Chapters 8 and 9 Vocabulary

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