{"id":5327,"date":"2022-08-19T19:35:21","date_gmt":"2022-08-19T19:35:21","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/?post_type=chapter&p=5327"},"modified":"2022-08-19T19:36:16","modified_gmt":"2022-08-19T19:36:16","slug":"11b-in-class-activity","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/chapter\/11b-in-class-activity\/","title":{"raw":"11B In-Class Activity","rendered":"11B In-Class Activity"},"content":{"raw":"Bottled water companies spend huge sums of money to market their products, touting\u00a0\u00a0their purity, rejuvenating minerals, and\u00a0\u00a0superior taste.\r\n\r\nAt the same time, environmentalists are\u00a0\u00a0concerned about the impact of all those\u00a0\u00a0plastic bottles, many of which are not\u00a0\u00a0recycled. Why does bottled water remain so\u00a0\u00a0popular? Do consumers actually prefer the\u00a0\u00a0taste of bottled water or are there other\u00a0\u00a0factors at play?\r\n
\r\n

Question 1<\/h3>\r\nHow would you design a study to test whether consumers prefer the taste of bottled water or tap water?\r\n\r\n<\/div>\r\n
\r\n

Question 2<\/h3>\r\nYou conduct a taste test to investigate whether consumers prefer the taste of bottled\u00a0 water or tap water.\r\n
    \r\n \t
  1. State the null and alternative hypotheses in words.<\/li>\r\n \t
  2. State the null and alternative hypotheses in terms of the proportion of\u00a0 consumers who prefer bottled water.<\/li>\r\n<\/ol>\r\n<\/div>\r\n
    \r\n

    Question 3<\/h3>\r\nConsider the following four datasets that might have resulted from this taste test.\r\n\r\n \r\n
      \r\n \t
    1. Which of the two taste tests that follow provides more evidence of a preference for bottled water or tap water?\r\n
      \r\n\r\n\r\n\r\n\r\n\r\n
      <\/td>\r\nResults<\/td>\r\n<\/tr>\r\n
      Taste Test A<\/td>\r\n30 people participate.\r\n\r\n17 prefer bottled water.<\/td>\r\n<\/tr>\r\n
      Taste Test B<\/td>\r\n30 people participate.\r\n\r\n21 prefer bottled water.<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div><\/li>\r\n \t
    2. Which of the two taste tests that follow provides more evidence of a preference for bottled water or tap water?\r\n
      \r\n\r\n\r\n\r\n\r\n\r\n
      <\/td>\r\nResults<\/td>\r\n<\/tr>\r\n
      Taste Test C<\/td>\r\n50 people participate.\r\n\r\n22 prefer bottled water.<\/td>\r\n<\/tr>\r\n
      Taste Test D<\/td>\r\n100 people participate,\r\n\r\n44 prefer bottled water.<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div><\/li>\r\n \t
    3. Which of the two taste tests that follow provides more evidence of a preference for bottled water or tap water?\r\nHint: It may help to calculate the sample proportions and then locate those values on the appropriate sampling distributions given on the next page.\r\n
      \r\n\r\n\r\n\r\n\r\n\r\n
      <\/td>\r\nResults<\/td>\r\n<\/tr>\r\n
      Taste Test B<\/td>\r\n30 people participate.\r\n\r\n21 prefer bottled water.<\/td>\r\n<\/tr>\r\n
      Taste Test D<\/td>\r\n100 people participate.\r\n\r\n44 prefer bottled water.<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div><\/li>\r\n<\/ol>\r\n<\/div>\r\nThe following graphs are sampling distributions that show the proportion we would expect to choose bottled water in the sample if there was no preference in the population.\r\n
      \r\n\r\n\r\n\r\n\r\n
      Sample size = 30\r\n\r\nStandard error of [latex] \\hat{p}[\/latex]= 0.091<\/td>\r\n\"\"<\/td>\r\n<\/tr>\r\n
      Sample size = 100\r\n\r\nStandard error of [latex] \\hat{p}[\/latex]= 0.050<\/td>\r\n\"\"<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n
      \r\n

