{"id":698,"date":"2021-08-24T11:18:31","date_gmt":"2021-08-24T15:18:31","guid":{"rendered":"https:\/\/pressbooks.bccampus.ca\/statspsych\/?post_type=chapter&p=698"},"modified":"2021-09-01T11:03:01","modified_gmt":"2021-09-01T15:03:01","slug":"homework-chapter-6","status":"publish","type":"chapter","link":"https:\/\/pressbooks.bccampus.ca\/statspsych\/chapter\/homework-chapter-6\/","title":{"raw":"Homework Chapter 6","rendered":"Homework Chapter 6"},"content":{"raw":"Assignment:<\/strong>\r\n\r\nObjective: Apply concepts Repeated Measures Design<\/em>\r\n
    \r\n \t
  1. A researcher is contemplating various ways to design their study examining the effects of irrigation on crop yield. The first possible design would be to take a sample of yields from plots with a standard irrigation system and compare them to the known yield from plots without irrigation in the same region. Another would be to sample irrigated and non-irrigation crop yields from various regions and compare them, ensuring the plots are matched on the variable of region. A final option would be to sample crop yields from the same plots first before and then after installation of a standard irrigation system and compare the yields prior to irrigation to those following irrigation. The research design that would best represent repeated measures design is ______________.<\/li>\r\n<\/ol>\r\n\u00a0<\/em>\r\n\r\nObjective: Apply techniques Conducting a Dependent Means t-test<\/em>\r\n
      \r\n \t
    1. A researcher predicts crop yields sampled from the same plots first before and then after installation of a standard irrigation system will differ. The scores for the research samples before and after irrigation are presented in the table below, in units (bushels per hectare; N<\/em>=28). Conduct a hypothesis test of the researcher\u2019s prediction with significance level .10. The populations should be defined as ______________.<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
      Plot<\/td>\r\nBefore irrigation<\/td>\r\nAfter irrigation<\/td>\r\n<\/tr>\r\n
      1<\/em><\/td>\r\n163<\/td>\r\n208<\/td>\r\n<\/tr>\r\n
      2<\/em><\/td>\r\n131<\/td>\r\n198<\/td>\r\n<\/tr>\r\n
      3<\/em><\/td>\r\n160<\/td>\r\n208<\/td>\r\n<\/tr>\r\n
      4<\/em><\/td>\r\n183<\/td>\r\n198<\/td>\r\n<\/tr>\r\n
      5<\/em><\/td>\r\n168<\/td>\r\n186<\/td>\r\n<\/tr>\r\n
      6<\/em><\/td>\r\n135<\/td>\r\n177<\/td>\r\n<\/tr>\r\n
      7<\/em><\/td>\r\n179<\/td>\r\n173<\/td>\r\n<\/tr>\r\n
      8<\/em><\/td>\r\n143<\/td>\r\n203<\/td>\r\n<\/tr>\r\n
      9<\/em><\/td>\r\n161<\/td>\r\n203<\/td>\r\n<\/tr>\r\n
      10<\/em><\/td>\r\n154<\/td>\r\n192<\/td>\r\n<\/tr>\r\n
      11<\/em><\/td>\r\n162<\/td>\r\n186<\/td>\r\n<\/tr>\r\n
      12<\/em><\/td>\r\n163<\/td>\r\n185<\/td>\r\n<\/tr>\r\n
      13<\/em><\/td>\r\n166<\/td>\r\n176<\/td>\r\n<\/tr>\r\n
      14<\/em><\/td>\r\n181<\/td>\r\n184<\/td>\r\n<\/tr>\r\n
      15<\/em><\/td>\r\n132<\/td>\r\n199<\/td>\r\n<\/tr>\r\n
      16<\/em><\/td>\r\n149<\/td>\r\n197<\/td>\r\n<\/tr>\r\n
      17<\/em><\/td>\r\n169<\/td>\r\n199<\/td>\r\n<\/tr>\r\n
      18<\/em><\/td>\r\n148<\/td>\r\n202<\/td>\r\n<\/tr>\r\n
      19<\/em><\/td>\r\n169<\/td>\r\n188<\/td>\r\n<\/tr>\r\n
      20<\/em><\/td>\r\n158<\/td>\r\n200<\/td>\r\n<\/tr>\r\n
      21<\/em><\/td>\r\n143<\/td>\r\n201<\/td>\r\n<\/tr>\r\n
      22<\/em><\/td>\r\n150<\/td>\r\n191<\/td>\r\n<\/tr>\r\n
      23<\/em><\/td>\r\n178<\/td>\r\n194<\/td>\r\n<\/tr>\r\n
      24<\/em><\/td>\r\n147<\/td>\r\n185<\/td>\r\n<\/tr>\r\n
      25<\/em><\/td>\r\n170<\/td>\r\n202<\/td>\r\n<\/tr>\r\n
      26<\/em><\/td>\r\n171<\/td>\r\n178<\/td>\r\n<\/tr>\r\n
      27<\/em><\/td>\r\n169<\/td>\r\n212<\/td>\r\n<\/tr>\r\n
      28<\/em><\/td>\r\n180<\/td>\r\n180<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n \r\n
        \r\n \t
      1. For the research scenario described in problem 2, the hypotheses should be defined as ______________.<\/li>\r\n \t
      2. For the research scenario described in problem 2, the characteristics of the comparison distribution should be defined as ______________.<\/li>\r\n \t
      3. For the research scenario described in problem 2, the cutoff t score should be ______________.<\/li>\r\n \t
      4. For the research scenario described in problem 2, the calculated t-test result should be ______________.<\/li>\r\n \t
      5. For the research scenario described in problem 2, the hypothesis test decision should be ______________.<\/li>\r\n \t
      6. For the research scenario described in problem 2, the p-value associated with the t-test result is _____________.<\/li>\r\n \t
      7. For the research scenario described in problem 2, the conclusion as written in a published results section could be ______________.<\/li>\r\n<\/ol>\r\n\u00a0<\/em>\r\n\r\nObjective: Apply concepts<\/em> Decision Tree<\/em>\r\n
          \r\n \t
        1. The dependent means t-test is appropriate to use when ______________.<\/li>\r\n<\/ol>","rendered":"

