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Mean; Population Parameter; |
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standard deviation population parameter |
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Standard Deviation: Sample Statistic |
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Proportion: Population Parameters |
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Proportion: Sample Statistic |
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Parameters vs. Statistics |
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If we were to take a sample and calculate the sample mean, would the sample mean be exactly equal to the population mean? |
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If we were to take a sample and compute the sample proportion, would the sample mean be exactly equal to population mean? |
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If we were to take a sample and compute the sample the sample proportion, would the sample proportion be exactly equal to the population proportion? |
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The statistics are called ________ _______. They are our "best guess" of the parameter but we need to know more about their variability and potential biases. |
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Bias and Standard Error-all the statistics we use in this class are unbiased and have small variability. |
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Bias has to do with the ______(center, spread) of the sampling distribution. |
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Bias: An ________ (unbiased/biased) statistic has its sampling distribution centered at the parameter being estimated. |
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Standard Error has to do with the _______ (spread/center) of the sampling distribution. |
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Sampling Error: A _______ (smaller/larger) spread means that we have more values of the estimate closer to the parameter being estimated. |
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How do you reduce standard error? |
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