Exam 1: Why Do We Use Statistics
Exam 1: Why Do We Use Statistics34 Questions
Exam 2: Using the Computer for Statistical Analysis of Data35 Questions
Exam 3: Selecting a Statistic to Answer Your Research Question33 Questions
Exam 4: Using Descriptive Statistics to Describe Your Study Sample35 Questions
Exam 5: Analyzing Data With Pretest and Posttest Measurements of One Group34 Questions
Exam 6: Analyzing Data When You Are Comparing Two Groups35 Questions
Exam 7: Analyzing Data When You Are Evaluating a Single Client35 Questions
Exam 8: Explaining Client Gain33 Questions
Exam 9: A Synopsis of Selected Statistical Tests for Examining Nominal Data34 Questions
Exam 10: A Synopsis of Selected Statistical Tests for Examining Ordinal Data28 Questions
Exam 11: Statistics for Evidence-Based Practice30 Questions
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Establishing statistical significance is important to determine whether the results of the study occurred due to chance or not.
(True/False)
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A p value that is less than 0.05 for a study in social science does not mean which of the following:
(Multiple Choice)
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Explanatory and evaluative research hypotheses differ from other forms of hypotheses because these hypotheses examine client progress as a consequence of the intervention.
(True/False)
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When we know an already known factor such as a national proportion, this can be used as:
(Multiple Choice)
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One of the following is not a key factor to consider before beginning your data analysis:
(Multiple Choice)
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Hypotheses state the relationship between the variables pertaining to your research question.
(True/False)
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Hypotheses do not state the relationship between the variables pertaining to your research question.
(True/False)
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Human service professionals prefer to do study with populations rather than sample.
(True/False)
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The difference between a "sample" and the "population" is that the sample consists of those whose responses constitute the data and the population includes the sample.
(True/False)
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