Statistics

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Across
  1. 4. if the alternate hypothesis if it states that the parameter is different from the null hypothesis value
  2. 6. best guess for the value of the unknown parameter
  3. 8. The data come from a well-designed random sample or randomized experiment.
  4. 10. gives an interval of plausible values for a parameter
  5. 12. measures how far a sample statistic diverges from what we would expect if the null hypothesis H0 were true, in standardized units.
  6. 15. the overall success rate of the method for calculating the confidence interval
  7. 17. when the P-value is smaller than alpha
  8. 18. fail to reject the null when the alternate is true
  9. 19. The claim about the population that we are trying to find evidence for
  10. 20. the probability that the test will reject H0 at a chosen significance level a when the specified alternative value of the parameter is true.
Down
  1. 1. if the alternate hypothesis states that a parameter is larger than the null hypothesis value or if it states that the parameter is smaller than the null value
  2. 2. in a t distribution sample size (n) - 1
  3. 3. the result when the standard deviation of a statistic is estimated from data
  4. 5. Both np and n(1 − p) are at least 10.
  5. 7. When sampling without replacement, check that 10n<N
  6. 9. When the population distribution isn’t Normal this is the distribution
  7. 11. reject the null when the null is true
  8. 13. shows how close we believe our guess is, based on the variability of the estimate
  9. 14. the claim we weigh evidence against in a statistical test
  10. 16. 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