Chapter 8 and Chapter 9 Vocabulary

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Across
  1. 3. statement of "no difference"
  2. 5. value of that statistic from a sample
  3. 6. states that the parameter is different from the null hypothesis value
  4. 7. gives the overall success rate of the method for calculating the confidence interval
  5. 8. when both np and n(1-p) are at least 10
  6. 9. the probability that the test will reject the null at a chosen significance level when the specified alternative value of the parameter is true
  7. 11. the claim we hope or suspect to be true
  8. 16. when the standard deviation of a statistic is estimated from data
  9. 18. the probability that measures the strength of the evidence against the null and in favor of the alternative
Down
  1. 1. a multiplier that makes the interval wide enough to have the stated capture rate
  2. 2. a formal procedure for using observed data to decide between two competing claims
  3. 4. when we fail to reject the null when the alternative is actually true
  4. 5. a statistic that provides an estimate of a population parameter
  5. 7. gives an interval of plausible values for a parameter
  6. 10. tells how close the estimate tends to be to the unknown parameter in repeated random sampling
  7. 12. the probability calculations involved in that procedure remain fairly accurate when a condition for using the procedure is violated
  8. 13. measures how far a sample statistic diverges from what we would expect if the null was true
  9. 14. reasonable or believable value based on the data
  10. 15. states that a parameter is larger or smaller than the null hypothesis value
  11. 17. when we reject the null when the null is actually true