Confidence Intervals and Significance Tests

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Across
  1. 2. failing to reject null when null is false
  2. 5. a statistic that provides an estimate of a population parameter
  3. 9. the curve always used when finding the confidence interval of a mean
  4. 13. The probability that something more extreme than a value, given that the null is true, will happen.
  5. 14. n-1, used in t distributions when sampling distribution is close to normal
  6. 15. what we say when p value is less than alpha
  7. 18. value of a statistic from a sample
  8. 20. when probability calculations involved the procedure remain fairly accurate when a condition is violated
Down
  1. 1. standard deviation divided by the square root of the sample size
  2. 3. rejecting null when null is true
  3. 4. how close the estimate will be to an unknown parameter in repeated testing
  4. 6. Claim about population we are trying to find evidence for
  5. 7. the z-score used to find the interval
  6. 8. A formal procedure for comparing observed data with a claim whose truth we want to assess
  7. 10. Claim tested by a statistical test
  8. 11. "a proportion of all possible samples of a given size from this population will result in an interval that captures the unknown parameter
  9. 12. when the alternative hypothesis states that a parameter larger than or less than the null value
  10. 16. "We are C% that the interval from __ to __ captures the actual value of the [population parameter in context]
  11. 17. probability that a test will reject null at a chosen significance level if the parameter is true
  12. 19. when the alternative hypothesis states that a parameter is different from the null