Question

37

A researcher examined the effect of distraction (i.e., no distraction vs. high level of distraction) and reward size (no reward vs. $10 reward) on task performance. She used a two-factor ANOVA to analyze her data. If the results of ANOVA showed a significant main effect of distraction on task performance that means_________.

• A. the mean performance of participants tested under different levels of distraction is significantly different.
• B. the mean performance of participants tested under different levels of reward is significantly different.
• C. the effect of reward on performance significantly differs under no distraction vs. high distraction conditions (i.e., the reward affects performance significantly different depending on the level of distraction).
• D. None of the above.

38 A researcher examined the effect of distraction (i.e., no distraction vs. high level of distraction) and reward size (no reward vs. $10 reward) on task performance. He used a two factor ANOVA to analyze his data. If the results of ANOVA showed a significant main effect of reward on task performance that means_________.

• A. the mean performance of participants tested under different levels of distraction is significantly different.
• B. the mean performance of participants tested under different levels of reward is significantly different.
• C. the effect of reward on performance significantly differs under no distraction vs. high distraction conditions (i.e., the reward affects performance significantly different depending on the level of distraction).
• D. None of the above.

39 A researcher examined the effect of distraction (i.e., no distraction vs. high level of distraction) and reward size (no reward vs. $10 reward) on task performance. He used a two-factor ANOVA to analyze his data. If the results of ANOVA showed a significant interaction effect of distraction and reward on task performance that means_________.

• A. the mean performance of participants tested under different levels of distraction is significantly different.
• B. the mean performance of participants tested under different levels of reward is significantly different.
• C. the effect of reward on performance significantly differs under no distraction vs. high distraction conditions (i.e., the reward affects performance significantly different depending on the level of distraction).
• D. None of the above.

40 Suppose that a researcher reports a Pearson correlation of r = 0.55, n = 30, p < .01, between the amount of time students spent studying for an exam and their grades on the exam. This outcome would indicate that _________________.

• A. spending more time on preparing for the exam has a positive effect on the exam grades.
• B. spending more time on preparing for the exam improves the exam grades.
• C. there is a tendency for students who study more to get better grades.
• D. all of the above.

41 A researcher interested in a relationship between self-esteem and depression conducted a study on undergraduate students and obtained a Person correlation of r = - 0.32, n = 25, p > .05 between these two variables. Based on this result the correct conclusion is _______.

• A. reject null hypothesis; there is a significant negative correlation between self-esteem and depression.
• B. reject null hypothesis; there is no significant correlation between self-esteem and depression.
• C. fail to reject null hypothesis; there is a significant negative correlation between self-esteem and depression.
• D. fail to reject null hypothesis; there is no significant correlation between self-esteem and depression.

42 A researcher conducted a Chi² test for Independence to evaluate the relationship between gender and the choice among five academic majors. If the researcher obtained the Chi²(4, n = 100) = 18.66, p < 0.01, what is the correct statistical decision and conclusion for this test?

• A. fail to reject the null hypothesis; there is a significant correlation between gender and the choice of academic major.
• B. reject null hypothesis; there is a significant correlation between gender and the choice of academic major.
• C. reject null hypothesis; there is no significant correlation between gender and the choice of academic major.
• D. fail to reject the null hypothesis; there is no significant correlation between gender and the choice of academic major.

Answer 1

37)Ans.

the mean performance of participants tested under different levels of distraction is significantly different.

40)Ans

spending more time on preparing for the exam has a positive effect on the exam grades.

41)Ans

fail to reject null hypothesis; there is no significant correlation between self-esteem and depression.

42)reject null hypothesis; there is a significant correlation between gender and the choice of academic major.