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6 Cards in this Set
- Front
- Back
Sample Accuracy
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-refers to how close a random sample's statistic is to the true populations value it represents
-ex. the sample is accurate + - 7% at the 95% level of confidence |
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Intuition
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-large probability samples are more accurate because there is less sample error
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Confidence Interval Method
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applies the concepts of accuracy, variability and confidence interval to create a correct sample size
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Nonsampling Error
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-pertains to all sources of error other than the sample selection method and sample size
-ex. problem specification mistakes, question bias, or incorrect analysis |
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Sampling Error
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-error in sample selection and sample size
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Variability
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-refers to how similar or dissimilar responses are to a given question
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