MA260C Lesson 6 Reading Assignments.docx

MA260C Lesson 6 Reading Assignments.docx - Lesson 6...

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Lesson 6: Relationships, Causes, and Confidence Intervals In this lesson we will learn about correlation and causation and extrapolation from sample data to larger populations using inferential statistics. Learning Objectives Upon completion of Lesson 6, you should be able to: Apply correlational statistical reasoning to scatterplots, coefficients, outliers, and the concept of causation. Relate best-fit lines to the understanding of multiple regression and describe how predictive value and causality are each determined. Utilize inferential statistics for sample means and proportions. Describe the similarities and differences between estimation of population means and proportions to compute confidence intervals and margins of error. What To Do Next Reading Assignments Click on the Reading Assignments link above to access your textbook reading assignments and lecture notes. Assessment After you have completed the reading assignments for this lesson and feel comfortable with the material presented, go to the Exams & Quizzes tool on the left navigation panel and complete Online Exam 6 . This exam covers the material presented in Lesson 5 and Lesson 6. Congratulations! Once you have completed these items, and have received a passing score on the assessment, you are ready to move on to your next lesson! Reading Assignments Text Readings Statistical Reasoning for Everyday Life , Chapters 7 and 8 Additional Readings DIRECTIONS: To access ProQuest articles, you MUST first open a Web browser window to the ProQuest Library; otherwise, you will be denied access to the articles when you click the links. Once your browser is open to ProQuest, simply click on the link for the article you need to read. For detailed instructions on how to access ProQuest, click here . For non-ProQuest articles, use the provided Internet link to access the Required Readings material. ProQuest Articles Father Presence in a Community and Levels of Violent Crime A Dynamic Beyond the
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Arm of the Law Towards the Improved Treatment of Generalization of Knowledge Claims in IS Research: Drawing General Conclusions from Samples Lecture Notes “I couldn’t claim that I was smarter than sixty-five other guys-but the average of sixty-five other guys, certainly!” -Richard P. Feynman Welcome to Lesson 6 where we will discuss the differences between correlation and causality and inferences. The first part of this lesson focuses on the importance of differentiating between
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