vocabulary chapter 8 & 9

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Across
  1. 2. measures how far a sample statistic diverges from what we would expect if the null hypothesis were true.
  2. 4. Observations from the population have a normal distribution or the sample size is large (n>30)
  3. 5. A statement of no change or no difference
  4. 7. A single number based on sample data (a statistic) that represents a plausible value for that paramter
  5. 10. when the p-value is smaller than the significance level, the data is ________.
  6. 14. When the population is at least 10 times greater than the sample size
  7. 15. We are c% confident that the interval from ___ to ___ captures the actual value of the population parameter
  8. 17. gives the overall success rate of the method for calculating the confidence interval
  9. 18. Is an interval of plausible values for that parameter
  10. 19. occurs if we fail to reject the null hypothesis when it is actually false.
  11. 20. If the probability calculations involved in the procedure remain fairly accurate when a condition for using the procedure is violated
Down
  1. 1. Says that a parameter differs from its null hypothesis value in a specific direction
  2. 3. Assesses the evidence provided by data against a null hypothesis in favor of an alternative hypothesis
  3. 6. probability computed supposing the null hypothesis to be true, that the statistic will take a value at least as extreme as that actually observed in the direction specified by the alternative hypothesis.
  4. 8. If it states that the parameter is different from the null hypothesis value, either larger or smaller.
  5. 9. The range of values above and below the point estimate
  6. 11. When o is known and either the sample size n is large or the population distribution is normal
  7. 12. Is the success rate of the method used to construct the confidence interval
  8. 13. occurs if we reject the null hypothesis when it is in fact true.
  9. 16. measures the ability of the test to detect an alternative value of the parameter.