Question: atch each term to its definition. - A. B. C. D. E. F. G. H. I. J. K. L. M. N. O. A sampling method

  1. atch each term to its definition.
  2. -
  3. A.
  4. B.
  5. C.
  6. D.
  7. E.
  8. F.
  9. G.
  10. H.
  11. I.
  12. J.
  13. K.
  14. L.
  15. M.
  16. N.
  17. O.
  18. A sampling method in which the population is broken in groups that are similar. A random sample of these groups are selected, and all individuals in each of the selected groups are selected.
  19. -
  20. A.
  21. B.
  22. C.
  23. D.
  24. E.
  25. F.
  26. G.
  27. H.
  28. I.
  29. J.
  30. K.
  31. L.
  32. M.
  33. N.
  34. O.
  35. A type of a quantitative variable that can take on any value from an interval.
  36. -
  37. A.
  38. B.
  39. C.
  40. D.
  41. E.
  42. F.
  43. G.
  44. H.
  45. I.
  46. J.
  47. K.
  48. L.
  49. M.
  50. N.
  51. O.
  52. A type of a quantitative variable whose possible values can be listed.
  53. -
  54. A.
  55. B.
  56. C.
  57. D.
  58. E.
  59. F.
  60. G.
  61. H.
  62. I.
  63. J.
  64. K.
  65. L.
  66. M.
  67. N.
  68. O.
  69. A study in which the investigator assigns the treatments to the experimental units.
  70. -
  71. A.
  72. B.
  73. C.
  74. D.
  75. E.
  76. F.
  77. G.
  78. H.
  79. I.
  80. J.
  81. K.
  82. L.
  83. M.
  84. N.
  85. O.
  86. A type of a qualitative variable whose values do not have a natural ordering.
  87. -
  88. A.
  89. B.
  90. C.
  91. D.
  92. E.
  93. F.
  94. G.
  95. H.
  96. I.
  97. J.
  98. K.
  99. L.
  100. M.
  101. N.
  102. O.
  103. A study in which the assignment to treatment groups is not made by the investigator.
  104. -
  105. A.
  106. B.
  107. C.
  108. D.
  109. E.
  110. F.
  111. G.
  112. H.
  113. I.
  114. J.
  115. K.
  116. L.
  117. M.
  118. N.
  119. O.
  120. A number that describes a population.
  121. -
  122. A.
  123. B.
  124. C.
  125. D.
  126. E.
  127. F.
  128. G.
  129. H.
  130. I.
  131. J.
  132. K.
  133. L.
  134. M.
  135. N.
  136. O.
  137. A subset of the population, containing the individuals actually observed.
  138. -
  139. A.
  140. B.
  141. C.
  142. D.
  143. E.
  144. F.
  145. G.
  146. H.
  147. I.
  148. J.
  149. K.
  150. L.
  151. M.
  152. N.
  153. O.
  154. A number that describes a sample.
  155. -
  156. A.
  157. B.
  158. C.
  159. D.
  160. E.
  161. F.
  162. G.
  163. H.
  164. I.
  165. J.
  166. K.
  167. L.
  168. M.
  169. N.
  170. O.
  171. A sampling method in which the individuals select themselves to be included in the sample.
  172. A.Nominal
  173. B.Continuous
  174. C.Simple Random Sample
  175. D.Statistic
  176. E.Parameter
  177. F.Stratified Sample
  178. G.Voluntary Response Sample
  179. H.Convenience Sampling
  180. I.Population
  181. J.Cluster Sampling
  182. K.Discrete
  183. L.Observational Study
  184. M.Experiment
  185. N.Ordinal
  186. O.Sample

10 points

QUESTION 2

  1. A company is interested in the opinion of their employees on a new paid time off (PTO) system that will be implemented into an updated benefits package. The workforce at the company is 75% full-time and 25% part-time. A random sample of 150 full-time employees and 50 part-time employees is selected to make an aggregate sample of 200 employees. This is an example of what type of sampling method?
  2. Voluntary Response Sampling
  3. Cluster Sampling
  4. Convenience Sampling
  5. Stratified Sampling

2 points

QUESTION 3

  1. When studying the effects of smoking on child birth weight, a sample of 20 expectant mothers was taken, and the smoking status of the mother (smoking/non-smoking) and the birth weight of their child was observed. The variable of birth weight in this study would be the
  2. Population
  3. Explanatory Variable
  4. Response Variable
  5. Statistic

During the 2016 presidential election, many people were surprised by Donald Trump's win based on polls leading up to the election. Some analyses of polls after the election determined that individuals were hesitant to voice their support of Donald Trump based on a fear of being viewed in an undesirable light. This is an example of

Leading Question Bias

Social Acceptability Bias

Sampling Bias

Voluntary Response Bia

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