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Week 9

ashleighdawn 14 questions

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Questions in this quiz (14)

  1. 1Dr. Walters finds that students who work less than 10 hours a week have significantly higher test scores than students who work more than 10 hours a week. In order to determine the magnitude of the effect of work hours on test scores, she should calculate a(n)
    1. Acritical value.
    2. Bnull calculation.
    3. Cdegree of freedom.
    4. Deffect size.
  2. 2The expected value of t if the null hypothesis is true would
    1. Aequal 0.
    2. Bequal 1.
    3. Cdepend on the degrees of freedom.
    4. Dvary depending on the alpha level.
  3. 3When comparing two group means, the _____ refers to the number of scores free to vary once the means are known.
    1. Aresearch hypothesis
    2. Bstatistical significance
    3. Cdegrees of freedom
    4. Dnull hypothesis
  4. 4When he analyses the difference between two means, Professor Demento finds an effect size of .85 using the statistic Cohen’s d. Professor Demento can conclude
    1. Athe means are separated by a .85 standard deviation.
    2. B 85% of the effect on the dependent variable is due to the manipulation.
    3. C there is a correlation of .85 between the independent and dependent variable.
    4. Dthe results would only occur 85% of the time.
  5. 5_____ is a type of standardised effect size that indicates the _____ the independent variable’s effect on the dependent variable.
    1. Apoint-biserial correlation squared (or effect size r squared) / magnitude of
    2. BSigma / difference in
    3. Cpoint-biserial correlation squared (or effect size r squared) / difference in
    4. Dt / magnitude of
  6. 6An aviation researcher hypothesises that during final approach to land, pilots underestimate their altitude to a greater extent at night than they do during the day. This misperception of altitude often results in long and short landings where pilots fail to touch down at the designated point on the runway. To investigate this he recruits 12 professional pilots and has half (n=6) of them perform a night landing (Condition 1) and the other half (n=6) perform a daylight landing (Condition 2) in a flight simulator. The pilots were to touch down at a specific point on the runway. For each landing the researcher measured the distance from the runway target point, in meters, to where the plane actually touched down. The mean nighttime distance was 15 metres (sum of squared deviations = 64). The mean daytime distance was 11 metres (sum of squared deviations = 20). Which of the following statistical tests would be appropriate to test the researcher’s hypothesis?
    1. AChi-square test
    2. BCorrelation
    3. Cz-test
    4. Dt-test
    5. EF-test
  7. 7Referring to the above aviation study, what is the (approximate) pooled variance for overestimation distance in the daytime and nighttime conditions?
    1. A4
    2. B1.7
    3. C1.8
    4. D8.4
    5. E2.9
  8. 8Referring to the above aviation study, what is the (approximate) estimated standard error of mean difference scores?
    1. A2.9
    2. B8.4
    3. C1.7
    4. D1.8
    5. E2.2
  9. 9Referring to the above aviation study, what is the (approximate) t value of the observed mean difference scores?
    1. A8.4
    2. B2.4
    3. C1.7
    4. D2.2
    5. E1.8
  10. 10Referring to the above aviation study,using an alpha level of 5% (.05 probability), what is the two-tailed, critical value of t for this study?
    1. A2.571
    2. B1.812
    3. C1.960
    4. D2.228
    5. E2.179

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Description
Quiz on Week 9, created by ashleighdawn on 26/05/2015.
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