Vocabulary Chapters 8 and 9

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Across
  1. 2. the probability that the statistic would take a value as extreme as or more extreme than the one actually observed
  2. 8. a statistic that provides an estimate of a population parameter
  3. 12. describes how far x-bar will be from mu, on average, in simple random samples
  4. 13. the n-1 value used in t distributions
  5. 15. an inference procedure in which the probability calculations involved remain fairly accurate when a condition for using the procedure is violated
  6. 17. the result that comes when the standard deviation of a statistic is estimated from data
  7. 18. the probability that the test will reject the null hypothesis at a chosen significance level when the specified alternative value of the parameter is true
  8. 19. state, plan, do, conclude
Down
  1. 1. the claim tested by a statistical test
  2. 3. factors that must be verified before calculations
  3. 4. when we fail to reject the null hypothesis when the null hypothesis is false
  4. 5. the alternative hypothesis is ________ if it states that a parameter is different from the null hypothesis value (either larger or smaller)
  5. 6. gives the overall success rate of the method for calculating the confidence interval
  6. 7. the claim about the population that we are trying to find evidence for
  7. 9. the measure of how far a sample statistic diverges from what we would expect if the null hypothesis were true
  8. 10. how close the estimate tends to be to the unknown parameter in repeated random sampling
  9. 11. a range of values used to estimate a value of interest
  10. 12. the data is _________ if the p-value is smaller than the significance level (alpha)
  11. 14. when we reject the null hypothesis when the null hypothesis is true
  12. 16. the alternative hypothesis is ________ if it states that a parameter is larger than the null hypothesis value or if it states that the parameter is smaller than the null value