Fall 2008
| Instructor: | Dr. Gene McKay | |||||||||||||||||||||||||||||||||||||||
| Phone: | 269-965-3931, ext. 2517 | |||||||||||||||||||||||||||||||||||||||
| Office Hours: Online: |
Office hours will be posted on the
course website.
It is best to contact me via the course discussion board or email. I will respond to email within two working days. Email messages are checked daily Monday - Friday during the semester. My email address is mckayg@kellogg.edu |
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| Course Prerequisites: | It is recommended that students have completed Beginning Algebra (Math 101) and Applications Software (OIT 160) or their equivalents. Knowledge of Microsoft Excel version 2002 or newer is also recommended. | |||||||||||||||||||||||||||||||||||||||
| Textbook | Required: Elementary Statistics, A Brief Version, 4th edition, by Allan G. Bluman (2008). ISBN #9780073534961 You will also need Microsoft Excel version 2003 or newer | |||||||||||||||||||||||||||||||||||||||
| Online Course Features and Requirements | Number of tests: 2 of which 2 must be proctored.
Required on campus sessions: none Special labs or practicum: none Number of assignments: 10 written, 5 discussion postings, 1 final project Estimated time per week: 6 - 8 hours depending upon student prior experience Group interaction required: Yes, for 5 online discussion board postings Scheduled activities or self paced: Scheduled and self-paced Requirements: Students must have access to the following:
Other requirements: Microsoft Excel 2002 version or higher |
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| Course Site: | http://bb.kellogg.edu | |||||||||||||||||||||||||||||||||||||||
| Course Goal: | The course will provide students with a
solid base in statistical analysis and interpretation. Students will
understand the uses of statistics and the basic techniques used to present
data.
Students will be able to construct frequency and percentage distributions and calculate measures of central tendency for grouped and ungrouped data. Students will be able to calculate measures of dispersion for sample and population data and interpret the coefficient of variation and standard score. Students will solve probability problems using the binomial and normal curve distributions, and understand the central limit theorem including calculating the standard error. Students will have the opportunity to construct and interpret confidence levels and develop and test hypotheses. Students will learn how to use Chi-Square as a test for independence, ANOVA testing, and be able to calculate and interpret data using regression/correlation analysis. Finally, students will be able to analyze and interpret articles and publications using statistical data and determine if the analysis and interpretation is correct. |
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| Course Description | A basic principles course emphasizing statistical techniques, particularly their application to business and economics. The study of descriptive statistics leads to an understanding of measures of dispersion and central tendency. With this background the student progresses to sampling and probability theory leading to inferential statistics. Various tests of significance are studied including Chi-square, analysis of variance, and the binomial distribution using real world examples. Finally, the relationship between data is studied using regression and correlation analyses. | |||||||||||||||||||||||||||||||||||||||
| Objectives | To develop a basic understanding of statistical analysis and to apply the techniques learned in this course to business applications. | |||||||||||||||||||||||||||||||||||||||
| Grading | 2 tests @ 100 points each = 200 points
10 quizzes, 8 required @ 10 points each = 80 points 10 written assignments, 8 required @10 points each = 80 points 5 discussion assignments @ 10 points each = 50 points 1 data analysis project paper@ 200 points = 200 points Total possible points = 610 |
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| Grading Scale |
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Disclaimer |
Information contained in this syllabus was, to the best knowledge of the instructor, considered correct and complete when distributed for use at the beginning of the semester. However, this syllabus should not be considered a contract between Kellogg Community College and any student, nor between any student and the instructor. The instructor reserves the right, acting within the policies and procedures of Kellogg Community College, to make changes in course content or instructional techniques without notice or obligation. |
| Computer Access at KCC | It is assumed that students enrolled in this course have at their disposal appropriate equipment and software to complete the course work and communicate with other students. If there are problems with your equipment and/or software, it is possible to come the KCC's Campus and use the open computer lab in the Learning Resource Center. See KCC's web site for campus maps and lab times. |
| Online Submitting Materials | Students will be expected to use e-mail attachments and the blackboard site for this class to submit materials. |
| ADA Statement | Kellogg Community College does not discriminate in the admission or treatment of students on the basis of disability. KCC is committed to compliance with the American Disabilities Act and Section 504 of the Rehabilitation Act. |
Last modified: April 01, 2008 by Linda Younglove © Copyright 2003, Kellogg Community College. All rights reserved.