For what type of response variable do we compute proportion?
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What is the symbol for sample proportion?
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Suppose a random sample of 300 students at a state university were asked whether they attended their university's last home football game. Thirteen percent said they had. Is "13%" a statistic or a parameter?
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How does the sampling distribution of ˆp differ from the sampling distribution of ¯x?
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For what do we examine a histogram representing the approximate sampling distribution of ˆp?
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What is the response variable for this example and is it categorical or quantitative?
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What is the parameter for this example?
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True or false: The center of the histogram is about 0.21.
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True or false: The estimated sampling distribution of ˆp for samples of size 40 is closer to Normal than the estimated sampling distribution of ˆp for samples of size 400.
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Fill in the blank: As the sample size increases, the spread of the sampling distribution of ˆp ______________.
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Fill in the blank: The proportion of voters for Lincoln is _____________ the proportion of voters for Douglas.
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What is the shape of the estimated sampling distributions of ˆp for samples of size n = 40 and n = 400?
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Fill in the blank: The value of p for Lincoln is _____________ the value of p for Douglas.
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The value of p for Douglas is p = 0.21. What is the mean of the sampling distribution of ˆp created by taking repeated samples of size n = 100 and computing the proportion for Douglas?
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The value of p for Douglas is p = 0.21. What is the standard deviation of the sampling distribution of ˆp created by taking repeated samples of size n=100 and computing the proportion for Douglas?
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The value of p for Douglas is p = 0.21. What is the shape of the sampling distribution of ˆp created by taking repeated samples of size n = 100 and computing the proportion for Douglas?
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True or false: The standard deviations differ because p for Douglas is p = 0.21 and p for Lincoln is p = 0.40.
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True or false: The requirement for "n large" for applying the Central Limit Theorem depends on np and n(1 - p).
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In order to apply the Central Limit Theorem to the shape of the sampling distribution of ˆp, which of the following conditions must be met?
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Why was the shape of the sampling distribution of ˆp created from samples of size 40 of those for Lincoln closer to Normal than the shape of the sampling distribution of ˆp created from samples of size 40 of those for Douglas?
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True or false: The shape of the sampling distribution of ˆp gets closer to Normal as n increases.
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Why is the shape of the sampling distribution of ˆp approximately Normal?
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On the basis of this probability, can we reject H0: p = 0.5?
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Why doesn't the population from which we sample have a mean and a standard deviation?
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What type of graph is used for categorical data?
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