Statistics

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