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Question 1 1 pts One of the issues some managers have with statistics is that the results of a statistical test can differ with different samples,...
Question 1
1 pts
One of the issues some managers have with statistics is that the results of a statistical test can differ with different samples, and the importance of an outcome is hard to assess.
True
False
Question 2
1 pts
Practical significance of a null hypothesis rejection is important because
Any null hypothesis rejection should be factored into all related decisions
Not all null hypothesis rejections will impact real world outcomes in a meaningful way
A large enough sample size can cause most all null hypothesis claims to be rejected.
B and C
A and B
Question 3
1 pts
Which of the following terms are included in a 95% confidence interval for the difference between two means found from a sample of 25 for each sample?
The mean
T value for a df of 48, at two tail .05
The standard error of the mean
All of these are used
Only a and b
Question 4
1 pts
Which of the following terms are included in a 95% confidence interval for a mean found from a sample of 25?
The mean
T value for a df of 24, at two tail .05
The standard error of the mean
All of these are used
Only a and b
Question 5
1 pts
Confidence intervals are centered around a
Sample mean
Population mean
Either
Any desired sample statistic
Question 6
1 pts
Confidence intervals should only be constructed when
The null hypothesis is rejected a difference is indicated
Before any hypothesis test is performed
The null hypothesis is not rejected and no difference is indicated
Anytime the confidence interval outcome is desired
Question 7
1 pts
A "large" effect measure result suggests
The sample size is more responsible for the null hypothesis rejection
The sample size is more responsible for not rejecting the null hypothesis
The variable interaction is more responsible for the null hypothesis rejection
The variable interaction is more responsible for not rejecting the null hypothesis
Question 8
1 pts
The effect size measure for ANOVA is
Eta squared
Cohen's D
|r|
All of these are appropriate
Question 9
1 pts
Two 95% mean confidence intervals indicate a difference between means at the alpha = .05 level when
The endpoints do not touch
The endpoints just barely overlap
The endpoints overlap by about 25% of their range
We cannot use single mean confidence intervals to determine differences.
Question 10
1 pts
Two 95% mean confidence intervals indicate a difference between means at less than the alpha = .01 level when
The endpoints do not touch
The endpoints just barely overlap
The endpoints overlap by about 25% of their range
We cannot use single mean confidence intervals to determine differences.