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It also applies these topics to social science disciplines using statistical functions in Microsoft Excel.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"What are the stated learning outcomes for the course?",{"text":68,"@type":64},"Students should be able to identify appropriate levels of measurement and techniques, organize and describe data with descriptive statistics, compute appropriate metrics, and state, test, and interpret social science hypotheses.",{"name":70,"@type":61,"acceptedAnswer":71},"How is grading handled in this course?",{"text":72,"@type":64},"The syllabus states there are 700 possible points and that grades are posted on the Blackboard page. 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The skills learned in this class are broadly applicable and will benefit students with a variety of career goals. A working understanding of statistics is an invaluable quality for data analysts, policymakers, researchers, and others. Such skills can be used to make recommendations and decisions, persuade others, or synthesize information on a given topic.  \nWe will cover a lot of material in this course, spanning both theoretical concepts and practical applications of skills using statistical functions in Microsoft Excel. Specifically, topics to be covered in this course include: the scientific method, measurement, sampling, descriptive statistics, inferential statistics, hypothesis testing, and data visualization techniques.  \nCourse Description: Covers basic principles and quantitative methods used to analyze social science data. Topics include data management, descriptive statistics, distributions, confidence intervals, hypothesis testing, and regression, among others. Analytic methods will be linked to applications for topics of interest to social science disciplines.  \nCredit Hours: 3 credits  \nPre-Requisite(s): Undergraduate level MATH 0800 Minimum Grade ofC\\# or Undergraduate level MATH 0803 Minimum Grade ofC\\# or Undergraduate level MATH 0902 Minimum Grade ofC\\# or Undergraduate level MATH 0903 Minimum Grade ofC\\# or Undergraduate level MATH 1050 Minimum Grade of C or Undergraduate level MATH 1120 Minimum Grade of C or ACT Math 22 or Math Placement Level 4 or SAT Mathematics 520 or New SAT Mathematics 550 orALEKS Math Placement 046  \nThe following Learning Outcomes will encourage students to develop competencies in quantitative reasoning and critical thinking and contribute to the Area III core.  \nLearning Outcomes  \nUpon completion of this course, students should be able to:  \n1. Identify appropriate levels of measurement and the associated statistical techniques  \n2. Organize and describe data using descriptive statistics  \n3. Synthesize information to determine and calculate appropriate metrics  \n4. State and test social science hypotheses and interpret results  \nStudents should expect to achieve the course objectives only if they follow all course policies, attend lectures regularly, complete all assigned work, and meet all course expectations.  \nRequired Books  \nPolitical Science Research Methods (9th Edition) by Johnson, Reynolds, and Mycoff.  \nPublished by CQ Press (2020) .  \nISBN: Paperback: 978-1-544-33143-0; E-book: 978-1-544-35803-1  \nNote: If you are unable to purchase the textbook for this course, it will also be available through the Reserve System at the library. Students will be able to check out the book for in-library use for up to four hours at a time.  \nCommunication  \nAnnouncements and course information will be sent to your AUM email address, so you should plan to check it regularly throughout the semester. I will also use the announcements function on Blackboard to provide regular guidance on how to be successful in the class.  \nThe best way to contact me is by email. During the week, I will respond to emails within 24 hours. On wee","cbCaihiws9yFgapU","https://ap.wps.com/l/cbCaihiws9yFgapU","pdf",210306,"English","# Course Information\n## Course Overview\n## Course Description\n## Credit Hours and Pre-Requisites\n## Learning Outcomes\n## Required Books\n## Communication\n## Assignments and Grading","[{\"question\":\"What topics are covered in POLS/ECST/JUST/SOCI 2760?\",\"answer\":\"The course covers the scientific method, measurement, sampling, descriptive and inferential statistics, hypothesis testing, and data visualization. It also applies these topics to social science disciplines using statistical functions in Microsoft Excel.\"},{\"question\":\"What are the stated learning outcomes for the course?\",\"answer\":\"Students should be able to identify appropriate levels of measurement and techniques, organize and describe data with descriptive statistics, compute appropriate metrics, and state, test, and interpret social science hypotheses.\"},{\"question\":\"How is grading handled in this course?\",\"answer\":\"The syllabus states there are 700 possible points and that grades are posted on the Blackboard page. It also notes that grades are not discussed over email and that assignment feedback is typically available within one week after submission.\"}]","POLS/ECST/JUST/SOCI 2760 - Statistics for Social Sciences - Spring 2024 Syllabus | PDF",1790461603,25]