Exam 9: Significantly Significant: What It Means for You and Me

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Under the normal curve, if the obtained value falls to the left of the critical value, what percentage of the normal curve did it fall under?

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It is possible to have a statistically significant result that is not meaningful.

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How many general steps are there in applying a statistical test to any null hypothesis.

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When conducting a study, it is possible to control for every possible factor.

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p < .05 means that there is less than 1 chance in _______ that any differences found were not due to the hypothesized reason.

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Why does the researcher never really know the true nature of the null hypothesis?

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If you conclude that your findings yield a 50 in 1,000 chance that differences were not due to the hypothesized reason, what is the corresponding p value?

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The degree of risk you are willing to take that you will reject the null hypothesis when it is actually true is called _______.

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If you want to examine the difference between the average scores of three unrelated groups, which of the following statistical techniques should you select?

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Descriptive statistics uses a wide variety of statistical tests and analyses in order to test differences between groups or relationships between variables.

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Can something be significant and not meaningful?

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Which of the following occurs when you accept the null hypothesis when it is really false?

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Inferential statistics is defined as "a set of tools that are used to infer the results based on the sample to a population."

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The critical value is the value that results from the use of a statistical test.

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Which of the following is a statement of equality?

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Which of the following techniques is used to generalize findings from your sample to the population?

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A smaller confidence interval would result in ______.

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How would a researcher determine when statistical significance is important?

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If we reject the null hypothesis, it suggests that ______.

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Which of the following occurs when you reject the null hypothesis when it is really false?

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