      Question 4<\/h3>\r\nA test statistic measures the distance between the sample statistic and the null\u00a0 hypothesis value in terms of the standard error of the statistic.\r\n\r\n[latex] test~statistic = \\frac{sample~statistic - null~hypothesis~value}{standard~error~of~the~statistic}[\/latex]\r\n\r\nWhen the sample statistic is a proportion like it is in this example (bottled\/tap), the\u00a0 test statistic is also called a z-statistic.\r\n
        \r\n \t
      1. Calculate the test statistic for each taste test.\r\n\r\n\r\n\r\n\r\n\r\n
        Study<\/td>\r\nResults<\/td>\r\n[latex]\\hat{p} [\/latex]<\/td>\r\nTest Statistic<\/td>\r\n<\/tr>\r\n
        Taste Test B<\/td>\r\n30 people participate.\r\n\r\n21 prefer bottled water.<\/td>\r\n[latex] \\frac{21}{30}=0.7 [\/latex]<\/td>\r\n<\/td>\r\n<\/tr>\r\n
        Taste Test D<\/td>\r\n100 people participate.\u00a0 44 prefer bottled water.<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/li>\r\n \t
      2. Write a sentence to interpret the test statistic for Taste Test B and Taste Test\u00a0 D.<\/li>\r\n \t
      3. Write a sentence to describe how the test statistic and the evidence against\u00a0 the null hypothesis are related to each other.<\/li>\r\n<\/ol>\r\n<\/div>\r\nAssuming the sample size is large enough, we can use the normal distribution to model the values of the sample proportion that would occur if the null hypothesis is true. In In-Class Activity 9.C, you learned that the sample size is considered \u201clarge enough\u201d when the following condition is met:\r\n\r\n[latex] np \\geq 10, n(1-p) \\geq 10 [\/latex]\r\n\r\nSince the normal distribution is being used to model the values of the sample proportion that would occur if the null hypothesis is true, we can check the condition by replacing\u00a0[latex] p [\/latex] with the value from the null hypothesis ([latex] p = 0.5 [\/latex] in the bottled water taste test example).\r\n\r\nThe following graph shows the null distribution for a sample size of 100 (standard error = 0.05). Note that the mean of the null distribution is 0.5\u2014the value from the null hypothesis in the bottled water taste test.\r\n
        \r\n

        Question 5<\/h3>\r\nLet\u2019s think about the values of the test statistic that would occur if the null hypothesis is true.\r\n\r\n\"\"\r\n
          \r\n \t
        1. Identify the value of the test statistic for each numerical value marked on the\u00a0 x-axis of the normal distribution above. Write the values below the x-axis.<\/li>\r\n \t
        2. If the sample proportion was equal to the null hypothesis value (0.5), the test\u00a0 statistic would take a value of ____.<\/li>\r\n \t
        3. If the sample proportion had a value that was one standard error above the\u00a0 null hypothesis value (0.55), the test statistic would take a value of ____.<\/li>\r\n<\/ol>\r\n<\/div>\r\n
          \r\n

          Question 6<\/h3>\r\nA taste test was conducted with a group of statistics students in Florida. Out of the 22 students who participated, 20 preferred the taste of bottled water.\r\n
            \r\n \t
          1. Before you calculate anything, make predictions about the z-statistic. Do you\u00a0 think the value will be positive or negative? Do you think the value will be far\u00a0 from 0 or close to 0?<\/li>\r\n \t
          2. When the sample size is 22, the standard error is 0.107. Why is this standard\u00a0 error larger than the standard error for Taste Tests B and D?<\/li>\r\n \t
          3. Calculate the test statistic for this sample.<\/li>\r\n \t
          4. Is it reasonable to use a normal distribution with a mean of 0 and a standard\u00a0 deviation of 1 to model the distribution of the test statistic that would occur if\u00a0 the null hypothesis is true?\r\nHint: Check the sample size condition.<\/li>\r\n \t
          5. Is the null hypothesis (no preference for bottled water or tap water) a\u00a0 plausible explanation for these data? Explain.<\/li>\r\n \t
          6. Do you think it is safe to generalize these results to other parts of the\u00a0 country? Explain.<\/li>\r\n<\/ol>\r\n<\/div>\r\n \r\n\r\n \r\n\r\n ","rendered":"

