Statistics puzzle

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Across
  1. 2. Multiplier that makes the interval wide enough to have the stated capture rate
  2. 5. Procedure for using observed data to decide between two competing claims (also called hypotheses). The claims are often statements about a parameter
  3. 7. An alternative hypothesis that states that a parameter is larger than the null hypothesis value or that states that the parameter is smaller than the null value
  4. 8. The probability, computed assuming H0 is true, that the statistic would take a value as extreme as or more extreme than the one actually observed, in the direction specified by Ha
  5. 10. Both n and n(1 − ) are at least 10
  6. 11. Claim we weight evidence against in a significance test
  7. 12. if it states that the parameter is different from the null value (it could be either smaller or larger)
  8. 16. a statistic that provides an estimate of a population parameter
  9. 17. μ
  10. 18. Fixed value α (alpha) that we use as a cutoff for deciding whether an observed result is too unlikely to happen by chance alone when the null hypothesis is true
  11. 19. If we fail to reject H0 when Ha is true, we have committed
Down
  1. 1. the value of that statistic from a sample is called a
  2. 3. The difference between the point estimate and the true parameter value
  3. 4. σ
  4. 6. If we reject H0 when H0 is true, we have committed
  5. 9. Success rate of the method for calculating the confidence interval
  6. 13. standard deviation of a statistic is estimated from data
  7. 14. The claim that we are trying to find evidence for in a significance test
  8. 15. gives an interval of plausible values for a parameter
  9. 16. The probability that a test will reject H0 at a chosen significance level α when a specified alternative value of the parameter is true