Testing a Claim

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Across
  1. 4. an interval of plausible values for a parameter
  2. 7. overall success rate
  3. 9. value of that statistic from a sample
  4. 10. if the P-value is lower than alpha
  5. 12. states that the parameter is different from the null hypothesis value
  6. 13. measures the distance of the values in a distribution from the mean
  7. 15. described by a normal density curve
  8. 17. Statistic measures how far a sample statistic diverges from what we would expect if the null hypothesis were true
  9. 18. when the standard deviation of a statistic is estimated from the data
  10. 19. the claim that we are trying to find evidence for in a significance test
  11. 20. Sample every group of n individuals in the population has an equal chance to be selected
Down
  1. 1. we fail to reject the null hypothesis when the alternative hypothesis is true
  2. 2. average
  3. 3. states the parameter is larger than the null hypothesis
  4. 5. probability that the statistic would take a value as extreme as or more extreme than the one actually observed
  5. 6. probability that a test will reject the null hypothesis at a chosen significance level when a specified alternative value of the parameter is true
  6. 8. a statistic that provides an estimate of a population parameter
  7. 11. how close we believe our guess is
  8. 14. claim we weight evidence against in a significance test
  9. 16. we reject the null hypothesis when it is really true