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COLLIN COUNTY COMMUNITY COLLEGE COURSE SYLLABUS SPRING 2015 Course Number: MATH 1342 Course Title: ELEMENTARY STATISTICAL METHODS Instructor’s Information: Instructor’s Name: Alan Sauter Office Number: LA 224 Office Hours: MW 10-10:30am, 4-4:30pm, TR 2:30-3pm (LA 224); F 10-Noon (Math Lab, C220); MW 10:30-11am (online) Phone Number: 972-548-6733 Email: [email protected] (The department office contact in case of emergencies is: Office of Academic Affairs, B-122 F, 214-491-6270.) Class Information: Section Number: C03 Meeting Times: MW 2:30-3:45pm Meeting Location: LA 238 (CPC) Course Description: Collection, analysis, presentation and interpretation of data, and probability. Analysis includes descriptive statistics, correlation and regression, confidence intervals and hypothesis testing. Use of appropriate technology is recommended. Lab required and is part of the 3 hour class. Course Credit Hours: 3 Lecture Hours: 3 Lab Hours: 1 Placement Assessment(s): Prior to enrolling in this course, the student must demonstrate eligibility to enroll in the following: MATH 1314, MATH 1324, MATH 1342, or higher. Prerequisite: TSI placement. Course Resources: Required: Statistics – Informed Decisions Using Data, Sullivan, Michael III, 4th Edition, Pearson Education, 2013. Purchase with MyStatLab access pin code. (Note: text is available online at MyStatLab.) Class notes for most sections will be posted periodically at the instructor’s web page on Cougarweb. These should be printed and brought to the class meeting for which the section is scheduled to be covered. Supplies: Required: Graphing calculator (TI-83 or TI-84), pencils, erasers, notebooks. Access code for MyStatLab. MATH 1342.C03 Spring 2015 Student Learning Outcomes: Upon completion of this course the students should be able to do the following: 1. Explain the use of data collection and statistics as tools to reach reasonable conclusions. 2. Recognize, examine and interpret the basic principles of describing and presenting data. 3. Compute and interpret empirical and theoretical probabilities using the rules of probabilities and combinatorics. 4. Explain the role of probability in statistics. (Empirical and Quantitative) 5. Examine, analyze and compare various sampling distributions for both discrete and continuous random variables. 6. Describe and compute confidence intervals. 7. Solve linear regression and correlation problems. (Critical Thinking and Communication) 8. Perform hypothesis testing using statistical methods. (Critical Thinking and Communication) Method of Evaluation: Attending lectures, completing assignments and labs, completing required exams, and knowledge of calculator use are all required. Brief Description Of Major Course Requirements: Homework: Homework assignments are located on MyStatLab. Homework assignments are due one hour before the start of the next class period. Late homework will be awarded partial or no credit. (Students missing class are expected to keep up with their studies and complete homework assignments per the schedule.) Additional assignments, some of which may be required to be turned in, may be assigned. Tests: There will be four regular tests, to be taken in the classroom. There are no make-up tests. The lowest of these test scores may be replaced with the final exam percentage. Final Exam: The Final Exam is comprehensive and must be taken in class on the scheduled date. Labs: Each lab will consist of a project or a set of problems to be distributed in class or through Cougarmail. Labs must be completed outside of class. Grading: Grading on tests and labs is based on correct work, as well as correct answers. Please note that a correct answer with incorrect, incomplete, or unclear work may not receive credit. MATH 1342.C03 Spring 2015 Grading Policy: Homework = Tests (100 pts. each x 4 tests) = Final Exam = Labs = TOTAL 100 pts. 400 pts. 100 pts. 50 pts. ---------650 pts. Course Grade: 90 – 100% 80 – 89% 70 – 79% 60 – 69% 0 – 59% A B C D F Attendance Policy: Regular attendance is expected of all students. If a student is unable to attend, it is his/her responsibility to contact the instructor to obtain assignments. Withdrawal Policy: See the current Collin Registration Guide for the last day to withdraw. Americans with Disabilities Act: Collin College will adhere to all applicable federal, state and local laws, regulations and guidelines with respect to providing