Difference Between Groups Using Two-sample Inference
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With a combination of significance tests and confidence intervals, evaluate your knowledge of how to use two-sample inference to define the difference between groups.
- 1.Hypotheses convening the relative size of the means of two population are tested by...
- A.
Sample value and P-value
- B.
Critical Values and P-value
- C.
Confidence Interval
- D.
Point estimate and P-value
- 2.Independent values are composed of groups that are in no way matched to them.
- A.
Always true
- B.
Often true
- C.
Occasionally true
- D.
Never true
- 3.A point estimate for the difference in two group population is the...
- A.
Difference in different sample means
- B.
Difference in standardised test statistics
- C.
Similarities in different sample means
- D.
Difference in corresponding sample means
- 4.A dependent sample is one where two groups are formed from matched pairs.
- A.
Always true
- B.
Often true
- C.
Occasionally true
- D.
Never true
- 5.Which of these is the procedure used to test hypotheses concerning a single population?
- A.
3 steps
- B.
4 steps
- C.
5 steps
- D.
6 steps
- 6.The null and alternative hypotheses will always be expressed in terms of...
- A.
Similarities of the two population means
- B.
Difference in confidence interval
- C.
Differences of the two population means
- D.
Similarities in confidence interval
- 7.The number s d is an estimate of the standard deviations σd of the population of differences.
- A.
True
- B.
False
- C.
Not defined
- D.
Depends on some factors
- 8.Hypotheses testing is an integral part of research.
- A.
True
- B.
False
- C.
Maybe
- D.
Depends on some factors
- 9.When the data are collected in pairs, the differences computed for each pair is...
- A.
Different from the data used in formulas
- B.
Different from the data used in confidence interval
- C.
The data that are used in the formulas
- D.
The data used in confidence interval
- 10.The quantity sp2 is called the pooled sample variance.
- A.
True
- B.
False
- C.
Maybe
- D.
Depends on some factors
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