Chapter 8 & 9 Vocabulary

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Across
  1. 2. the probability that a statistic would take a value as extreme as or more extreme than the one actually observed
  2. 3. the z-score of a certain confidence level
  3. 4. tells how close the estimate tends to be to the unknown parameter in repeated random sampling
  4. 6. overall success rate of the method for calculating the confidence interval
  5. 11. if the p-value is less than alpha (α), it is _______at level α.
  6. 13. the claim tested by a statistical test
  7. 15. an alternative hypothesis that states is different from the null hypothesis value; could be larger or smaller
  8. 16. if we fail to reject the null hypothesis when the null hypothesis is false
  9. 18. if the mean of a sampling distribution is equal to the parameter being estimated, it is called a
  10. 19. α used to determine whether we should reject or fail to reject null hypothesis; most often set at 0.05 (5%)
Down
  1. 1. a number that describes a population
  2. 3. estimate ± margin of error
  3. 5. measures how far a sample statistic diverges from what we would expect if the null hypothesis were true
  4. 7. the claim about to the population that we are trying to find evidence for
  5. 8. the distribution of all values taken by a statistic in all possible samples of the same size from the same population
  6. 9. a number that describes a sample
  7. 10. when n is large (n ≥ 30), the sampling distribution of the sample mean will have a normal distribution
  8. 12. the standard deviation of a statistic
  9. 14. if we reject the null hypothesis when the null hypothesis is true
  10. 17. measures the ability of the test to detect an alternative value of the parameter