          Assignment:<\/strong><\/p>\n

          Objective: Apply concepts Repeated Measures Design<\/em><\/p>\n

            \n
          1. A researcher is contemplating various ways to design their study examining the effects of irrigation on crop yield. The first possible design would be to take a sample of yields from plots with a standard irrigation system and compare them to the known yield from plots without irrigation in the same region. Another would be to sample irrigated and non-irrigation crop yields from various regions and compare them, ensuring the plots are matched on the variable of region. A final option would be to sample crop yields from the same plots first before and then after installation of a standard irrigation system and compare the yields prior to irrigation to those following irrigation. The research design that would best represent repeated measures design is ______________.<\/li>\n<\/ol>\n

            \u00a0<\/em><\/p>\n

            Objective: Apply techniques Conducting a Dependent Means t-test<\/em><\/p>\n

              \n
            1. A researcher predicts crop yields sampled from the same plots first before and then after installation of a standard irrigation system will differ. The scores for the research samples before and after irrigation are presented in the table below, in units (bushels per hectare; N<\/em>=28). Conduct a hypothesis test of the researcher\u2019s prediction with significance level .10. The populations should be defined as ______________.<\/li>\n<\/ol>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
              Plot<\/td>\nBefore irrigation<\/td>\nAfter irrigation<\/td>\n<\/tr>\n
              1<\/em><\/td>\n163<\/td>\n208<\/td>\n<\/tr>\n
              2<\/em><\/td>\n131<\/td>\n198<\/td>\n<\/tr>\n
              3<\/em><\/td>\n160<\/td>\n208<\/td>\n<\/tr>\n
              4<\/em><\/td>\n183<\/td>\n198<\/td>\n<\/tr>\n
              5<\/em><\/td>\n168<\/td>\n186<\/td>\n<\/tr>\n
              6<\/em><\/td>\n135<\/td>\n177<\/td>\n<\/tr>\n
              7<\/em><\/td>\n179<\/td>\n173<\/td>\n<\/tr>\n
              8<\/em><\/td>\n143<\/td>\n203<\/td>\n<\/tr>\n
              9<\/em><\/td>\n161<\/td>\n203<\/td>\n<\/tr>\n
              10<\/em><\/td>\n154<\/td>\n192<\/td>\n<\/tr>\n
              11<\/em><\/td>\n162<\/td>\n186<\/td>\n<\/tr>\n
              12<\/em><\/td>\n163<\/td>\n185<\/td>\n<\/tr>\n
              13<\/em><\/td>\n166<\/td>\n176<\/td>\n<\/tr>\n
              14<\/em><\/td>\n181<\/td>\n184<\/td>\n<\/tr>\n
              15<\/em><\/td>\n132<\/td>\n199<\/td>\n<\/tr>\n
              16<\/em><\/td>\n149<\/td>\n197<\/td>\n<\/tr>\n
              17<\/em><\/td>\n169<\/td>\n199<\/td>\n<\/tr>\n
              18<\/em><\/td>\n148<\/td>\n202<\/td>\n<\/tr>\n
              19<\/em><\/td>\n169<\/td>\n188<\/td>\n<\/tr>\n
              20<\/em><\/td>\n158<\/td>\n200<\/td>\n<\/tr>\n
              21<\/em><\/td>\n143<\/td>\n201<\/td>\n<\/tr>\n
              22<\/em><\/td>\n150<\/td>\n191<\/td>\n<\/tr>\n
              23<\/em><\/td>\n178<\/td>\n194<\/td>\n<\/tr>\n
              24<\/em><\/td>\n147<\/td>\n185<\/td>\n<\/tr>\n
              25<\/em><\/td>\n170<\/td>\n202<\/td>\n<\/tr>\n
              26<\/em><\/td>\n171<\/td>\n178<\/td>\n<\/tr>\n
              27<\/em><\/td>\n169<\/td>\n212<\/td>\n<\/tr>\n
              28<\/em><\/td>\n180<\/td>\n180<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

