Chapter 8 & Chapter 9 Vocabulary Terms

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Across
  1. 2. standard deviation of the sampling distribution of the mean
  2. 4. if the parameter is larger than the null value or states that parameter is smaller than null value
  3. 5. probability that the value of a parameter falls within a specified range of values
  4. 7. probability if finding the observed or more extreme results when the null hypothesis is true
  5. 9. a single value given as an estimate of a parameter of a population
  6. 11. the difference between true population parameter and a sample estimate of that parameter
  7. 12. if the p-value is smaller than the alpha
  8. 15. if we reject the null hypothesis when the null hypothesis is true
  9. 16. probability distribution that is used to estimate population parameters when the sample size is small and population std is unknown
  10. 18. a statement of no difference
  11. 20. estimate variability and define t-distribution that calculates the p-values for the test
Down
  1. 1. cut-off values that define regions where the test statistic is likely to lie
  2. 3. if parameter is different from the null value
  3. 6. the claim about a population we are trying to find evidence for
  4. 8. statistic that provides an estimate of a population parameter
  5. 10. estimate of standard deviation
  6. 13. gives an interval of plausible values for a parameter and is calculated by point estimate-margin of error
  7. 14. statistic measures how far a sample statistic diverges from what we should expect if the null hypothesis were true
  8. 17. if we fail to reject the null hypothesis when the alternative hypothesis is true
  9. 19. probability that the test will reject the null at a chosen significance level alpha when specified alternative value of the parameter is true