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Testing Relationships using Correlation Coefficient MCQ

Testing Relationships using Correlation Coefficient MCQ

1. 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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2. 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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3. 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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4. A correlated-groups t test ______.

Answer

Correct Answer: Compares sample means for two related groups

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5. This chapter illustrates that you can also incorporate ______ into the correlation coefficient.

Answer

Correct Answer: Statistical significance

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6. If the null hypothesis is not supported, then the t test should be ______.

Answer

Correct Answer: Greater than ±1.00

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7. If the null hypothesis is TRUE, then the t test should be close to ______.

Answer

Correct Answer: 0.00

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8. 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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9. 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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10. 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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11. What does the shape of any particular sampling distribution of a correlation coefficient depend on?

Answer

Correct Answer: Df

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12. What is the name of the Greek letter ρ?

Answer

Correct Answer: Rho

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13. 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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