            Bottled water companies spend huge sums of money to market their products, touting\u00a0\u00a0their purity, rejuvenating minerals, and\u00a0\u00a0superior taste.<\/p>\n

            At the same time, environmentalists are\u00a0\u00a0concerned about the impact of all those\u00a0\u00a0plastic bottles, many of which are not\u00a0\u00a0recycled. Why does bottled water remain so\u00a0\u00a0popular? Do consumers actually prefer the\u00a0\u00a0taste of bottled water or are there other\u00a0\u00a0factors at play?<\/p>\n

            \n

            Question 1<\/h3>\n

            How would you design a study to test whether consumers prefer the taste of bottled water or tap water?<\/p>\n<\/div>\n

            \n

            Question 2<\/h3>\n

            You conduct a taste test to investigate whether consumers prefer the taste of bottled\u00a0 water or tap water.<\/p>\n

              \n
            1. State the null and alternative hypotheses in words.<\/li>\n
            2. State the null and alternative hypotheses in terms of the proportion of\u00a0 consumers who prefer bottled water.<\/li>\n<\/ol>\n<\/div>\n
              \n

              Question 3<\/h3>\n

              Consider the following four datasets that might have resulted from this taste test.<\/p>\n

               <\/p>\n

                \n
              1. Which of the two taste tests that follow provides more evidence of a preference for bottled water or tap water?\n
                \n\n\n\n\n\n
                <\/td>\nResults<\/td>\n<\/tr>\n
                Taste Test A<\/td>\n30 people participate.<\/p>\n

                17 prefer bottled water.<\/td>\n<\/tr>\n

                Taste Test B<\/td>\n30 people participate.<\/p>\n

                21 prefer bottled water.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/li>\n

              2. Which of the two taste tests that follow provides more evidence of a preference for bottled water or tap water?\n
                \n\n\n\n\n\n
                <\/td>\nResults<\/td>\n<\/tr>\n
                Taste Test C<\/td>\n50 people participate.<\/p>\n

                22 prefer bottled water.<\/td>\n<\/tr>\n

                Taste Test D<\/td>\n100 people participate,<\/p>\n

                44 prefer bottled water.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/li>\n

              3. Which of the two taste tests that follow provides more evidence of a preference for bottled water or tap water?
                \nHint: It may help to calculate the sample proportions and then locate those values on the appropriate sampling distributions given on the next page.<\/p>\n
                \n\n\n\n\n\n
                <\/td>\nResults<\/td>\n<\/tr>\n
                Taste Test B<\/td>\n30 people participate.<\/p>\n

                21 prefer bottled water.<\/td>\n<\/tr>\n

                Taste Test D<\/td>\n100 people participate.<\/p>\n

                44 prefer bottled water.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/li>\n<\/ol>\n<\/div>\n

                The following graphs are sampling distributions that show the proportion we would expect to choose bottled water in the sample if there was no preference in the population.<\/p>\n

                \n\n\n\n\n
                Sample size = 30<\/p>\n

                Standard error of [latex]\\hat{p}[\/latex]= 0.091<\/td>\n

                		\"\"<\/td>\n<\/tr>\n
                Sample size = 100<\/p>\n

                Standard error of [latex]\\hat{p}[\/latex]= 0.050<\/td>\n

                		\"\"<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
                \n

                Question 4<\/h3>\n

                A test statistic measures the distance between the sample statistic and the null\u00a0 hypothesis value in terms of the standard error of the statistic.<\/p>\n

