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6 Cards in this Set

  • Front
  • Back
Sample Accuracy
-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
Intuition
-large probability samples are more accurate because there is less sample error
Confidence Interval Method
applies the concepts of accuracy, variability and confidence interval to create a correct sample size
Nonsampling Error
-pertains to all sources of error other than the sample selection method and sample size
-ex. problem specification mistakes, question bias, or incorrect analysis
Sampling Error
-error in sample selection and sample size
Variability
-refers to how similar or dissimilar responses are to a given question