ࡱ> _ bjbjzyzy 46b6bp8|\>F^V l l l !*! !EEEEEEE$IKtE!!!!!El l HE$$$!^l l E$!E$$6$;M?l  P"jq=EF0>F=.M"Z.M8?"3?j.M? !!$!!!!!EE$!!!>F!!!!.M!!!!!!!!!B Z:  INCLUDEPICTURE "cid:image001.jpg@01CC4148.E0F33DF0" \* MERGEFORMAT  DEPARTMENT OF BUSINESS AND OFFICE ADMINISTRATION COURSE OUTLINE WINTER 2019 MG 3120 APPLIED STATISTICS FOR BUSINESS AND ECONOMICS II 3 (3-0-1) 60 Hours Instructor: Dr. Oye Abioye Phone: 780-539-2895 Office: C413 Email:  HYPERLINK "mailto:OAbioye@gprc.ab.ca" OAbioye@gprc.ab.ca Office Hours: Wednesdays 2.30pm 5.00pm and Thursdays 1:30pm 3:30pm or by appointment. CALENDAR DESCRIPTION Statistical inference for variance; statistical inference for the means; proportions and variances from two populations; analysis of variance; non-parametric statistics; joint probability distributions; marginal and conditional distributions; covariance; correlation and independence; contingency tables; simple linear regression; multiple linear regression; nonlinear regression; and time series analysis are topics covered in the course. PREREQUISITE(S)/COREQUISITE: ST 1510 REQUIRED TEXT/RESOURCE MATERIALS: Groebner, David, Patrick Shannon, Phillip Fry, 2017, Business statistics A decision making approach, 10th edition, Pearson/Prentice-Hall,864pp. My-Lab Course ID: abioye75538 and Product code purchased with the textbook. URL: Go to  HYPERLINK "http://www.pearsonmylabandmastering.com" www.pearsonmylabandmastering.com DELIVERY MODE(S): Lecture and Laboratory COURSE OBJECTIVES: This course introduces students to: 1. The scientific method of analyzing problems and identify where in the statistical analytical process that the outcome can be manipulated; 2. Different statistical tools that can be used to understand complex situations; 3.Computer and computer software to facilitate the analytical process; 4.Standard format by which to present statistical report to decision makers. LEARNING OUTCOMES: As a result of taking this course, students will gain the ability to: 1. Identify which statistical tool can be used to unbundle a specific problem; 2 .Present outcomes and recommendations flowing from an analysis in a format that is accessible to a decision maker; 3. Use standard statistical software embedded in Excel to analyze complex problems, extract relevant information to support the analysis and recommendations, and insert into word documents. TRANSFERABILITY: (as of December 1, 2015) Athabasca University: MGSC 312 (3) Canadian University College: BUAD 3xx (3) Concordia University College of Alberta: BUS 2xx (3) King's University College, The: BUSI 3xx (3) MacEwan University: MGTS 312 (3) University of Alberta: MGTSC 312 (3) OR AUSTA 2xx (3) University of Calgary: STAT 217 (3) University of Lethbridge, The: STAT 2780 (3) What does 1xx, 1xxx, Jr. or Sr. mean? This indicates unspecified credit. The course is not close enough in content to a receiving institution course to be given credit for a specific receiving institution course. However, it will transfer as an option. Institutions have various ways of indicating non-specific course options which also designate the level of study (i.e., a junior-level option might be Jr. ENGL, ENGL 1xx or 2xx, or ENGL 1xxx). REMINDER: Transfer agreements specified in the Online Alberta Transfer Guide may be dependent on the particular program a student wishes to enter. If a student switches to an unrelated program, courses may not be fully transferable. ** Grade of D or D+ may not be acceptable for transfer to other post-secondary institutions. Students are cautioned that it is their responsibility to contact the receiving institutions to ensure transferability. EVALUATIONS GRADING CRITERIA: (The following criteria may be changed to suite the particular course/instructor) Assignments: The best 16 out of 17 will account for 20% of the students final grade 20% Quizzes: The best 16 out of 17 will account for 20% of the students final grade 20% Examinations: First Test 10% Second Test 10% Final Exam 40% (3rd Exam is cumulative during regularly scheduled exam time) IN ORDER TO GAIN CREDIT FOR THIS COURSE, YOU MUST HAVE A CUMULATIVE GRADE SCORE OF 50% AND AT LEAST A 50% IN THE FINAL EXAM. Please note that Universities will not accept your course for transfer credit IF your grade is less than C-. This means DO NOT GET LESS THAN C- IF YOU ARE PLANNING TO TRANSFER TO UNIVERSITY. GRANDE PRAIRIE REGIONAL COLLEGEGRADING CONVERSION CHARTAlpha Grade4-point EquivalentPercentage GuidelinesDesignationA+4.090 100EXCELLENTA4.085 89A3.780 84FIRST CLASS STANDINGB+3.377 79B3.073 76GOODB2.770 72C+2.367 69SATISFACTORYC2.063 66C1.760 62D+1.355 59MINIMAL PASSD1.050 54F0.00 49FAILWF0.00FAIL, withdrawal after the deadline STATEMENT ON PLAGIARISM AND CHEATING: Refer to the Student Conduct section of the College Admission Guide at HYPERLINK "http://www.gprc.ab.ca/programs/calendar/"http://www.gprc.ab.ca/programs/calendar/ or the College Policy on Student Misconduct: Plagiarism and Cheating at HYPERLINK "http://www.gprc.ab.ca/about/administration/policies/**"www.gprc.ab.ca/about/administration/policies/** **Note: all Academic and Administrative policies are available on the same page. COURSE SCHEDULE/TENTATIVE TIMELINE: DateChapter CoveredAssignments Unlimited attemptsQuizzes 2 attempts per quizExaminationsCourse Chapters**See My-Lab for details****See My-Lab for details**Jan 7 - 91 - 2Jan 14 - 163 4Jan 21 - 235 6Jan 28 307 8Jan 30 - Test 1 (1-6)Feb 4 - 69Feb 11 - 1310Feb 25 2711Mar 4 - 6 12Mar 6 - Test 2 (7 11)Mar 11 - 1313Mar 18 - 2014Mar 25 - 2715Apr 1 - 3 16Apr 8 10 17Apr 15 - 27 ExaminationFinal Exam 40%     Copyright 2009, Grande Prairie Regional College and its licensors.  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