BUS 308 Week 2 Quizanswers
1.
Question :
The one-sample t-test differs from the z-test in which way?
@Answer found in section 4.3 The One-sample t-Test, in Statistics for Managers
Student Answer:
There are no parameter values involved in a t-test.
The t-test is more sensitive to minor differences between sample and population.
With the t-test one can be confident of the normality of the data.
The t-test requires no <known> parameter standard error of the mean.
Points Received:
0 of 1 Comments:
Question 2.
Question :
If a certifying agency raises the requirements for real estate agents, what sort of decision error is the agency protecting against?
Student Answer:
Type I
Type II
Type III
Type IV Instructor Explanation:
Answer found in section 3.4 Statistical Significance, in Statistics for Managers
Points Received:
0 of 1 Comments:
Question 3.
Question :
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
Student Answer:
HA: μ1
≠ μ 2
HA: μ 1= μ 2
HA: μ 1> μ2
HA: μ 1< μ 2
Points Received:
0 of 1 Comments:
Question 4.
Question :
Which of the following defines statistical significance?
Student Answer:
The outcome is unlikely to have occurred by chance.
The outcome is important.
The outcome is unusual.
The outcome is one that can be explained by normal circumstances. Instructor Explanation:
Answer found in section 3.3 The z-test, in Statistics for Managers
Points Received:
1 of 1 Comments:
Question 5.
Question :
The standard error of the mean can be calculated by dividing μ by the square root of the number of values in the distribution.
Student Answer:
True
False Instructor Explanation:
Answer found in section 3.2 The Distribution of Sample
Question :
The one-sample t-test differs from the z-test in which way?
@Answer found in section 4.3 The One-sample t-Test, in Statistics for Managers
Student Answer:
There are no parameter values involved in a t-test.
The t-test is more sensitive to minor differences between sample and population.
With the t-test one can be confident of the normality of the data.
The t-test requires no <known> parameter standard error of the mean.
Points Received:
0 of 1 Comments:
Question 2.
Question :
If a certifying agency raises the requirements for real estate agents, what sort of decision error is the agency protecting against?
Student Answer:
Type I
Type II
Type III
Type IV Instructor Explanation:
Answer found in section 3.4 Statistical Significance, in Statistics for Managers
Points Received:
0 of 1 Comments:
Question 3.
Question :
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
Student Answer:
HA: μ1
≠ μ 2
HA: μ 1= μ 2
HA: μ 1> μ2
HA: μ 1< μ 2
Points Received:
0 of 1 Comments:
Question 4.
Question :
Which of the following defines statistical significance?
Student Answer:
The outcome is unlikely to have occurred by chance.
The outcome is important.
The outcome is unusual.
The outcome is one that can be explained by normal circumstances. Instructor Explanation:
Answer found in section 3.3 The z-test, in Statistics for Managers
Points Received:
1 of 1 Comments:
Question 5.
Question :
The standard error of the mean can be calculated by dividing μ by the square root of the number of values in the distribution.
Student Answer:
True
False Instructor Explanation:
Answer found in section 3.2 The Distribution of Sample