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gbs221-syllabus-spr10 - Course Syllabus GBS221 Business...

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Revised 2/9/10 Course Syllabus GBS221 Business Statistics Semester: Spring 2010 Class /Section: 33225 Classroom: B327/B323 (Lab in B206 from 9:00-9:50 PM) Instructor: Mr. Nicolas Rouse, MMI, MCT, M.Ed. Message Phone: (602) 285-7161 Email: [email protected] Yahoo IM: inforouse AOL IM: ncrouse2000 Course Web Site: http://www.nickrouse.com/?page_id=17 (Or go to www.nickrouse.com and click the link that reads GBS221) Lab Hours: Tuesdays and Thursdays 6:00-7:00 PM (B-301) Open Lab B301: Mon-Fri 8am-10pm, Saturday 8am-4pm You must have your student ID to use the Computer Lab, B301 The Open Business Computer Lab is closed the first week of classes and during finals week. No food or drinks are allowed in the classrooms or computer labs! Text : Essentials of Statistics for Business and Economics (with CD-ROM), 5th Edition. by Anderson, Sweeney, and Williams – South-Western Cengage Learning (ISBN-10: 0-324-56860-6) or (ISBN-13: 978-0-324-56860-8) Supplies: Phoenix College Student ID (for computer lab use) and Pencils for Exams Course Description Business applications of descriptive and inferential statistics, measurement of relationships, and statistical process management. Includes the use of spreadsheet software for business statistical analysis. Prerequisites: Grade of C or better in GBS220 or MAT217.
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2 Course Competencies To give the student an introduction to basic statistical methods and analysis commonly used in the business world today, including the use of spreadsheet software. Upon completion of this course, you should be able to: Collect, organize, present, analyze, and interpret numerical data using frequency distributions and graphical presentations Calculate and interpret measures of central tendency for raw or grouped data Calculate and interpret measures of dispersion and skewness Use discrete and continuous probability distributions in probability applications Explain probability sampling and sampling distributions and describe their uses Use statistical inference techniques and confidence levels for decision making when testing hypotheses Use regression and correlation analysis and interpret results Use statistical process management and control charting to solve statistical quality control problems Class Management Attendance is required. Call if you will not be in attendance. No shows will be dropped.
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