Testing Relationships using Correlation Coefficient MCQ
Which of the following is one of the assumptions for hypothesis testing of the Pearson’s correlation coefficient?
Answer
Correct Answer:
There is random sampling of X-Y pairs.
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Which of the following statements about the correlation coefficient is TRUE?
Answer
Correct Answer:
One should not accept that a correlation coefficient represents a relationship unless it is significant.
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The alternative hypothesis in a two-tailed significance test of correlation states that ______.
Answer
Correct Answer:
A correlation exists in the population
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A correlated-groups t test ______.
Answer
Correct Answer:
Compares sample means for two related groups
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This chapter illustrates that you can also incorporate ______ into the correlation coefficient.
Answer
Correct Answer:
Statistical significance
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If the null hypothesis is not supported, then the t test should be ______.
Answer
Correct Answer:
Greater than ±1.00
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If the null hypothesis is TRUE, then the t test should be close to ______.
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The null hypothesis in a two-tailed significance test of correlation states that ______.
Answer
Correct Answer:
No correlation exists in the population
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How many degrees of freedom do we have in significance testing of r?
Answer
Correct Answer:
N - 2, where N equals the total number of Xs plus the total number of Ys
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Which of the following is an example of a null hypothesis for testing a correlation coefficient?
Answer
Correct Answer:
H0: ρxy = 0
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What does the shape of any particular sampling distribution of a correlation coefficient depend on?
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What is the name of the Greek letter ρ?
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If after calculating a correlated-groups t test you find that it is equal to zero, then ______.
Answer
Correct Answer:
The two means do not differ significantly
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