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Math 135 – Introduction to Statistics and Data Analysis Anne Butler Phone 404-234-3797 Office New Milford E-mail [email protected] Office Hours To be arranged Coursecompass id butler92203 Text: TITLE:Statistics (w/Access Code) AUTHOR:Sullivan EDITION:4th COPYRIGHT YEAR:2013 PUBLISHER:Pearson Education ISBN:9780321837738 Description: Introductory Statistics and Data Analysis This course introduces descriptive and inferential statistics with an emphasis on techniques and applications to real-world situations. Topics include descriptive statistics, statistical distributions, confidence intervals, hypothesis testing, contingency tables, regression, and correlation (3 credits). Prerequisite: College Algebra or Mathematical Reasoning. Prerequisite: MAT 115 or MAT 120. Objectives: 1. To develop quantitative skills necessary for analyzing and summarizing data. 2. To gain a working knowledge of descriptive statistical methods and their applications. 3. To develop an understanding of probability and probability distributions, particularly the normal distribution. 4. To acquaint students with the concept of hypothesis testing and to distinguish between descriptive and inferential statistics. 5. To acquaint students with graphical techniques and the statistical methods used to analyze relationships between variables. 6. To enable students to realize that statistics is fun! 7. To define statistics, discuss data types, contrast qualitative and quantitative data, and examine common applications of data analytical methods using real-world examples and data. 8. To develop procedures for listing and grouping quantitative data, both in tabular and graphical formats. Page 1 9. To present basic descriptive statistical measures of location (mean, median, mode) and variability (range, variance, standard deviation). 10. To introduce the concept of probability and probability distributions, including the binomial and normal distributions. 11. To illustrate the concept of random samples and sampling distributions (of the mean) as a transition from descriptive and inferential statistics. 12. To distinguish between a sample and a population. 13. To calculate point and (confidence) interval estimates of the mean of a sample. 14. To present methods for hypothesis testing of differences between means (one and two sample populations). 15. To present methods for analyzing enumeration data, as opposed to measurement data. 16. To describe (via calculation and graphs) statistical relationships between two variables. Requirements: There will be one project Evaluation: Homework – 30% Quizzes – 20% Exams – 30% Project – 20% Attendance Policy: Students enrolled in credit-bearing courses at Lackawanna College will fail any course(s) in which they accumulate absences beyond the maximum number allowed. This pertains to online classes as well. Attendance is tracked by instructors, so be sure to log on and adhere to the following scale: # of Times Class Meets Maximum # of Absences Allowed 3 times a week 6 2 times a week 4 4 1 time a week 2 2 Developmental Classes 3 DE 010, DE 020, DE 030 Withdrawal Policy: A student has the privilege of withdrawing from any courses or from the College itself without academic penalty up to and including the final date for withdrawal indicated on the College calendar. To withdraw officially from a course or from the College, a student must obtain the proper withdrawal form from the Student Affairs Office or from your Center Director, complete this form and submit it to the Registrar's Office before the final day for withdrawal without academic penalty as indicated on the College calendar. If a student should stop attending or never attend an Page 2 enrolled class or classes without officially withdrawing prior to the last day to withdraw without academic penalty, the student will receive a grade of F* (Failure) in these courses. No exceptions will be made. Students who violate the College's Academic Integrity Policy and fail a course in consequence may not exercise the withdrawal privilege in that particular course. Financial obligations to the College will be determined according to the Refund Policy. Instructor Policies All homework, quizzes, and exams will be done online using the mylabandmastering web-based tool of Pearson education. This tool also provides the StatCrunch tool that students will use to do required calculations for the assignments. The assignments, along with this syllabus, will be posted on Portal. Description and rubrics for the project will also be available there. From time to time, e-mail will be sent through portal. Students are responsible for checking portal and their e-mail periodically for these announcements. Grading: [Add your course assignments and grade designations along with Lackawanna College’s grading scale here. Also, add your rubrics here.] Letter Grade Numeric Range Quality Points A 96 – 100 4.0 A- 90 – 95 3.67 B+ 87 – 89 3.33 B 83 – 86 3.0 B- 80 – 82 2.67 C+ 77 – 79 2.33 C 73 – 76 2.0 C- 70 – 72 1.67 D+ 67 – 69 1.33 D 60 – 66 1.0 F 0 – 59 0 Due Dates and Late Penalties: o The grace period for late assignments is as follows: 1 day late-10% deduction off of the assignment grade 2 days late-20% off of the assignment grade 3 days late-the assignment will receive a grade of 0% Academic Integrity Academic dishonesty in any form, such as plagiarism and cheating, will not be tolerated. Sanctions will include an automatic F for plagiarism, but the severity or frequency of the violation Page 3 may result in dismissal from the College as well. Please see the Student Handbook for a complete explanation. The following are among the forms of dishonesty for which sanctions may be applied: Using books, notes or other materials during an examination, unless expressly permitted; Using purchased essays, term papers or preparatory research for such papers; Copying others' work or engaging in unauthorized cooperation during an assignment or examination; Allowing another student to copy from an examination or other assignment intended to be performed independently; Borrowing from published works, whether material is taken verbatim or with minor alterations, without proper and/or sufficient acknowledgment; Submitting as one’s own work originally done by someone else; Submitting the same written report in more than one course without prior approval from the instructor(s) involved; Stealing examinations or assignments; Supplying or selling examinations or assignments; Misrepresenting statements concerning work submitted; Falsifying or fabricating experimental data or results; Falsifying or fabricating the need for extensions on papers or make-up examinations. (Please see student handbook for more information) Disability Statement Lackawanna College is an Affirmative Action, Equal Employment Opportunity institution. Students with disabilities and other needs should feel free to contact the instructor privately if there are services and adaptations which can be made to accommodate specific needs. Students who are having difficulties with class material are strongly advised to seek assistance in the reading and writing lab. If you feel that you have a disability that has not been formally documented, you may meet with Ms. Deborah Hartzell in the academic development office to discuss your options. Equal Opportunity Statement: Lackawanna College will not discriminate in its educational programs, activities or employment practices based on race, color, national origin, sex, sexual orientation, disability, age, religion, ancestry, union membership or any other legally protected classification. Announcement of this policy is in accordance with State law, including the Pennsylvania Human Relations Act, and with Federal law, including Titles VI and the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972, Sections 503 and 504 of the Rehabilitation Act of 1973, the Age Discrimination Act of 1975, and the Americans with Disabilities Act of 1990. Inquires should be directed to Dr. Gail Scaramuzzo, Affirmative Action Officer 961-7848 Portfolio and Coursework Lackawanna College will empower you to experience learning by inspiring your critical thinking, accessing your talents and skills, motivating you toward a career choice, and encouraging you to make a difference. In evidence of this learning, the College requires a graduation portfolio containing Career Documents, including a résumé, two letters of recommendation, and a career Page 4 exploration; Core Coursework, including a research paper from College Writing; three sample papers or projects from Major Coursework; and a Lackawanna College Reflection Paper. Course Schedule for Statistics – Math 135 Lackawanna – Fall 2012 Date 8/27 9/17 Assignment Due Register for mylabandmastering– id is BUTLER92203; url is www.mylabandmastering.com Labor Day Holiday Send mail to instructor using Mylabandmastering; practice using mylabandmastering and StatCrunch HW for 1.1-1.5 9/24 HW for 2.1-2.2 10/1 HW 2.3-2.5 10/8 10/15 Columbus Day - Holiday HW 3.1-3.3 10/22 HW for 3.4-3.5 10/29 HW for 6.1-6.3 11/5 HW for 7.1-7.3 11/12 11/19 Veterans Day - Holiday HW for 8.1-8.2 11/26 12/3 Ch 9 Exam 2 – Ch 3.4- 9 Project Due 9/3 9/10 Topics Intro to coursecompass and StatCrunch Book Section 1.1 and 1.2 Statistical definitions; sampling techniques, bias Ch 1.3-1.5 Quantitative data summaries and displays Graphs- bar, histogram, frequency polygon, stem and leaf plots, ogives Numeric representation of data – mean, median, mode, variance and standard deviation, empirical rule and Chebychev’s Ch 2.1-2.2 Quiz on ch 1 Ch 2.3-2.5 Grouped data, measures of position, outliers, quartiles, IQR Ch 3.4-3.5 Exam 1- Ch 13.3 Ch 5, 6.1-6.3 Quiz on Ch 3 Ch 7.1-7.3 Quiz on Ch 5/6 Ch 8.1-8.2 Probability and Discrete probability Distribution Normal Distribution Sample Distributions and confidence intervals Hypothesis testing Review Examinations: There will be two exams, in class. Page 5 Ch 3.1-3.3 Quiz on Ch 2 Ch 9 Quiz on Ch 7 &8