Exam 7: Hypothesis Testing With Z Tests

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Replication involves conducting the same study with the same people multiple times.

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If a result is statistically significant, then chance is said NOT to account for the outcome.

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If one fails to reject the null hypothesis, it means that the results of the study are not statistically significant.

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To convert a person's percentile rank into a raw score, one needs to know the mean and standard:

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The typical probability adopted by researchers to determine whether a result is extreme is:

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The null hypothesis states that:

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When multiple researchers recruit participants from various locations to replicate findings it is called:

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When p < 0.05, the findings could be:

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The crowdsourcing movement in research has led to open science.

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_____ requires that all members of a population have an equal chance of being selected for a study.

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A parametric test is based on assumptions about the population.

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The behavioral sciences typically use alpha of 0.05.How do they represent this value and what does it mean?

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A research study that meets all the assumptions of the parametric test used to analyze the data:

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Philip is going to proceed with data analysis on a sample of scores that violate many assumptions about the population of interest.Which test would be more appropriate to use?

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A z test result of -1.94 would allow one to reject the null hypothesis, assuming a two-tailed test with p = 0.05.

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The statement "It is hypothesized that children who participate in a mentoring program will score lower on depression tests compared to children who do not participate in a mentoring program" best illustrates a:

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For a given population with a mean of 100 and a standard deviation of 20, a score of less than 80 is less likely to occur than a score of 80 based on 25 observations.

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A z score _____ the mean will always be _____.

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A test is said to be _____ when it produces fairly accurate results even when the data suggest that the population might not meet some of the assumptions.

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Which statement is NOT a general assumption of hypothesis testing specifically for the z test?

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