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QUESTION 15 Determine how many standard deviations (z) the sample proportion wit

ID: 3263544 • Letter: Q

Question

QUESTION 15

Determine how many standard deviations (z) the sample proportion with (106) exhibiting the attribute/characteristic of interest from a sample of 384 is from the population proportion (0.62) for a very large population. Enter your response as the absolute (positive) value, to two decimals (i.e. 0.12).

QUESTION 16

Choose the following that best describes the properties of two point estimators if the expected value of the first is equal and the value of the second is not equal to the population parameter.

The first is biased and the second is unbiased.

The first is unbiased and the second is biased.

Both are unbiased.

none of these

Both are biased.

QUESTION 17

Choose the following that best describes a sampling procedure where five retail outlets are randomly chosen from those owned by a world-wide corporation and employees at each of the five outlets are interviewed.

simple random

systematic

judgement

cluster

convenience

QUESTION 18

Choose the following that best describes a sampling procedure where locations are chosen by an expert who indicates these locations are likely to be the best predictors of the variables of interest and individuals to be observed are randomly chosen using Excel's "RANDBETWEEN" function from all individuals in the population of interest at each location.

judgement and simple random

judgement and systematic

cluster and convenience

stratified and convenience

judgement and cluster

none of these

cluster and systematic

cluster and convenience

QUESTION 19

For a population of values where the distribution is skewed to the right, according to the Central Limit Theorem, the sample means from samples of the same size (where n is greater than or equal to 30) will be:

normally distributed

skewed to the left

skewed to the right

uniformly distributed

none of these

QUESTION 20

The impact on sampling of decreasing the sample size is:

the amount of sampling error will decrease.

there is no specific relationship between sample size and sampling error.

the sample mean will be farther from the population mean.

none of these

the potential for extreme sampling error is increased.

1.

The first is biased and the second is unbiased.

2.

The first is unbiased and the second is biased.

3.

Both are unbiased.

4.

none of these

5.

Both are biased.

Explanation / Answer

Question 16: Correct Answer: 2. The first is unbiased and the second is biased.

Question 17: Correct Answer: 1 simple random

Question 18: Correct Answer: 1 Judgement and simple random

Question 19: Correct Answer: 1 Normal distribution

Question 20: Correct Answer: 5 the potential for extreme sampling error is increased.

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