Chapter 8 and Chapter 9 AP Stats Crossword Bonanza

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Across
  1. 2. A distribution similar to that of a normal distribution but with an additional parameter that changes its shape
  2. 4. The statistic that helps us determine whether our original hypothesis is true
  3. 5. The alternative hypothesis is either larger than the null value or smaller than the null value
  4. 6. The original hypothesis which we are attempting to disprove
  5. 7. the probability that the value of a true parameter falls within a specified range of values
  6. 11. The claim that we are attempting to find evidence for
  7. 15. is the number of values in the final calculation of a statistic that can vary
  8. 17. the value of the point estimator statistic from a sample
  9. 18. The best AP stats teacher of all time who spits straight fire
  10. 19. The alternative hypothesis is simply different than the null value
  11. 20. a description of an inference procedure if the probability calculations involved in the procedure remain fairly accurate when a condition for using the procedures is violated
  12. 21. The probability that we will reject the null hypothesis at the given alpha level value
Down
  1. 1. a range of values so defined that there is a specified probability that the true value of a parameter lies within it
  2. 3. Tests that indicate whether observed differences between sample results occur because of sampling error or chance
  3. 8. The results that come when the standard deviation of a statistic is estimated from specific data
  4. 9. a value found under a t or normal distribution that is necessary to determine margin of error
  5. 10. a statistic that provides an estimate of a population parameter
  6. 12. We fail to reject the null hypothesis when it is false
  7. 13. When the P-Value is smaller than or equal to this, we reject the null hypothesis
  8. 14. the maximum expected difference between the true population parameter and a sample estimate of that parameter
  9. 16. We reject the null hypothesis when it is true
  10. 17. The probability that you will get a value of the sample or a value more extreme given that the null value is true