               <\/p>\n

                \n
              1. For the research scenario described in problem 2, the hypotheses should be defined as ______________.<\/li>\n
              2. For the research scenario described in problem 2, the characteristics of the comparison distribution should be defined as ______________.<\/li>\n
              3. For the research scenario described in problem 2, the cutoff t score should be ______________.<\/li>\n
              4. For the research scenario described in problem 2, the calculated t-test result should be ______________.<\/li>\n
              5. For the research scenario described in problem 2, the hypothesis test decision should be ______________.<\/li>\n
              6. For the research scenario described in problem 2, the p-value associated with the t-test result is _____________.<\/li>\n
              7. For the research scenario described in problem 2, the conclusion as written in a published results section could be ______________.<\/li>\n<\/ol>\n

                \u00a0<\/em><\/p>\n

                Objective: Apply concepts<\/em> Decision Tree<\/em><\/p>\n

                  \n
                1. The dependent means t-test is appropriate to use when ______________.<\/li>\n<\/ol>\n","protected":false},"author":1394,"menu_order":6,"template":"","meta":{"pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[48],"contributor":[],"license":[],"class_list":["post-698","chapter","type-chapter","status-publish","hentry","chapter-type-numberless"],"part":677,"_links":{"self":[{"href":"https:\/\/pressbooks.bccampus.ca\/statspsych\/wp-json\/pressbooks\/v2\/chapters\/698","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pressbooks.bccampus.ca\/statspsych\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/pressbooks.bccampus.ca\/statspsych\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/pressbooks.bccampus.ca\/statspsych\/wp-json\/wp\/v2\/users\/1394"}],"version-history":[{"count":2,"href":"https:\/\/pressbooks.bccampus.ca\/statspsych\/wp-json\/pressbooks\/v2\/chapters\/698\/revisions"}],"predecessor-version":[{"id":700,"href":"https:\/\/pressbooks.bccampus.ca\/statspsych\/wp-json\/pressbooks\/v2\/chapters\/698\/revisions\/700"}],"part":[{"href":"https:\/\/pressbooks.bccampus.ca\/statspsych\/wp-json\/pressbooks\/v2\/parts\/677"}],"metadata":[{"href":"https:\/\/pressbooks.bccampus.ca\/statspsych\/wp-json\/pressbooks\/v2\/chapters\/698\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/pressbooks.bccampus.ca\/statspsych\/wp-json\/wp\/v2\/media?parent=698"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/pressbooks.bccampus.ca\/statspsych\/wp-json\/pressbooks\/v2\/chapter-type?post=698"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/pressbooks.bccampus.ca\/statspsych\/wp-json\/wp\/v2\/contributor?post=698"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/pressbooks.bccampus.ca\/statspsych\/wp-json\/wp\/v2\/license?post=698"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}