Chapter 8 and 9 Terms

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Across
  1. 9. states that the parameter is different from the null hypothesis value
  2. 11. the probability that the test will reject the null hypothesis at a chosen significance level alpha when the specified alternative value of the parameter is true
  3. 13. If we reject the null hypothesis when it is in fact true
  4. 17. if the p value is smaller than the alpha
  5. 18. The sample statistic when used to estimate the corresponding population parameter
  6. 19. of freedom A statistical property of a large family of distributions, including the t distribution
  7. 20. The difference between two numbers on the scale
Down
  1. 1. The claim we weigh evidence against in a statistical test.
  2. 2. single value that serves as an estimate of a population parameter
  3. 3. Degree to which the sample is expected to deviate from the population
  4. 4. A statistic providing an estimate of the possible magnitude to error
  5. 5. We fail to reject the null hypothesis when the alternative hypothesis is true
  6. 6. A distribution specified by degrees of freedom used to model test statistics for the one sample t test
  7. 7. The claim about the population that we are trying to find evidence for
  8. 8. States that a parameter is larger than the null hypothesis value or it states that the parameter is smaller than the null value
  9. 10. Measures how far a sample statistic diverges from what we would expect if the null hypothesis were true
  10. 12. Level of confidence that the results found within a study are generalizable to the population and not due to chance
  11. 14. The probability, computed assuming Ho is true, that the statistic would take a value as extreme as or more extreme than the one actually observed
  12. 15. A range of values for a variable of interest
  13. 16. Draw an sis of size n from a population having unknown mean and known standard deviation.