Question

a. Suppose that the measure of interest has a relatively low level of variability in the population. One consequence would be:

I. a relatively high sample size.

ii. a relatively low sample size.

iii. a relatively expensive sampling process.

c. The confidence level in a confidence interval corresponds to:

I. the probability that the interval does not include the sample value

ii. the probability that the interval includes the true population value

iii. the probability that the interval does not include the true population value

iv. the probability that the interval includes the sample value

iv. a relatively high sampling error.

b. The relationship between three categorical variables can be studied using:

I. using product-moment correlation coefficients

ii. comparing three one-way tables, one for each variable

iii. comparing the averages for the three variables

iv. cross tabulation

Answer 1

Solution :

1)

A small sample size also affects the reliability of a survey's results because it leads to a higher variability, which may lead to bias.So if there is low level of variability,means the sample size is high.

As sample size increases, the range decreases, which means variability decreases also leads to low sampling error.

Option 1 is correct -  a relatively high sample size.

2)

The confidence level in confidence interval is corresponding to the probability that the interval includes the true population value.

Option 2 is correct. - the probability that the interval includes the true population value.

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