{"id":4915,"date":"2022-08-16T21:31:43","date_gmt":"2022-08-16T21:31:43","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/?post_type=chapter&p=4915"},"modified":"2022-08-17T18:32:18","modified_gmt":"2022-08-17T18:32:18","slug":"13b-inclass","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/chapter\/13b-inclass\/","title":{"raw":"13B InClass","rendered":"13B InClass"},"content":{"raw":"
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Question 1<\/h3>\r\n1) How many plastic products do you think\u00a0you use each week? How do you think\u00a0this compares to your neighbors?\r\n\r\n<\/div>\r\n\r\n[caption id=\"\" align=\"alignright\" width=\"300\"]\"A Credit: iStock\/piotr_malczyk[\/caption]\r\n\r\n \r\n\r\nIn this in-class activity, you will be revisiting the \u201cplastics\u201d dataset used in In-Class\u00a0 Activity 13.A. Recall that this dataset is a sample of plastic products collected by\u00a0 community volunteers in countries around the world during a brand audit to see what\u00a0 types of plastics are found in waste and from which companies the plastics found came\u00a0 from.\r\n\r\nThe dataset can be accessed at https:\/\/docs.google.com\/spreadsheets\/d\/15RIs8K9MaGVfYQmi15bH87dUIz8X1o60Wcs ukoLlFFo\/edit?usp=sharing.\r\n
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Question 2<\/h3>\r\n2) In In-Class Activity 13.A, you used a subset of the \u201cplastics\u201d dataset that contains\u00a0 counts of plastics from The Coca-Cola Company in 2020.\r\n\r\na) What was the research question you were trying to answer using the Coca Cola subset of data?\r\n\r\nb) What were the null and alternative hypotheses you wrote to answer the\u00a0 research question?\r\n\r\nc) Is this a one-tailed or two-tailed one-sample test?\r\n\r\nd) What is the sample mean count of all plastic products reported in 2020 that\u00a0 are from The Coca-Cola Company?\r\n\r\ne) What is the sample standard deviation of all plastic products reported in 2020\u00a0 from The Coca-Cola Company in the subset?\r\n\r\n<\/div>\r\n
\r\n

Question 3<\/h3>\r\n3) Calculate the value of the test statistic by hand using the formula introduced in In Class Activity 12.B:\r\n\r\n[latex]t=\\frac{\\bar{x}-\\mu_{0}}{s\/\\sqrt{n}}[\/latex]\r\n\r\n<\/div>\r\n
\r\n

Question 4<\/h3>\r\n4) Let\u2019s say that we got a new sample of the total plastics count for products from The\u00a0 Coca-Cola Company in the sample of countries around the world. Would the value\u00a0 of the test statistic that we calculated using this new sample change from the test\u00a0 statistic value we calculated in Question 3? Explain.<\/span>\r\n\r\n<\/div>\r\n
\r\n

Question 5<\/h3>\r\n5) Use the DCMP Inference for a Population Mean tool at\r\n\r\nhttps:\/\/dcmathpathways.shinyapps.io\/Inference_mean\/ to calculate the P-value with\u00a0 a significance level of 0.05.\r\n\r\na) What is null value you entered into the data analysis tool?\r\n\r\nb) What is the P-value?\r\n\r\nc) Does the value of the test statistic from the data analysis tool match your\u00a0 answer to Question 3?\r\n\r\n<\/div>\r\n
\r\n

Question 6<\/h3>\r\n6) How would you interpret the result of this test in context? Is there evidence to\u00a0 suggest that the claim by Coca-Cola is false?\r\n\r\n<\/div>\r\nThe following is a list of companies that have a large enough sample size to meet the\u00a0 conditions for a hypothesis test:\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
2019<\/td>\r\n2020<\/td>\r\n<\/tr>\r\n
Nestle<\/td>\r\nNestle<\/td>\r\n<\/tr>\r\n
PepsiCo<\/td>\r\nPepsiCo<\/td>\r\n<\/tr>\r\n
<\/td>\r\nUnilever<\/td>\r\n<\/tr>\r\n
<\/td>\r\nMondelez International<\/td>\r\n<\/tr>\r\n
<\/td>\r\nMars, Incorporated<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\nChoose a company from the list. Create a subset of data for the company you chose by\u00a0 filtering by the parent_company variable and the year. This is the subset of data you will\u00a0 use to answer Questions 7\u201310.\r\n\r\nIn Questions 7\u201310, use a significance level of 0.05 and a hypothesized value of 90\u00a0 items. The variable that you will be focused on is the total plastics count found in\u00a0 various countries.\r\n
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Question 7<\/h3>\r\n7) Which company did you choose?\r\n\r\n<\/div>\r\n
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Question 8<\/h3>\r\n8) What is your research question? What are the null and alternative hypotheses?\r\n\r\n<\/div>\r\n
\r\n

Question 9<\/h3>\r\n9) Calculate the test statistic and P-value using the DCMP Inference for a Population\u00a0 Mean tool.\r\n\r\n<\/div>\r\n
\r\n

Question 10<\/h3>\r\n10) How would you interpret the result of the test in context?\r\n\r\n<\/div>","rendered":"
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Question 1<\/h3>\n

