True or false: ˆp has an approximate Normal distribution with mean, p, and standard deviation, √p(1−p)n, when n is large.
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What is the problem with the test statistic formula z=ˆp−po√p(1−p)n for testing the value of the parameter p?
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What do we check to determine whether n is large enough for a good Normal approximation?
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How should data be collected for a test on H0: p=po to be valid?
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The research question is, "Is the proportion of first-year students at this university who have "being very well-off financially" as an important personal goal significantly different from the national value of 73%?" What is the response variable and is it categorical or quantitative?
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True or false: We use the symbol p in the hypotheses because the response variable is categorical and we want to test proportion.
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What do we check to determine whether n is large enough for a good Normal approximation when computing P-value?
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With P-value = 0.0258 and α = 0.05, should we reject H0?
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Given that the hypotheses are H0: p = 0.73 and Ha: p ≠ 0.73 and we rejected H0, what should we conclude?
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With 40 children having autism out of 6,000 children, what is ˆp?
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How were the data collected for this study?
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What table is used to find the P-value for a test of significance on proportion?
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