Exam 8: Introduction to Hypothesis Testing

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A researcher conducts a hypothesis test to evaluate the effect of a treatment.The hypothesis test produces a z-score of z = 2.37.Assuming that the researcher is using a two-tailed test,what decision should be made?

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There is always a possibility that the decision reached in a hypothesis test is incorrect.

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Which of the following is an accurate definition for the power of a statistical test?

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If a hypothesis test leads to rejecting the null hypothesis,it means that the sample data failed to provide sufficient evidence to conclude that the treatment has an effect.

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A researcher administers a treatment to a sample of n = 16 selected from a population with = 40 and = 8.If the sample mean after treatment is M = 42,then Cohen's d = 1.00.

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Even if a treatment has an effect,it is still possible to obtain a sample mean that is very similar to the original population mean.What outcome is likely if this happens?

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If the power for a hypothesis test is calculated to be 0.80,then for same test,the probability of a Type II error is 0.20.

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You complete a hypothesis test using = .05,and based on the evidence from the sample,your decision is to reject the null hypothesis.If the treatment actually has no effect,which of the following is true?

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A researcher selects a sample and administers a treatment to the individuals in the sample.If the sample is used for a hypothesis test,what does the alternative hypothesis (H1)say about the treatment?

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Which of the following is directly addressed by the null hypothesis?

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Which of the following accurately describes the critical region?

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Which of the following will increase the power of a statistical test?

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If a hypothesis test produces a z-score in the critical region,what decision should be made?

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Which of the following correctly describes the effect of increasing the alpha level (for example,from .01 to .05)?

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You complete a hypothesis test using = .05,and based on the evidence from the sample,your decision is to reject the null hypothesis.If the treatment actually does have an effect,which of the following is true?

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The alpha level determines the risk of a Type I error.

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What is the relationship between the alpha level,the size of the critical region,and the risk of a Type I error?

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A researcher administers a treatment to a sample of participants selected from a population with µ = 80.If the researcher obtains a sample mean of M = 88,which combination of factors is most likely to result in rejecting the null hypothesis?

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If all other factors are held constant,increasing the sample size from n = 25 to n = 100 will increase the power of a statistical test.

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Which of the following accurately describes the effect of increasing the sample size?

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