1) How many plastic products do you think\u00a0you use each week? How do you think\u00a0this compares to your neighbors?<\/p>\n<\/div>\n

\"A<\/p>\n

Credit: iStock\/piotr_malczyk<\/p>\n<\/div>\n

 <\/p>\n

In this in-class activity, you will be revisiting the \u201cplastics\u201d dataset used in In-Class\u00a0 Activity 13.A. Recall that this dataset is a sample of plastic products collected by\u00a0 community volunteers in countries around the world during a brand audit to see what\u00a0 types of plastics are found in waste and from which companies the plastics found came\u00a0 from.<\/p>\n

The dataset can be accessed at https:\/\/docs.google.com\/spreadsheets\/d\/15RIs8K9MaGVfYQmi15bH87dUIz8X1o60Wcs ukoLlFFo\/edit?usp=sharing.<\/p>\n

\n

Question 2<\/h3>\n

2) In In-Class Activity 13.A, you used a subset of the \u201cplastics\u201d dataset that contains\u00a0 counts of plastics from The Coca-Cola Company in 2020.<\/p>\n

a) What was the research question you were trying to answer using the Coca Cola subset of data?<\/p>\n

b) What were the null and alternative hypotheses you wrote to answer the\u00a0 research question?<\/p>\n

c) Is this a one-tailed or two-tailed one-sample test?<\/p>\n

d) What is the sample mean count of all plastic products reported in 2020 that\u00a0 are from The Coca-Cola Company?<\/p>\n

e) What is the sample standard deviation of all plastic products reported in 2020\u00a0 from The Coca-Cola Company in the subset?<\/p>\n<\/div>\n

\n

Question 3<\/h3>\n

3) Calculate the value of the test statistic by hand using the formula introduced in In Class Activity 12.B:<\/p>\n

[latex]t=\\frac{\\bar{x}-\\mu_{0}}{s\/\\sqrt{n}}[\/latex]<\/p>\n<\/div>\n

\n

Question 4<\/h3>\n

4) Let\u2019s say that we got a new sample of the total plastics count for products from The\u00a0 Coca-Cola Company in the sample of countries around the world. Would the value\u00a0 of the test statistic that we calculated using this new sample change from the test\u00a0 statistic value we calculated in Question 3? Explain.<\/span><\/p>\n<\/div>\n

\n

Question 5<\/h3>\n

5) Use the DCMP Inference for a Population Mean tool at<\/p>\n

https:\/\/dcmathpathways.shinyapps.io\/Inference_mean\/ to calculate the P-value with\u00a0 a significance level of 0.05.<\/p>\n

a) What is null value you entered into the data analysis tool?<\/p>\n

b) What is the P-value?<\/p>\n

c) Does the value of the test statistic from the data analysis tool match your\u00a0 answer to Question 3?<\/p>\n<\/div>\n

\n

Question 6<\/h3>\n

6) How would you interpret the result of this test in context? Is there evidence to\u00a0 suggest that the claim by Coca-Cola is false?<\/p>\n<\/div>\n

The following is a list of companies that have a large enough sample size to meet the\u00a0 conditions for a hypothesis test:<\/p>\n\n\n\n\n\n\n\n\n
2019<\/td>\n2020<\/td>\n<\/tr>\n
Nestle<\/td>\nNestle<\/td>\n<\/tr>\n
PepsiCo<\/td>\nPepsiCo<\/td>\n<\/tr>\n
<\/td>\nUnilever<\/td>\n<\/tr>\n
<\/td>\nMondelez International<\/td>\n<\/tr>\n
<\/td>\nMars, Incorporated<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Choose a company from the list. Create a subset of data for the company you chose by\u00a0 filtering by the parent_company variable and the year. This is the subset of data you will\u00a0 use to answer Questions 7\u201310.<\/p>\n

In Questions 7\u201310, use a significance level of 0.05 and a hypothesized value of 90\u00a0 items. The variable that you will be focused on is the total plastics count found in\u00a0 various countries.<\/p>\n

\n

Question 7<\/h3>\n

7) Which company did you choose?<\/p>\n<\/div>\n

\n

Question 8<\/h3>\n

8) What is your research question? What are the null and alternative hypotheses?<\/p>\n<\/div>\n

\n

Question 9<\/h3>\n

9) Calculate the test statistic and P-value using the DCMP Inference for a Population\u00a0 Mean tool.<\/p>\n<\/div>\n

\n

Question 10<\/h3>\n

10) How would you interpret the result of the test in context?<\/p>\n<\/div>\n","protected":false},"author":23592,"menu_order":5,"template":"","meta":{"_candela_citation":"[]","CANDELA_OUTCOMES_GUID":"","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"class_list":["post-4915","chapter","type-chapter","status-publish","hentry"],"part":4875,"_links":{"self":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/4915","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/users\/23592"}],"version-history":[{"count":5,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/4915\/revisions"}],"predecessor-version":[{"id":5028,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/4915\/revisions\/5028"}],"part":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/parts\/4875"}],"metadata":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/4915\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/media?parent=4915"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapter-type?post=4915"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/contributor?post=4915"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/license?post=4915"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}