Exam 1: Why Do We Use Statistics

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When you have two measurements-one before the treatment and one after the treatment and have a comparison group, it helps in:

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C

The Excel file described in this chapter uses a regional proportion as the threshold fraction for comparison.

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Why do we use inferential statistics when we are testing a hypothesis in evaluative research?

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A hypothesis is a statement of educated prediction until it is tested to be evidenced by the statistical significance of the relationship between the variables in the hypothesis.

Statistical significance can be established to eliminate the role of chance by having two measurements-one before the treatment and one after the treatment and have a comparison group.

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Practical significance focuses on the statistical test to be used.

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The important factors to consider in data analysis are:

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Data analysis is a methodical process. Explain the reasons.

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Professional social workers use explanatory research when they:

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Explanatory research is close to:

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Evaluative research is a form of:

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Magnitude as a concept related to practical significance focuses on factors such as resources expended to achieve the result.

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The concept of statistical significance is simply the estimation and description of the variables.

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The difference between "Inferential Statistics" and "Descriptive Statistics" is:

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When you use CESD's Depression scale as a tool of measurement, the variable you are measuring is:

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When you have a hypothesis that states the relationship between self-efficacy and self-esteem, the variables of the study are:

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Please select the important factors to consider in data analysis:

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Statistics can be useful only in evaluative research.

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Descriptive studies cannot be conducted without hypothesis.

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Why do human service professionals need to engage in evaluative research?

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Descriptive research relies do not rely on inferential statistics to analyze the data.

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