The distinction between a sampling distribution and confidence interval is:
Right Ans - A sampling distribution gives possible values for a sample statistic
when the population parameter is assumed known, while confidence interval
gives possible values for a population parameter when only a single value of a
sample statistic is known.
Which of the following is not true about the standard error of a statistic?
Right Ans - The standard error increases as the samples size increases.
For a randomly selected sample of n = 36 mens heights, it is reported that the
standard error of the mean is .5 inches. Which is false? Right Ans - In about
95% of a ll samples of n = 36 mens heights, the sample mean will be within .5
inches of the population mean.
What is the primary purpose of a 95% confidence interval for a mean?
Right Ans - to estimate a population mean
The confidence level for a confidence interval for a mean is Right Ans - the
probability the procedure provides an interval that covers the population
mean.
Which of the following will not result in paired data? Right Ans - One
random sample is taken, and a variable is recorded for each individual, but
then units are categorized as belonging s to one population or another.
Which of the following statements is most correct about a confidence interval
for a mean? Right Ans - It provides a range of values, any of which is a good
guess at the possible value of the population mean.
When constructing a confidence interval for the differences in two
populations means, it is appropriate to use the pooled standard error only
when Right Ans - the population standard deviations can be assumed to be
equal.
Which one of the following ways of collecting data would result in two
independent samples? Right Ans - A sample of English majors is measured