Question 34 1 out of 1 points twenty college students

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Question 34 1 out of 1 points Twenty college students experience the effects of alcohol on reaction time. They perform very basic timed responses in a driving simulator both before and after consuming several alcoholic beverages. The researcher collects a reaction-time result for each of the 20 students before and after intoxication, for a total of 40 measures. What is the null hypothesis for this paired-samples study? Selected Answer: There is no difference in reaction time before and after consuming alcohol. Answers: There is no difference in reaction time before and after consuming alcohol.
Reaction time slows with alcohol consumption. There is a difference in reaction time before and after consuming alcohol. Reaction time quickens with alcohol consumption. Question 35 0 out of 1 points The standard deviation of the sample is used to estimate the standard deviation of the population. Answers:
Question 36 1 out of 1 points For a two-tailed t test, there are two critical cutoff values. Answers:
Question 37 1 out of 1 points If the standard deviation for a population, as estimated from a sample, is s = 10.23, then the standard error for a sample size of N = 20 is s M =
Question 38 0 out of 1 points Effect size measures have the same meaning for the t test as they do for the z test.
Selected Answer: Fals e Tru e False Answers:
Question 39 1 out of 1 points The critical cutoff(s) for a one-tailed, paired-samples t test with 16 participants at a p level of 0.05 is (are):
Question 40 1 out of 1 points What would be the decision for the following paired-samples t test: t(24) = 4.11, p < 0.05?
Question 41 1 out of 1 points The formula for the degrees of freedom for the dependent-samples t test is:
Question 42 1 out of 1 points The formula for the null hypothesis for a paired-samples t test is: Selected Answer: H 0 : 1 = µ 2 . Answers: H 0 : µ 1 = µ 2 . H 0 : µ 1 ≠ µ 2 . H 1 : µ 1 = µ 2 . H 1 : µ 1 ≠ µ 2 . µ
Question 43 1 out of 1 points The phrase “free to vary” in degrees of freedom refers to the number of scores that can take on different values when a given _______ is estimated from a sample.
mean standard error

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