Chapter 8 & Chapter 9 Vocabulary Terms

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