zella21
May 14, 2011, 03:09 PM
Suppose the proportion of elements of a population that possess a certain characteristic is .60. Assuming that n/N is less than or equal to .05, the probability that the sample proportion for a sample of 100 elements drawn from this population is between .62 and .67 is approximately:
For a continuous random variable x, the population mean and the population standard deviation are 100 and 20 respectively. Assuming n/N is less than or equal to .05, the standard deviation of the sampling distribution of the sample mean for a sample of 16 elements taken from this population is
A sample of 1000 families selected from a large city showed that 18% of them make $100,000 or more per year. The 99% confidence interval for the proportion of all families living in this city who make $100,000 or more per year is
In a 1997 poll of 236 male, married, upper-level managers conducted by Joy Schneer and Frieda Reitman for Fortune magazine, 28% of the men stated that their wives worked either full-time or part-time (Fortune, March 17, 1997). What are the boundaries for a 99% confidence interval for p, the proportion of all male, married, upper-level managers whose wives work?
In a sample of 500 items produced by a machine, the quality control staff found 7% to be defective. The 95% confidence interval for the proportion of defective items in all items produced by this machine is
A random sample of 16 life insurance policy holders showed that the mean value of their life insurance policies is $200,000 with a standard deviation of $50,000. Assume that the values of life insurance policies for all such policy holders have an approximate normal distribution. The 99% confidence interval for the mean value of all life insurance policies is
For a continuous random variable x, the population mean and the population standard deviation are 80 and 15 respectively. You extract a sample of 25 elements from this population. The mean of the sampling distribution of the sample mean is
For a continuous random variable x, the population mean and the population standard deviation are 54 and 12 respectively. You extract a sample of 36 elements from this population. The mean of the sampling distribution of the sample mean is:
What is the area in the left tail of the chi-square distribution for a value of 27.4884 and 15 degrees of freedom?
In a test of hypothesis, the null hypothesis is that the population mean is equal to 140 and the alternative hypothesis is that the population mean is less than 140. A sample of 100 elements selected from this population produced a mean of 134 and a standard deviation of 27.5. What is the approximate p-value for this test?
The manager of a fund that provides loans for college students has estimated that the average monthly loan repayment for students borrowing from the fund is $75.00. You are to test this estimate. You take a sample of 20 students and find that the mean monthly payment is $69.46 with a standard deviation of $9.78. Which of the following statements is true about this test?
A sample of 14 elements selected from a population produced a mean of 57 and a standard deviation of 7. Another sample of 20 elements selected from another population produced a mean of 52 and a standard deviation of 10. Assume that the two populations are normally distributed and the standard deviations of the two populations are not equal. What is the 90% confidence interval for the difference between the two population means?
A sample of 12 elements selected from a population produced a mean of 84 and a standard deviation of 16. Another sample of 15 elements selected from another population produced a mean of 72 and a standard deviation of 14. Assume that the two populations are normally distributed and the standard deviations of the two populations are not equal. What is the 99% confidence interval for the difference between the two population means?
A sample of 16 elements selected from a population produced a mean of 26 and a standard deviation of 4. Another sample of 18 elements selected from another population produced a mean of 36 and a standard deviation of 3. Assume that the two populations are normally distributed and the standard deviations of the two populations are not equal. What is the 95% confidence interval for the difference between the two population means?
A sample of 500 school teachers, who are married, showed that 42% of them hold a second job to supplement their incomes. Another sample of 400 school teachers, who are single, showed that 35% of them hold a second job to supplement their incomes. What is the 95% confidence interval for the difference between the proportions of married and single school teachers who hold a second job to supplement their incomes?
According to a Louis Harris survey, 53% of female drivers and 43% of male drivers never speed. Suppose these results stem from samples of 1000 female drivers and 1200 male drivers, respectively. What is the 99% confidence interval for the difference between the proportions of all female and all male drivers who never speed?
