Vocab Chapters 8/9

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Across
  1. 2. The set of outcomes of an experiment that will lead to rejection of H0
  2. 8. states that the parameter is different from the null hypothesis value (it could be either larger or smaller).
  3. 9. The distribution of sample means over repeated sampling from one population
  4. 10. if we reject the null hypothesis when it is in fact true
  5. 12. measures how far a sample statistic diverges from what we would expect if the null hypothesis were true
  6. 13. The standard deviation of a sampling distribution
  7. 16. States that a parameter is larger than the null hypothesis value or if it states that the parameter is smaller than the null value.
  8. 18. The probability with which we are willing to reject H0 when it is, in fact, correct
  9. 19. The claim we weigh evidence against in a statistical test. Often a statement of "no difference."
  10. 20. The probability, computed assuming Ho is true, that the statistic (such as p-hat or x-bar) would take a value as extreme as or more extreme than the one actually observed, in the direction specified by Ha.
Down
  1. 1. The claim about the population that we are trying to find evidence for.
  2. 3. A procedure for making logical decisions on the basis of sample data
  3. 4. Statistics calculated from a sample and used primarily to describe a sample
  4. 5. A process by which decisions are made concerning the value of parameters
  5. 6. if the p-value is smaller than the alpha.
  6. 7. The variability of a statistic over repeated sampling from a specified population
  7. 11. the probability that the test will reject the null hypothesis at a chosen significance level alpha when the specified alternative value of the parameter is true
  8. 14. we fail to reject the null hypothesis when the alternative hypothesis is true
  9. 15. The value of a test statistic at or beyond which we will reject H0
  10. 17. probability of a Type I error