reasonable accommodations as required to afford equal opportunity. It is the student’s responsibility to contact the ACCESS office, room D118-I (CPC) or 972.548.6816 (V/TTD: 972.881.5950) to arrange for appropriate accommodations. See the current Collin Student Handbook for additional information. Collin College Academic Policies: See the current Collin Student Handbook. In regards to Scholastic Dishonesty (Academic Ethics), please check the Student Handbook to determine if there are any changes. This is from the 2014–2015 Student Handbook. Scholastic Dishonesty Every member of the Collin College community is expected to maintain the highest standards of academic integrity. Collin College may initiate disciplinary proceedings against a student accused of scholastic dishonesty. While specific examples are listed below, this is not an exhaustive list and scholastic dishonesty may encompass other conduct, including any conduct through electronic or computerized means. Scholastic dishonesty shall involve, but is not limited to, one or more of the following acts: General Scholastic Dishonesty includes, but is not limited to, statements, acts, or omissions related to applications for enrollment, credit or class work, research, and/or the award of a degree; falsifying academic records; using annotated texts or teacher’s editions; using information about exams posted on the Internet or in any electronic medium; leaving a test site without authority; failing to secure test materials; and/or submitting work that is not one’s own. All work submitted for credit is expected to be the student’s own work. Students are expected to record honestly and accurately the results of all their research. Falsification of research results includes misrepresentation, distortions, or omissions in data or reports on research. MATH 1342.C03 Spring 2015 Plagiarism is the use of an author’s words or ideas as if they were one’s own without giving credit to the source, including, but not limited to, failure to acknowledge a direct quotation. In the preparation of all papers and other written work, students must distinguish their own ideas and knowledge from information derived from other sources. The term “sources” includes not only published primary and secondary materials, but also information and opinions gained directly from other people. Whenever ideas or facts are derived from a source, the source must be indicated by the student. Cheating is the willful giving or receiving of information in an unauthorized manner during an examination or to complete an assignment; collaborating with another student during an examination without authority; using, buying, selling, soliciting, stealing, or otherwise obtaining course assignments and/or examination questions in advance; unauthorized copying of computer or Internet files; using someone else’s work for assignments as if it were one’s own; submitting or resubmitting an assignment (in whole or in part) for more than one (1) class or institution without permission from the professor(s); or any other dishonest means of attempting to fulfill the requirements of a course. Collusion is intentionally or unintentionally aiding or attempting to aid another in an act of scholastic dishonesty, including but not limited to, failing to secure academic work; providing a paper or project to another student; providing an inappropriate level of assistance or unauthorized collaboration; communicating answers to a classmate about an examination or any other course assignment; removing tests or answer sheets from a test site; and allowing a classmate to copy answers. Students found responsible for scholastic dishonesty offenses will receive an authorized disciplinary penalty or penalties from the Dean of Student Development Office. The student may also receive an academic penalty in the course where the scholastic dishonesty took place. The faculty member will determine the appropriate academic penalty. Note: For this class the academic penalty for scholastic dishonesty may include a grade of zero on the given test or assignment or, in some cases, a grade of F for the class. MATH 1342.C03 Spring 2015 Course Calendar: GENERAL DESCRIPTION OF THE SUBJECT MATTER OF EACH SECTION COVERED: Section 1.1 1.2 1.3 1.4 1.5 1.6 2.1 2.2 2.4 3.1 3.2 3.4 3.5 5.1 5.2 5.3 5.4 5.5 5.6 6.1 6.2 7.1 7.2 8.1 8.2 9.1 9.2 9.3 9.4 10.1 10.2 10.3 10.4 10.5 11.1 11.2 Topics Introduction to the Practice of Statistics Observational