# Statics

Dec 22nd, 2013
KateS
Category:
Price: \$10 USD

Question description

1. How do statistical tests like the one sample t adjust for the absence of parameter values?
@Answer found in section 4.3 The One-sample t-Test, in Statistics for Managers
(Points : 1)  The values are estimated from sample data.
The values are assumed to have a constant value.
The test is reconstructed so that the values aren’t needed.
The test is reformulated so that data are always normal.

 Question 2. 2. 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 3. 3. 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 4. 4. Statistical significance for a tested mean difference means practical significance as well. (Points : 1)
True
False

 Question 5. 5. 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.

 Question 6. 6. Type I errors may occur with ______ results and type II errors with ______ results.@Answer found in section 4.5 The Independent Samples t-Test, in Statistics for Managers (Points : 1)
statistically significant, statistically significant
statistically significant, statistically non-significant
statistically non-significant, statistically significant
statistically non-significant, statistically non-significant

 Question 7. 7. What is the relationship between the power of a statistical test and decision errors?@Answer found in section 4.3 The One-sample t-Test, in Statistics for Managers (Points : 1)
Powerful tests minimize the risk of decision errors.
Powerful tests are more inclined to type II than type I errors.
Powerful tests compensate for decision errors with stronger effect sizes.
Powerful tests minimize type II errors.

 Question 8. 8. 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 <known> parameter standard error of the mean.

 Question 9. 9. 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 10. 10. The z- test requires an estimate of the population standard deviation. (Points : 1)
True
False

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