Complete the mcq:
Review the "Sampling Distribution of the Mean" within a Multimedia Presentation.
Q1. The mean of the sampling distribution is equal to
a. the population standard deviation
b. the sample mean
c. the sample standard deviation
d. the population mean
e. none of the above
Q2. The standard error of the sampling distribution when we know the population standard deviation is equal to
a. σM = σ/√n
b. SM = σ/√n
c. SM = S/√n
d. σM = S/√n
e. none of the above
Q3. The standard error of the sampling distribution when we do not know the population standard deviation is equal to
a. σM = σ/√n
b. SM = σ/√n
c. SM = S/√n
d. σM = S/√n
e. none of the above
Q4. When the population standard deviation is known the sampling distribution is a
a. binomial distribution
b. normal distribution
c. Poisson distribution
d. t- distribution
e. none of the above
Q5. When the population standard deviation is not known, the sampling distribution is a
a. binomial distribution
b. normal distribution
c. Poisson distribution
d. t- distribution
e. none of the above
Q6. If the size of the sample is increased the standard error
a. will increase
b. will remain the same
c. cannot be determined
d. will decrease
e. none of the above
Q7. Independent samples are
a. values from one sample that are not related or matched with the second sample
b. values from one sample that are related or matched with the second sample
c. values that is independent from any dependent variables
d. values that is not independent from any dependent variables
e. none of the above
Q8. Dependent samples are
a. values from one sample that are not related or matched with the second sample
b. values from one sample that are related or matched with the second sample
c. values that is independent from any dependent variables
d. values that is not independent from any dependent variables
e. none of the above
Q9. The usual sampling distribution of the differences between means is a
a. normal distribution
b. t-distribution
c. two normal distributions
d. two t-distributions
e. none of the above
Q10. Two samples are dependent if the members of one sample
a. can be used to determine the members of the other sample
b. cannot be used to determine the members of the other sample
c. are not matched with the members with the member of the other sample
d. are selected from the sample population as the other sample
e. none of the above
Q11. For the following data, calculate the sampling distribution parameters.
µ = 80, ? = 10, s = 8, n = 25
Q12. For the following data, calculate the sampling distribution parameters.
µ = 120, ? = unknown, s = 18, n = 36
Q13. For the following data, calculate the difference between the means distribution parameters.
n1 = 25, n2 = 36, s12 = 50, s22 = 72, M1 = 100, M2 = 105