Studies vs. Designed Experiments Simple Random Sampling Other Effective Sampling Methods Bias in Sampling The Design of Experiments Organizing Qualitative Data Organizing Quantitative Data Graphical Misrepresentations of Data Measures of Central Tendency Measures of Dispersion Measures of Position and Outliers The Five-Number Summary and Boxplots Probability Rules The Addition Rule and Complements Independence and the Multiplication Rule Conditional Probability and the General Multiplication Rule Counting Techniques Choosing Methods for Probabilities Discrete Random Variables The Binomial Probability Distribution Properties of the Normal Distribution Applications of the Normal Distribution Distributions of the Sample Mean Distributions of the Sample Proportion Estimating a Population Proportion Estimating a Population Mean Estimating a Population Standard Deviation Choosing the Right Procedure for Confidence Intervals The Language of Hypothesis Testing Hypothesis Tests for a Population Proportion Hypothesis Tests for a Population Mean Hypothesis Tests for a Population Standard Deviation Choosing the Right Method for Hypothesis Testing Inference About Two Population Proportions Inference About Two Means: Dependent Samples MATH 1342.C03 11.3 11.5 4.1 4.2 Spring 2015 Inference About Two Means: Independent Samples Choosing the Right Method for Inferences Scatter Diagrams and Correlation Least-Squares Regression Note: (1) The instructor reserves the right to make changes to this syllabus during the semester. Changes will be announced during class or emailed to students’ school email addresses. MATH 1342.C03 TENTATIVE COURSE CALENDAR Date 1/19 1/26 2/2 2/9 2/16 2/23 3/2 3/9 3/16 3/23 3/30 4/6 4/13 4/20 4/27 5/4 5/11 Sections No Class 2.1, 2.2, 2.4 3.4, 3.5 5.3 5.4 6.1 7.1, 7.2 Spring Break Test 2 9.1, 9.2 9.4, 10.1 (10.3), 10.4 Test 3 finish 11.2, 11.3 4.1 Test 4 Final Exam 2:30-4:30 pm MATH 1342.C03 Date 1/21 1/28 2/4 2/11 2/18 2/25 3/ 4 3/11 3/18 3/25 4/1 4/8 4/15 4/22 4/29 5/6 5/13 SPRING 2015 Sections Intro, Ch. 1 3.1, 3.2 5.1, 5.2 Test 1 5.5, 5.6 6.2 (7.2), Review Spring Break 8.1, 8.2 (9.2), 9.3 10.2, 10.3 10.5 11.1, start 11.2 11.5 4.2 Review XXXXXXXX Important dates: January 19 March 9-15 March 20 - MLK Day, no classes. - Spring Break, no classes - Last day to withdraw from Spring classes. Lab Schedule (Tentative) Lab # Topic Lab 1 Frequency Distributions and Graphs (Ch. 2) Lab 2 Probability (Ch. 5) Lab 3 Normal Distribution (Ch. 7) Lab 4 Hypothesis Testing (Ch. 10) Lab 5 Linear Regression (Ch. 4) Spring 2015 Due ( 2:30 p.m.) 2/4 3/2 3/16 4/13 5/4 MATH 1342.C03 Spring 2015 STUDENT CLASSROOM BEHAVIOR: 1. Students should respect others at all times. 2. Students should arrive before the scheduled start of class and be seated and prepared for the start of class. Late arrivals should quietly take the nearest available seat to the door. Repeated tardiness may result in disciplinary action. 3. Cell phones should be turned off and placed out of view (in a bag or purse, for instance). Headsets (for music, phones, etc.) are not allowed. Laptop computers should not be used during class. With the exception of a calculator, all electronic devices are to be switched off during class, unless an exception is obtained from the instructor in advance. 4. Audio and/or visual recordings in the classroom are not allowed without the prior written approval of the instructor. 5. Sleeping in class is not allowed. Students resting their head on the desk or wall may be asked to leave the classroom. Attention to classroom instruction and activities is expected at all times. 6. Students are expected to remain in the classroom for the full duration of the class period. Students should only leave the room for emergencies and should notify the instructor of the nature of the emergency. 7. Socializing during class is inappropriate. When the instructor is speaking, they should have your full attention. When another student is asking a question of the instructor, they should have your full attention. Students may be assigned seating, as necessary. 8. Eating meals in the classroom is inappropriate. 9. Inappropriate or disruptive behavior may result in the student(s) being asked to leave the classroom and may also lead to disciplinary action. 10. Each infraction of a class rule may result in a ten point deduction from the student’s grade point total. Repeated or serious infractions may result in referral for disciplinary action.