1. Is type II error the erroneous retention of a false null hypothesis?
Answer
Correct Answer:
True
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2. _____ is known as the erroneous rejection of a true null hypothesis.
Answer
Correct Answer:
Type I error
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3. _____ is defined as in an inferential test, the hypothesis predicting that there is no relationship between the inde- pendent and dependent variables. Symbolized H0.
Answer
Correct Answer:
Null hypothesis
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4. _____ is the process of generalizing from a sample to a population; the use of a sample statistic to estimate a population parameter. Also called hypothesis testing.
Answer
Correct Answer:
Inferential analysis
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5. Is alternative hypothesis in an inferential test, the hypothesis predicting that there is a relationship between the independent and dependent variables. Symbolized H1. Sometimes referred to as a research hypothesis?
Answer
Correct Answer:
True
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6. To conduct a test of hypothesis with a small sample, we make an assumption that __________.
Answer
Correct Answer:
The population is normally distributed
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7. When computing effect size, the sample size is ________.
Answer
Correct Answer:
Not taken into account
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8. Which of the following statements is accurate concerning degrees of freedom?
Answer
Correct Answer:
They are part of Step 2 in hypothesis testing.
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9. What does the alternative hypothesis predict?
Answer
Correct Answer:
The variables being examined are related.
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10. When a sample statistic is not equal to a population parameter, which conceptualization is accurate?
Answer
Correct Answer:
The disparity could represent a legitimate statistical effect and true discrepancy exists between the sample statistic and population parameter
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11. How does a researcher determine which test to use in a hypothesis test?
Answer
Correct Answer:
None of these
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12. Before conducting a hypothesis test, what must a researcher do?
Answer
Correct Answer:
Calculate a sample statistic
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13. What is the goal of hypothesis testing?
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Correct Answer:
To decide whether to reject/retain the null
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14. Which of the following is an assumption of inferential analysis?
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Correct Answer:
The null hypothesis is true.
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15. Which of the following is the fourth step of hypothesis testing?
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Correct Answer:
Compute the obtained value of the statistic
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16. Which of the following statements describes a Type I error?
Answer
Correct Answer:
A true null is erroneously rejected.
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17. Which of the following is NOT an example of a bivariate inferential test?
Answer
Correct Answer:
Multivariate regression
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18. The null hypothesis assumes that the difference between the population and the sample is sampling error.
Answer
Correct Answer:
True
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19. Step 2 of a hypothesis test is calculating the test statistic.
Answer
Correct Answer:
False
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20. Hypothesis testing draws conclusions about samples.
Answer
Correct Answer:
False
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21. Chi-square test is an example of a bivariate inferential test.
Answer
Correct Answer:
True
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22. A Type II error is retaining a false null hypothesis.
Answer
Correct Answer:
True
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