BUS 308 Week 2 Quiz (All correct)
BUS 308 Statistics for Managers (DCH1433A)
Week 2 Quiz (All correct)
Question 1
The mean of the distribution of sample means will have the same value as the mean of the distribution of individual scores upon which it is based.
True
False
Question 2
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
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 – μM difference.
Question 3
The desired sample depends on all of these factors except?
@Answer found in section 3.4, in Statistics for Managers
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 4
What question does the z test answer?
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 5
Statistical significance for a tested mean difference means practical significance as well.
True
False
Question 6.
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.
True
False
Question 7
The standard error of the mean is actually the standard deviation of all of the means that make up the distribution of sample means.
True
False
Question 8
Large differences in the numerator of a statistical test for differences for means are the only critical factor in determining statistical significance.
True
False
Question 9
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
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 10.
The independent t-test is based on which distribution?
@Answer found in section 4.5 The Independent Samples t-Test, in Statistics for Managers
The distribution of difference scores
The distribution of sample means
The distribution of error scores
The distribution of z
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