# [Get Answer ]-Statistics For June 2014

### Question Description

##### Question 1 of 25

1.0 PointsEffect size is a measure of: A.the differencebetween individual members of a sample B.the extent to whichtwo populations overlap C.the extent to whichtwo populations do not overlap D.the statisticalsignificance of a research study

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##### Question 2 of 25

1.0 Points

Which of the following is NOT a correct statement about effect size of a studyfinding:

A.It provides muchinformation about statistical significance. B.It is a standardizedmeasure of lack of overlap between populations. C.It increases withgreater differences between means. D.It can be convertedto a standardized effect size.

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##### Question 3 of 25

1.0 Points

According to Cohen’s conventions, for research that compares means, a largeeffect size in which only about 53% of the populations of individuals overlapwould be:

A..5 B..6 C..7 D..8

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##### Question 4 of 25

1.0 Points

Some IQ tests have a standard deviation of 16 points. If an experimentalprocedure produced an increase of 3.2 IQ points, the effect size would representa __________ effect size.

A.small B.medium C.large D.extralarge

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##### Question 5 of 25

1.0 Points

A standard verbal memory test is known to have a standard deviation of 10points. If an experimental procedure produced an increase of 8 points, theeffect size would represent a __________ effect size.

A.small B.medium C.large D.unable to determinewithout additional information

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##### Question 6 of 25

1.0 Points

In what way is effect size most comparable to a Z score?

A.It can range from1 to +1 B.It provides adirect indication of statistical significance C.It provides astandard for comparison for results across studies, even studies using differentmeasures D.All of theabove

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##### Question 7 of 25

1.0 Points

Cohen has proposed some effect-size conventions based on the effects observed inpsychology research in general because:

A.researchersfrequently need to decide whether the effect size that they have found allowsthem to reject the null hypothesis B.it is usuallydifficult to know how big an effect to expect from a givenexperiment C.Cohen originallydeveloped the relevant scales D.they are moreaccurate than figuring a minimum meaningful difference

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##### Question 8 of 25

1.0 Points

The effect size conventions proposed by Cohen are useful to researchers for:

A.predicting thevalue of the measured variable to use for the experimentalcondition B.evaluating researchresults to determine if they are statistically significant C.predicting theeffect of a study on various populations D.determining thepower of a planned study

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##### Question 9 of 25

1.0 Points

A statistical method for combining effect sizes from different studies is knownas:

A.combinationanalysis B.comparisonanalysis C.multivariateanalysis D.meta-analysis

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##### Question 10 of 25

1.0 Points

Reviews of a collection of studies on a particular topic that use meta-analysesrepresent an alternative to traditional __________ articles. These traditionalarticles describe and evaluate each study and then attempt to draw some overallconclusion.

A.general educationalmethod B.computer-assistedresearch C.engagement goalsetting D.narrativeliterature review

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##### Question 11 of 25

1.0 Points

It is useful to understand statistical power for which of the following reasons?

A.Determining thenumber of participants to use in an experiment B.Making sense offindings in research articles C.Understanding theimplications of a study that is not statistically significant D.All of theabove

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##### Question 12 of 25

1.0 Points

If statistical power for a given research study is .40, one can say that:“Assuming the researcher’s prediction is correct, the researcher has a__________ chance of attaining statistically significant results.”

A.20% B.40% C.45% D.80%

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##### Question 13 of 25

1.0 Points

When a study has only a small chance of being significant even if the researchhypothesis is true, the study is said to have:

A.lowpower B.lowprobability C.low marketvalue D.low samplesize

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##### Question 14 of 25

1.0 Points

Standard power tables are useful for:

A.directlydetermining the power of an experiment B.determining thepredicted score (but not the variance) for the group exposed to the experimentalmanipulation C.determining thepredicted effect size of a proposed experiment D.determining theprobability of falsely accepting the research hypothesis

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##### Question 15 of 25

1.0 Points

Effect size is one of the two major factors that contribute to power. Anotherfactor is:

A.the sample’sstandard deviation B.the minimummeaningful difference C.the samplesize D.the mean of theknown population

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##### Question 16 of 25

1.0 Points

A researcher may not be able to change the effect size of a planned study toincrease power. Another aspect of a planned study that the researcher canusually change to increase power is:

A.the samplesize B.the betalevel C.the populationparameters D.the samplemean

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##### Question 17 of 25

1.0 Points

In actual practice, the usual reason for determining power before conducting astudy is to:

A.eliminate thepossibility that a mistake may occur B.ensure thatregardless of whether the research hypothesis is true, the experiment will yielda significant result C.determine thenumber of participants needed to have a reasonable chance of getting asignificant result if the research hypothesis is true D.recognize thelikelihood that the experiment will need to be repeated

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##### Question 18 of 25

1.0 Points

What effect will using a one-tailed test over a two-tailed test have on power(presuming the true population difference is in the expected direction)?

A.it will increasepower B.it will have noeffect on power C.it will decreasepower D.power cannot becalculated if a one-tailed test is used

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##### Question 19 of 25

1.0 Points

Using a two-tailed test makes it __________ to get significance on any one tail.Thus, keeping everything else the same, power __________ with a two-tailed testthan with a one-tailed test.

A.easier;more B.harder;less C.easier;less D.harder;more

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##### Question 20 of 25

1.0 Points

If the research hypothesis is true, but the study has a low level of power:

A.there is a highprobability that the study will have a significant result B.the probability ofgetting a significant result is low C.the null hypothesiswill almost certainly be rejected D.the significancelevel selected is probably too lenient (for example, .10 instead of.05)

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##### Question 21 of 25

1.0 Points

Practical significance is a combination of statistical significance and:

A.effectsize B.the level ofmeasurement (whether it is equal interval or ordinal) C.the populationparameters D.the amount over orunder that level that the sample scored

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##### Question 22 of 25

1.0 Points

In statistics, we cannot state that the research hypothesis is ever definitelyfalse. However, if one fails to reject the null hypothesis in a study with ahigh level of power, this allows us to:

A.suspect that theresearch hypothesis may still be true B.conclude that theresearch hypothesis is most likely false C.make no statementsabout the research hypothesis D.reject the notionthat the effect size has anything to do with statisticalsignificance

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##### Question 23 of 25

1.0 Points

What is the most likely explanation for why a study with a very small effectsize came out significant?

A.the study had alarge sample size B.the study had alarge population standard deviation C.the researcher usedan insensitive hypothesis-testing procedure D.the researcher useda two-tailed test

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##### Question 24 of 25

1.0 Points

When judging a study’s results, there are two important questions. They are:

A.How large is thepower and how competent are the researchers? B.How stringent isthe significance level and how small is the effect size? C.Is the resultstatistically significant and is the effect size large enough for the results tobe meaningful? D.Is the studyreplicable and can we draw conclusions despite not having attained statisticalsignificance?

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##### Question 25 of 25

1.0 Points

If the results of a study are not statistically significant and the sample sizeis large, then:

A.the result is veryimportant B.the result provesthe null hypothesis C.the researchhypothesis is probably false D.the result provesthe research hypothesis

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