Chapters 8 & 9 Statistics

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Across
  1. 1. measures how far a sample statistic diverges from what we would expect if the null was true
  2. 4. the result when the standard deviation of a statistic is estimated from data
  3. 6. it states that the parameter is different from the null hypothesis value
  4. 7. if we reject the null hypothesis when it is in fact true
  5. 10. success rate of the method for calculating the confidence interval
  6. 11. the difference between the point estimate and the true parameter value
  7. 12. family of curves determined by degree of freedom
  8. 13. the chosen statistic for a parameter
  9. 14. the claim about the population that we are trying to find evidence for
  10. 15. gives an interval of plausible values for a parameter
  11. 17. another name for the confidence interval
  12. 19. the probability that the statistic would take a value as extreme as or more extreme than the one actually observed
Down
  1. 2. a formal procedure for using observed data to decide between two competing claims
  2. 3. it states that a parameter is larger than the null hypothesis value or states that the parameter is smaller than the null value
  3. 5. the probability that the test will reject the null at a chosen significance level alpha when the specified alternative value of the parameter is true
  4. 6. we fail to reject the null hypothesis when the alternative hypothesis is true
  5. 8. value of that statistic from a sample
  6. 9. when conditions are met and a C% confidence interval for the mean mean is given
  7. 16. multiplier that makes the interval wide enough to have the stated capture rate
  8. 18. claim we weigh evidence against in a statistical test