1. When computing effect size, the sample size is ________.
Answer
Correct Answer:
Never taken into account
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2. 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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3. The t test for independent means is used when each group is tested ____________.
Answer
Correct Answer:
Only once
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4. The rejection of a true null hypothesis is called a ______________ error.
Answer
Correct Answer:
Type I
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5. For a fixed sample size, the lower we set α, the higher is the ___________.
Answer
Correct Answer:
β
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6. If calculated required sample size is a non integer value, we should always _____ calculated value.
Answer
Correct Answer:
Round up
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7. In the t test for independent groups, ____.
Answer
Correct Answer:
We estimate
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8. The critical value for a hypothesis test _______.
Answer
Correct Answer:
The significance level and determines the boundary for the rejection region.
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9. The hypothesis statement h: μ < 60 is an example of a(an) ________ hypothesis.
Answer
Correct Answer:
Alternative hypothesis
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10. The test statistic calculated by the statistical procedure selected is known as the ___________.
Answer
Correct Answer:
Obtained value
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11. The sample mean is _____ the confidence interval.
Answer
Correct Answer:
In the center of
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12. When using student's t to compute an interval estimate, ___________.
Answer
Correct Answer:
We assume the samples are collected from normally distributed populations
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13. The size of the sampling error is ________.
Answer
Correct Answer:
Inversely related to the sample size
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14. A(n) ____________ difference is due to some systematic influence and not due to chance.
Answer
Correct Answer:
Significant
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15. Decreasing the alpha level from α = .05 to α = .01 ____.
Answer
Correct Answer:
Decreases the probability of a Type I error
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16. A Type I error occurs when: (Hint: When we use test statistics to tell us about the true state of the world, we’re trying to see whether there is an effect in our population.)
Answer
Correct Answer:
We conclude that there is an effect in the population when in fact there is not.
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17. What is p the probability if the null hypothesis were true? (Hint: NHST relies on fitting a ‘model’ to the data and then evaluating the probability of this ‘model’ given the assumption that no effect exists.)
Answer
Correct Answer:
P is the probability of observing a test statistic at least as big as the one we have if there were no effects in the population (i.e., the null hypothesis were true).
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18. If my null hypothesis is ‘Dutch people do not differ from English people in height’, what is my alternative hypothesis?
Answer
Correct Answer:
All of the statements are plausible alternative hypotheses.
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19. If my experimental hypothesis were ‘Eating cheese before bed affects the number of nightmares you have’, what would the null hypothesis be?
Answer
Correct Answer:
The number of nightmares you have is not affected by eating cheese before bed.
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20. ‘Children can learn a second language faster before the age of 7’. Is this statement:
Answer
Correct Answer:
A one-tailed hypothesis
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