Interested in a PLAGIARISM-FREE paper based on these particular instructions?...with 100% confidentiality?

If a certifying agency raises the requirements for real estate agents, what sort of decision error is the agency protecting against? (Points : 1) Type I Type II Type III Type IV Question 2. 2. What is the advantage of a one-tailed test over a two-tailed test? @Answer found in section 4.3 The One-sample t-Test, in Statistics for Managers (Points : 1) Less data variability in the groups involved. Smaller critical values indicate significance. Rejecting at HO = .05 involves less chance of error. There are fewer calculations to make. Question 3. 3. Which of the following is a provision of the central limit theorem? (Points : 1) A skewed distribution will remain skewed however it is plotted. There are limits to the range of scores that can be fitted to a distribution. A distribution based on sample means will be normal. There will always be theoretical differences between distributions. Question 4. 4. Why do the critical values change with degrees of freedom for the t-tests? @Answer found in section 4.3 The One-sample t-Test, in Statistics for Managers (Points : 1) Different degrees of freedom define different t distributions. Because the critical values are calculated directly from degrees of freedom. The degrees of freedom reflect the value of SEM. The degrees of freedom are indexed to the M – ?M difference. Question 5. 5. The desired sample size depends only the size of the population to be tested. (Points : 1) True False Question 6. 6. What is the alternate hypothesis in a problem where sales group two is predicted to be “. . . significantly less productive than sales group one?” @Answer found in sections 4.3 The One-sample t-Test and 4.4 Hypothesis Testing, in Statistics for Managers (Points : 1) HA: ?1 ? ? 2 HA: ? 1= ? 2 HA: ? 1> ?2 HA: ? 1< ? 2 Question 7. 7. What question does the z test answer? (Points : 1) Is the individual characteristic of the group? Has there been a type I error? Does the sample represent the population? Are the data normal? Question 8. 8. What is the probability of type II error when the null hypothesis is rejected? @Answer found in section 4.3 The One-sample t-Test, in Statistics for Managers (Points : 1) 0.5 0.05 0.025 0 Question 9. 9. The desired sample size depends only the size of the population to be tested. (Points : 1) True False Question 10. 10. According to the central limit theorem, a population which is skewed to begin with will still be skewed when it is re-formed as a distribution of sample means. (Points : 1) True False

If a certifying agency raises the requirements for real estate agents, what sort of decision error is the agency protecting against? (Points : 1)
Type I
Type II
Type III
Type IV
Question 2. 2. What is the advantage of a one-tailed test over a two-tailed test?
@Answer found in section 4.3 The One-sample t-Test, in Statistics for Managers (Points : 1)
Less data variability in the groups involved.
Smaller critical values indicate significance.
Rejecting at HO
= .05 involves less chance of error.
There are fewer calculations to make.
Question 3. 3. Which of the following is a provision of the central limit theorem? (Points : 1)
A skewed distribution will remain skewed however it is plotted.
There are limits to the range of scores that can be fitted to a distribution.
A distribution based on sample means will be normal.
There will always be theoretical differences between distributions.
Question 4. 4. Why do the critical values change with degrees of freedom for the t-tests?
@Answer found in section 4.3 The One-sample t-Test, in Statistics for Managers
(Points : 1)
Different degrees of freedom define different t distributions.
Because the critical values are calculated directly from degrees of freedom.
The degrees of freedom reflect the value of SEM.
The degrees of freedom are indexed to the M – ?M difference.
Question 5. 5. The desired sample size depends only the size of the population to be tested. (Points : 1)
True
False
Question 6. 6. What is the alternate hypothesis in a problem where sales group two is predicted to be “. . . significantly less productive than sales group one?”
@Answer found in sections 4.3 The One-sample t-Test and 4.4 Hypothesis Testing, in Statistics for Managers (Points : 1)
HA: ?1
? ? 2
HA: ? 1= ? 2
HA: ? 1> ?2
HA: ? 1< ? 2
Question 7. 7. What question does the z test answer? (Points : 1)
Is the individual characteristic of the group?
Has there been a type I error?
Does the sample represent the population?
Are the data normal?
Question 8. 8. What is the probability of type II error when the null hypothesis is rejected?
@Answer found in section 4.3 The One-sample t-Test, in Statistics for Managers
(Points : 1)
0.5
0.05
0.025
0

Question 9. 9. The desired sample size depends only the size of the population to be tested. (Points : 1)
True
False
Question 10. 10. According to the central limit theorem, a population which is skewed to begin with will still be skewed when it is re-formed as a distribution of sample means. (Points : 1)
True
False

Interested in a PLAGIARISM-FREE paper based on these particular instructions?...with 100% confidentiality?