Chapter 8 & 9 Vocabulary

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Across
  1. 3. the data come from a well designed random sample or randomized experiment
  2. 5. statement of "no difference"
  3. 7. helps you determine the significance of your results
  4. 8. be sure to check this condition before calculating a confidence interval;
  5. 9. value of statistic from a sample
  6. 10. is incorrectly retaining a false null hypothesis ("a false negative")
  7. 14. the condition that is crucial for doing reference
  8. 17. gives overall success rate of a method for calculating the confidence interval
  9. 18. the probability that the test will reject Ho at a chosen significance level when the specified alternative value of the parameter is true
  10. 19. is the incorrect rejection of a true null hypothesis ("a false positive")
  11. 20. the claim about the population that we are trying to find evidence for
Down
  1. 1. is a point on the test distribution that is compared to the test statistic to determine whether to reject the null hypothesis
  2. 2. measure how far a sample statistic diverges from what we would expect if the null hypothesis were true
  3. 4. if it states that the parameter is different from the null hypothesis value
  4. 6. if the p-value is smaller than alpha
  5. 11. if it states that a parameters larger than the null hypothesis value
  6. 12. gives interval of plausible values for a parameter
  7. 13. an amount that is allowed for in case of miscalculation or change of circumstances
  8. 15. statistic that provides estimate of the population
  9. 16. result of the standard deviation of a statistic is estimated from the data