Statistics A Gentle Introduction 3rd Edition By Coolidge – Test Bank

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Sample Questions Posted Below

 

 

 

 

 

 

Chapter 5 Test Questions

  1. Which of the following is true about correlational designs?
  2. Finding a relationship between two variables does not mean that one causes the other but could give clues to set up experiments where causality may be determined.
  3. Finding a relationship between two variables NEVER means that one causes the other.
  4. Correlational designs are not very common.
  5. Correlational designs are more powerful than a controlled experiment.
  6. A dependent variable in an experiment can be likened to the ___________ in the signal-to-noise ratio.
  7. signal
  8. to
  9. noise
  10. ratio
  11. The difference between two means in a controlled experiment that is just attributed to chance or random error is called ___________ in the signal-to-noise ratio.
  12. signal
  13. to
  14. noise
  15. ratio
  16. Which of the following is a Type I error?
  17. rejecting H0 when H0 is false
  18. rejecting H0 when H0 is true
  19. not rejecting H0 when H0 is true
  20. not rejecting H0 when H0 is false
  21. Because it is said in science “one experiment does not prove anything,” statisticians rely on ___________ to test the usefulness of theories.
  22. a controlled experiment
  23. at least two experiments
  24. parametric and nonparametric tests
  25. replication
  26. The probability of committing the Type I error is also called ___________.
  27. alpha
  28. beta
  29. delta
  30. omega
  31. The probability of committing the Type II error is also called ___________.
  32. alpha
  33. beta
  34. delta
  35. omega
  36. The minimum conventional level of statistical significance is ___________.
  37. .01
  38. .05
  39. .10
  40. .50
  41. When findings in an experiment do not reach the conventional level of statistical significance, they are reported to be ___________.
  42. nonsignificant
  43. insignificant
  44. significant
  45. unworthy
  46. A trend in the data means that the experimenter
  47. rejected the null hypothesis at p < .05
  48. rejected the null hypothesis at p < .01
  49. did not reject the null hypothesis but came close to doing so
  50. none of the above
  51. In the section “Trends, and Does God Really Love the .05 Level of Significance More Than the .06 Level?” Rosnow and Rosenthal have argued that the strength of evidence for or against a null hypothesis should be a fairly continuous function of the size of
  52. p (the significance level)
  53. beta
  54. the sample size
  55. the size of the standard deviations for each group
  56. If a magician claims that he can bend spoons with his mind, what did Carl Sagan propose to test the claim?
  57. a lie detector test
  58. the baloney detection kit
  59. the salami detection kit
  60. the Atkins detection kit
  61. In the section “Can Statistics Solve Every Problem?” your course author argues
  62. yes
  63. no
  64. In the classic two-group controlled experiment, what parameter is of central interest between the two groups?
  65. the means
  66. the standard deviations
  67. the sample size
  68. the median
  69. Which of the following is more likely to end up being too sensitive to chance differences?
  70. a nondirectional alternative hypothesis
  71. a directional alternative hypothesis
  72. a nondirectional research hypothesis
  73. all of the above

Chapter 5: Inferential Statistics

  1. Finding a relationship between two variables does not mean that one causes the other but could give clues to set up experiments where causality may be determined.
  2. signal
  3. noise
  4. rejecting H0 when H0 is true
  5. replication
  6. alpha
  7. beta
  8. .05
  9. nonsignificant
  10. did not reject the null hypothesis but came close to doing so
  11. p (the significance level)
  12. the baloney detection kit
  13. no
  14. the means
  15. a directional alternative hypothesis

 

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