Quiz 11 - Question 1 5 out of 5 points When F is...

  • Blinn College
  • PSYC 2317
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Question 15 out of 5 pointsWhen F is significant:Selected Answer:one does not know which specific means differ significantly.Answers:the values of the means that are closest together are the only ones that aresignificant.the values of the means that are farthest apart are the only ones that are significant.one does not know which specific means differ significantly.one fails to reject the null hypothesis.
Question 25 out of 5 pointsIf the p level is.0.05 and the null hypothesis is true, the probability of making a TypeI error when performing a single hypothesis test is _____, but if three hypothesis testsare performed, then the probability of NOT making a Type I error is _____, whichmeans that the probability of making a Type I error at least once in these threehypothesis tests is _____.
Question 35 out of 5 pointsViolation of the assumption that samples are randomly selected affects researchers'ability to:
Question 45 out of 5 pointsA one-way within-groups ANOVA is also known as a _____ ANOVA.
Question 55 out of 5 pointsDr. Sanders was interested in investigating the effects of stress on memory. Heexposed participants to public-speaking stress and room-temperature stress andgave them a memory measure immediately after exposure to the two stressors. Dr.Sanders also gave participants the memory measure at baseline, when they firstentered the research laboratory. Dr. Sanders hypothesized that participants'memories would be most affected by the two stressors compared to the baselinecondition. What statistical test should Dr. Sanders use to test her hypothesis?Selected Answer:within-groups ANOVAAnswers:between-groups ANOVAindependent samples t testwithin-groups ANOVAdependent samples t testQuestion 6
5 out of 5 pointsAn F statistic calculated on 3 and 48 degrees of freedom equals 4.23. Which decisionshould be made about a hypothesis tested at the p = 0.05 level?

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Term
Fall
Professor
STAFF
Tags
Null hypothesis, Statistical hypothesis testing, Statistical significance, Statistical power

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