Choosing a statistical test

    • [DOCX File]CHOOSING AN APPROPRIATE BIVARIATE INFERENTIAL …

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      Thus, you should use a parametric test if you can. The nonparametric test may well have more power than the parametric test if the parametric test’s assumptions are violated, so, if you cannot meet the assumptions of the parametric test, using the nonparametric should …

      what statistical analysis should i use


    • [DOC File]REVIEW EACH OF THE FOLLOWING SCENARIOS AND …

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      Review each of the following scenarios and indicate which statistical analysis would be most appropriate to test that scenario. For each scenario, identify the independent variable(s) (and levels, as applicable), and the dependent variable.

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    • [DOC File]REVIEW EACH OF THE FOLLOWING SCENARIOS AND …

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      What statistical test would she use to test mathematics achievement score differences between males and females controlling for the effect of the number of mathematics courses that the male and female students had previously taken. Choosing a Statistic II. Page 2. Choosing a Statistic II

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    • [DOC File]Choosing the correct statistical test

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      Choosing the correct statistical test. Questions to ask yourself: What scale of measurement has been used? Are you testing differences between groups or associations between variables? Are the samples independent or related (same person tested twice or paired ppl)? How many groups are involved?

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    • [DOCX File]AS and A Level Biology Lesson Element - Cells

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      Choosing a statistical test Students often focus on the arithmetic manipulations – plugging numbers into formulae – but the ability to choose the most suitable test and draw appropriate conclusions based on the results is at least as important.

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    • [DOC File]Statistical Tests

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      Choosing the Appropriate Statistical Test. Which test should you use? # of groups OR conditions Type of design Assumptions Type of test to use 1 sample Single sample 1, 2, 4 & 5 are all met Single sample z-test 1 sample Single sample 1, 2, & 4 are all met Single sample t-test 2 Independent

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