21.True or False: The difference between the sample mean and the population mean is called the sampling error.
22.True or False: The difference between the sample proportion and the population proportion is called the sampling error.
23.True or False: The difference between the sample size and the population size is called the sampling error.
24.True or False: The confidence interval estimate of the population mean is constructed around the sample mean.
25.A 99% confidence interval estimate can be interpreted to mean that
a)if all possible samples of size n are taken and confidence interval estimates are developed, 99% of them would include the true population mean somewhere within their interval.
b)we have 99% confidence that we have selected a sample whose interval does include the population mean.
c)Both of the above.
d)None of the above.
26.An economist is interested in studying the incomes of consumers in a particular country. The population standard deviation is known to be $1,000. A random sample of 50 individuals resulted in a mean income of $15,000. What is the upper end point in a 99% confidence interval for the average income?
27.An economist is interested in studying the incomes of consumers in a particular country. The population standard deviation is known to be $1,000. A random sample of 50 individuals resulted in a mean income of $15,000. What is the width of the 90% confidence interval?
28.True or False: Given a sample mean of 2.1 and a population standard deviation of 0.7 from a sample of 10 data points, a 90% confidence interval will have a width of 2.36.
29.True or False: A sample size of 5 provides a sample mean of 9.6. If the population variance is known to be 5 and the population distribution is assumed to be normal, the lower limit for a 90% confidence interval is 7.96.
30.The t distribution approaches the standardized normal distribution when the number of degrees of freedom increases.
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