InteliBoard Assessment
View the "Sampling Distribution of the Mean" within a Multimedia Presentation.
InteliBoard Assessment
1. 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
2. The standard error of the sampling distribution when we know the population standard deviation is equal to
a. ?M = ?/?n
b. SM = ?/?n
c. SM = S/?n
d. ?M = S/?n
e. none of the above
3. The standard error of the sampling distribution when we do not know the population standard deviation is equal to
a. ?M = ?/?n
b. SM = ?/?n
c. SM = S/?n
d. ?M = S/?n
e. none of the above
4. 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
5. 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
6. 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
7. 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
8. 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
9. 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
10. 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
11. For the following data, calculate the sampling distribution parameters.
µ = 80, ? = 10, s = 8, n = 25
12. For the following data, calculate the sampling distribution parameters.
µ = 120, ? = unknown, s = 18, n = 36
13. For the following data, calculate the difference between the means distribution parameters.
n1 = 25, n2 = 36, s12 = 50, s22 = 72, M1 = 100, M2 = 105
This question has the following supporting file(s):
- HLT362V. INTELIBOARD ASSESSMENT.xls
File Viewer (Click To Zoom)
Solution Summary
The solution provides step by step method for the calculation of sampling distribution parameters and answers to multiple choice questions. Formula for the calculation is also included.
$2.19 
This answer includes:
- Plain text
- Cited sources when necessary
- Attached file(s)
- INTELIBOARD ASSESSMENT.xlsx
- INTELIBOARD ASSESSMENT.doc
Active since 2008
Responses 2616
Extracted Content from Question Files:
- HLT362V. INTELIBOARD ASSESSMENT.xls
:
InteliBoard Assessment
Q1
Q2
Q3
Q4
Q5
Q6
Q7
Q8
Q9
Q10
Q11
E[M]
SE[M]
Q12
E[M]
SE[M]
Q13
SE[M]
"Thank you for the help. Can you show me how you got Critical values = ±2.575829304? I'm having a hard time finding how to get this. Thanks!"
"Thanks great help"
"Hi thanks for the excel format explanation, it makes it easy for me to understand."
"how exactly do you get = 0.1655 + 0.1146 + … + 0.0001 = P (X ≥ 12) = P (X = 12) + P (X = 13) + … + P (X = 18) = 0.1655 + 0.1146 + … + 0.0001 = 0.3743"
"Thanks for the great explanation and the excel fine."