Exam 6: Analyzing and Interpreting Quantitative Data

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A quantitative researcher uses a data analysis computer program to sort the values of each variable into ascending order.The intent of this procedure is typically to

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Briefly define the z score.

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A confidence interval is the range of upper and lower statistical values,consistent with observed data and likely to contain the actual population mean.

When inputting data into a computer program for data analysis,"values" are:

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The standard deviation tells us

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When inspecting data,we examine the database for scores that are

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From the statements below,select the best guideline to use for selecting a statistical program for your quantitative data analysis.

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If a researcher sets the alpha at .05 and obtains a p value of .06,this means that a null hypothesis would

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Briefly define the mean.

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Examine the following statement found in the conclusion to a quantitative research study: "One reason why the results were insignificant may be due to the small size of the sample and the use of a convenience,rather than a random,probability sample." This statement indicates that the researcher is select the best response)

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If the probability value is less than or equal to the significance level,then you

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Which of the following factors is most important to consider in selecting an appropriate statistical test for a quantitative study?

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Which of the following is a possible outcome of hypothesis testing?

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Briefly define confidence intervals.

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Which of the following represents an example of a summed score in quantitative data analysis?

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You are reading a research report summarizing the findings for a study of first-year teacher anxiety in the classroom.You read the following results: "The average score for teachers on all items on the anxiety instrument was 65.76 with a standard deviation of 5.6.The scores varied from a low of 45 to a high of 75 on the instrument." What type of research question would likely result in this type of statement?

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Which of the following is an example of a figure used in quantitative research?

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Why it is important to check for effect size in addition to hypothesis testing?

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In the parent involvement study Deslandes & Bertrand,2005),the researchers state a finding in paragraph 27: "Parents' perceptions of students' invitations in the social domain was the most powerful predictor;it accounted for an additional 28% of the variance beta = .35,p < .001)." From looking at the p value you would conclude

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The two areas at the end of a normal curve that indicate low probability values if the null hypothesis is true are called

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An individual who has completed your research survey instrument has not responded to question 10 and has chosen to leave it blank.For purposes of quantitative data analysis,how would you respond to this issue?

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