic falls within the interval formed by its expected value plus minus 2 SE is about 95%.
B	Because this is a proportion statistic rather than an AVG statistic, the Law of Large Number will fail.
C	By the Central Limit Theorem, the proportion statistic converges to 60%.
D	By the Central Limit Theorem, the proportion statistic has a distribution that is roughly Normal with mean around 65.8%.

The distribution of this proportion statistic

A	has mean 0 and SD 1 by the Central Limit Theorem.
B	has infinite range by the Central Limit Theorem.
C	is roughly Normal by the Central Limit Theorem.
D	none of the above is correct.

Answers

QuickHelper

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Status NEW Posted 30 Aug 2017 06:08 PM My Price 11.00

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