Chapters 8 and 9

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Across
  1. 6. the value of a statistic from a sample
  2. 8. states parameter is different from the null value (it could either be smaller or larger)
  3. 11. fail to reject the null when the alternate is true
  4. 14. when conditions are met at a C% confidence interval for unknown proportion
  5. 15. describes how far the sample mean will typically be from the true mean in repeated SRSs of size n
  6. 16. the probability assuming the null is true, that the statistic would take a value as extreme or more extreme than the one actually observed
  7. 18. when standard deviation of a statistic is estimated from data, the result is called the ____ of the statistic
  8. 19. the claim we weigh evidence against in a statistical test
  9. 20. measures how far a sample statistic differs from what we would expect is the null was true
Down
  1. 1. gives an interval of plausible values for a parameter
  2. 2. if a p-value is smaller than α
  3. 3. gives overall success rate of the method for calculating the confidence interval
  4. 4. used to find the right t-distribution
  5. 5. states parameter is larger or smaller than the null value
  6. 7. probability that the test will reject the null at a chosen significance level when the specified alternative value of the parameter is true
  7. 9. reject the null when it is actually true
  8. 10. is a multiplier that makes the interval wide enough to have the stated capture rate
  9. 12. the claim about the population that we are trying to find evidence for
  10. 13. a statistic that provides an estimate of a population parameter
  11. 17. shows how close we believe our guess is