The variance of the sampling distribution of sample means is equal to the variance of the population mean divided by the square root of the sample size.

• TRUE

• FALSE

When computing the confidence interval for the population proportion, the Student's t-distribution is used rather than the normal distribution.

• TRUE

• FALSE

As the confidence level for a confidence interval increases, the width of the interval also increases.

• TRUE

• FALSE

Suppose that: n=675  and sample proportion = 0.1. Find the UCL of the confidence interval for estimating the population proportion for a 90% confidence interval.

(Round to the nearest 2 decimal points)

• TRUE

• FALSE

• a normal distribution

• a binomial distribution

• a Poisson distribution

• a chi-square distribution

According to the central limit theorem, the sampling distribution of sample means can be approximated by the normal distribution as the number of samples gets large enough.

• TRUE

• FALSE

If the finite population correct factor is 0.6869 and the population size is 100, then the sample size is