Chapter 8 and 9

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Across
  1. 7. Occurs if we reject H0 when H0 is true.
  2. 8. The claim that we are trying to find evidence for in a significance test
  3. 9. The probability that a test will reject H0 at a chosen significance level α when a specified alternative value of the parameter is true
  4. 11. Table which shows probabilities under a normal curve, which can be used to derive z* the critical value
  5. 14. Procedure for using observed data to decide between two competing claims
  6. 15. Specific value of a point estimator from a sample
  7. 19. The difference between the point estimate and the true parameter value will be less than this
Down
  1. 1. Gives the probability of a Type I error.
  2. 2. if the alternative hypothesis states that the parameter is different from the null value
  3. 3. Statistic that provides an estimate of a population parameter
  4. 4. Claim we weight evidence against in a significance test. Often a statement of “no difference.”
  5. 5. Success rate of the method for calculating the confidence interval
  6. 6. is an interval that is computed from sample data and provides a range of plausible values for a population parameter.
  7. 10. n-1
  8. 12. the result of When the standard deviation of a statistic is estimated from data
  9. 13. Occurs if we fail to reject H0 when Ha is true
  10. 16. The probability, computed assuming H0 is true, that the statistic would take a value more extreme than the one actually observed
  11. 17. Calculation that measures how far a sample statistic diverges from what we would expect if the null hypothesis H0 were true, in standardized units
  12. 18. depends on both the confidence level C and the sampling distribution of the statistic