                [latex]test~statistic = \\frac{sample~statistic - null~hypothesis~value}{standard~error~of~the~statistic}[\/latex]<\/p>\n

                When the sample statistic is a proportion like it is in this example (bottled\/tap), the\u00a0 test statistic is also called a z-statistic.<\/p>\n

                  \n
                1. Calculate the test statistic for each taste test.
                  \n\n\n\n\n\n
                  Study<\/td>\nResults<\/td>\n[latex]\\hat{p}[\/latex]<\/td>\nTest Statistic<\/td>\n<\/tr>\n
                  Taste Test B<\/td>\n30 people participate.<\/p>\n

                  21 prefer bottled water.<\/td>\n

                  		[latex]\\frac{21}{30}=0.7[\/latex]<\/td>\n<\/td>\n<\/tr>\n
                  Taste Test D<\/td>\n100 people participate.\u00a0 44 prefer bottled water.<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/li>\n
                2. Write a sentence to interpret the test statistic for Taste Test B and Taste Test\u00a0 D.<\/li>\n
                3. Write a sentence to describe how the test statistic and the evidence against\u00a0 the null hypothesis are related to each other.<\/li>\n<\/ol>\n<\/div>\n

                  Assuming the sample size is large enough, we can use the normal distribution to model the values of the sample proportion that would occur if the null hypothesis is true. In In-Class Activity 9.C, you learned that the sample size is considered \u201clarge enough\u201d when the following condition is met:<\/p>\n

                  [latex]np \\geq 10, n(1-p) \\geq 10[\/latex]<\/p>\n

                  Since the normal distribution is being used to model the values of the sample proportion that would occur if the null hypothesis is true, we can check the condition by replacing\u00a0[latex]p[\/latex] with the value from the null hypothesis ([latex]p = 0.5[\/latex] in the bottled water taste test example).<\/p>\n

                  The following graph shows the null distribution for a sample size of 100 (standard error = 0.05). Note that the mean of the null distribution is 0.5\u2014the value from the null hypothesis in the bottled water taste test.<\/p>\n

                  \n

                  Question 5<\/h3>\n

                  Let\u2019s think about the values of the test statistic that would occur if the null hypothesis is true.<\/p>\n

                  \"\"<\/p>\n

                    \n
                  1. Identify the value of the test statistic for each numerical value marked on the\u00a0 x-axis of the normal distribution above. Write the values below the x-axis.<\/li>\n
                  2. If the sample proportion was equal to the null hypothesis value (0.5), the test\u00a0 statistic would take a value of ____.<\/li>\n
                  3. If the sample proportion had a value that was one standard error above the\u00a0 null hypothesis value (0.55), the test statistic would take a value of ____.<\/li>\n<\/ol>\n<\/div>\n
                    \n

                    Question 6<\/h3>\n

                    A taste test was conducted with a group of statistics students in Florida. Out of the 22 students who participated, 20 preferred the taste of bottled water.<\/p>\n

                      \n
                    1. Before you calculate anything, make predictions about the z-statistic. Do you\u00a0 think the value will be positive or negative? Do you think the value will be far\u00a0 from 0 or close to 0?<\/li>\n
                    2. When the sample size is 22, the standard error is 0.107. Why is this standard\u00a0 error larger than the standard error for Taste Tests B and D?<\/li>\n
                    3. Calculate the test statistic for this sample.<\/li>\n
                    4. Is it reasonable to use a normal distribution with a mean of 0 and a standard\u00a0 deviation of 1 to model the distribution of the test statistic that would occur if\u00a0 the null hypothesis is true?
                      \nHint: Check the sample size condition.<\/li>\n
                    5. Is the null hypothesis (no preference for bottled water or tap water) a\u00a0 plausible explanation for these data? Explain.<\/li>\n
                    6. Do you think it is safe to generalize these results to other parts of the\u00a0 country? Explain.<\/li>\n<\/ol>\n<\/div>\n

                       <\/p>\n

                       <\/p>\n

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