1. 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. The standard error of the mean can be calculated by dividing μ by the square root of the number of values in the distribution. (Points : 1)
True
False
Question 3.3. Large differences in the numerator of a statistical test for differences for means are the only critical factor in determining statistical significance. (Points : 1)
True
False
Question 4.4. The z- test requires an estimate of the population standard deviation. (Points : 1)
True
False
Question 5.5. 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 (Points : 1)
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 parameter standard error of the mean.
Question 6.6. What statistic measures data variability in both groups in an independent t-test?
@Answer found in section 4.5 The Independent Samples t-Test, in Statistics for Managers (Points : 1)
The critical value of t.
The M1
– M2 difference.
The calculated value of t.
The SEd
Question 7.7. Which of the following defines statistical significance? (Points : 1)
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.
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 independent t-test is based on which distribution?
@Answer found in section 4.5 The Independent Samples t-Test, in Statistics for Managers (Points : 1)
The distribution of difference scores.
The distribution of sample means.
The distribution of error scores.
The distribution of z.
Question 10.10. The desired sample depends on all of these factors except?
@Answer found in section 3.4, in Statistics for Managers
(Points : 1)
The desired certainty of results, expressed as a z score.
The variance in the data set.
The allowable error or variation from the actual population mean.
The size of the population to be sampled.
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