In a sample of 800 male job-holders, 69% said that they are satisfied with their jobs. In another sample of 900 female job-holders, 61% said that they are satisfied with their jobs. The 97% confidence interval for the difference between the proportions of all male and all female job-holders who will say that they are satisfied with their jobs is:
Each employee of a large company is encouraged to contribute, through payroll deduction, to an international charity. Annual contributions per employee follow (approximately) a normal distribution. You take a sample of 25 employees and find that the sample mean annual contribution per employee is $502 with a standard deviation of $18. What are the boundaries for a 99% confidence interval for the population mean?
if you look at them they are all different and there is no more information to give you
For a continuous random variable x, the population mean and the population standard deviation are 100 and 20 respectively. Assuming n/N is less than or equal to .05, the standard deviation of the sampling distribution of the sample mean for a sample of 16 elements taken from this population is
A sample of 1000 families selected from a large city showed that 18% of them make $100,000 or more per year. The 99% confidence interval for the proportion of all families living in this city who make $100,000 or more per year is
In a 1997 poll of 236 male, married, upper-level managers conducted by Joy Schneer and Frieda Reitman for Fortune magazine, 28% of the men stated that their wives worked either full-time or part-time (Fortune, March 17, 1997). What are the boundaries for a 99% confidence interval for p, the proportion of all male, married, upper-level managers whose wives work?
In a sample of 500 items produced by a machine, the quality control staff found 7% to be defective. The 95% confidence interval for the proportion of defective items in all items produced by this machine is
A random sample of 16 life insurance policy holders showed that the mean value of their life insurance policies is $200,000 with a standard deviation of $50,000. Assume that the values of life insurance policies for all such policy holders have an approximate normal distribution. The 99% confidence interval for the mean value of all life insurance policies is
For a continuous random variable x, the population mean and the population standard deviation are 80 and 15 respectively. You extract a sample of 25 elements from this population. The mean of the sampling distribution of the sample mean is
For a continuous random variable x, the population mean and the population standard deviation are 54 and 12 respectively. You extract a sample of 36 elements from this population. The mean of the sampling distribution of the sample mean is:
What is the area in the left tail of the chi-square distribution for a value of 27.4884 and 15 degrees of freedom?
In a test of hypothesis, the null hypothesis is that the population mean is equal to 140 and the alternative hypothesis is that the population mean is less than 140. A sample of 100 elements selected from this population produced a mean of 134 and a standard deviation of 27.5. What is the approximate p-value for this test?
The manager of a fund that provides loans for college students has estimated that the average monthly loan repayment for students borrowing from the fund is $75.00. You are to test this estimate. You take a sample of 20 students and find that the mean monthly payment is $69.46 with a standard deviation of $9.78. Which of the following statements is true about this test?
A sample of 14 elements selected from a population produced a mean of 57 and a standard deviation of 7. Another sample of 20 elements selected from another population produced a mean of 52 and a standard deviation of 10. Assume that the two populations are normally distributed and the standard deviations of the two populations are not equal. What is the 90% confidence interval for the difference between the two population means?
A sample of 12 elements selected from a population produced a mean of 84 and a standard deviation of 16. Another sample of 15 elements selected from another population produced a mean of 72 and a standard deviation of 14. Assume that the two populations are normally distributed and the standard deviations of the two populations are not equal. What is the 99% confidence interval for the difference between the two population means?
A sample of 16 elements selected from a population produced a mean of 26 and a standard deviation of 4. Another sample of 18 elements selected from another population produced a mean of 36 and a standard deviation of 3. Assume that the two populations are normally distributed and the standard deviations of the two populations are not equal. What is the 95% confidence interval for the difference between the two population means?
A sample of 500 school teachers, who are married, showed that 42% of them hold a second job to supplement their incomes. Another sample of 400 school teachers, who are single, showed that 35% of them hold a second job to supplement their incomes. What is the 95% confidence interval for the difference between the proportions of married and single school teachers who hold a second job to supplement their incomes?
According to a Louis Harris survey, 53% of female drivers and 43% of male drivers never speed. Suppose these results stem from samples of 1000 female drivers and 1200 male drivers, respectively. What is the 99% confidence interval for the difference between the proportions of all female and all male drivers who never speed?
In a sample of 800 male job-holders, 69% said that they are satisfied with their jobs. In another sample of 900 female job-holders, 61% said that they are satisfied with their jobs. The 97% confidence interval for the difference between the proportions of all male and all female job-holders who will say that they are satisfied with their jobs is:
Each employee of a large company is encouraged to contribute, through payroll deduction, to an international charity. Annual contributions per employee follow (approximately) a normal distribution. You take a sample of 25 employees and find that the sample mean annual contribution per employee is $502 with a standard deviation of $18. What are the boundaries for a 99% confidence interval for the population mean?
if you look at them they are all different and there is no more information to give you