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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: WC1 Meeting Times and Location: Online course – no onsite meetings (other than testing). A typical student should expect to spend 10 – 15 hours each week studying for this class. This class is not self-paced – students must follow the due dates in the schedule. Minimum technology requirements: Please view the Systems Requirements page at MyStatLab for supported browsers. Daily internet access to Cougarweb and MyStatLab is a necessity. Netiquette expectations: All emails for this course should be sent via Cougarmail. Students should always include the course name/number, as well as their own name, in communications. Be sure to include appropriate subject headings with emails. Most emails will be responded to within 48 hours (normally within 24 hours). 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. MATH 1342.WC1 Spring 2015 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: etext is included online at MyStatLab.) Supplies: Required: Graphing calculator (TI-83 or TI-84), pencils, erasers, notebooks. Access code for MyStatLab. 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: Reading the eText, watching the corresponding online videos, completing assignments and labs, completing exams, completing the final exam and knowledge of calculator use are all required. (Note, again, that a typical student is expected to spend 10-15 hours each week studying for this class.) Grading may be based on quality and clarity of work and not just the final answer. Appropriate mathematical notation should be used at all times – an important part of studying the text is learning, by example, correct mathematical notation. Brief Description Of Major Course Requirements: MyStatLab: Students must register for this class at MyStatLab. To register you will need to provide the course ID, which is: sauter66134. Registration requires purchasing access to the course, which includes the eText for the class. MyStatLab offers a grace period for temporary access – so all students are expected to register on the first day of class. Readings: Assigned sections of the text should be thoroughly studied before attempting the corresponding homework assignments. MATH 1342.WC1 Spring 2015 Videos: In the ‘Multimedia Library’ of the course on MyStatLab there are a number of videos for each section explaining the covered topics. Students are expected to watch these videos (in combination with studying the text) in lieu of course lectures. Watching videos, as with studying the text, is a good way of learning correct mathematical notation and understanding the work that is to be shown when solving problems. (Note that the videos are not always listed in the order the topics are covered in the text.) Homework: Homework assignments are located on MyStatLab. Students are allowed an unlimited number of attempts on homework assignments. A score of 70% on each homework assignment is required before being allowed to take the corresponding test. It is good practice to solve each problem clearly and completely on scratch paper before entering your answer in MyStatLab. Always compare your work with that shown in the text. The FINAL deadline (with no penalty) for the homework assignments for each week is the following Monday at 11:59 pm. However, the readings and assignments should be done on a daily basis and substantially completed at least two days before that, in order to leave time for technology complications, test review, personal circumstances, etc. Tests: There will be four regular tests. These must be taken at one of the Collin College Testing Centers as per the schedule. There are no make-up tests. The lowest of these test scores may be replaced with the final exam score. (Students expecting to be out of the local area for any of the tests or the final exam should notify me by January 21st to begin making alternate arrangements.) Students are not allowed to use notes during tests. A department approved formula sheet will be provided. Your calculator memory will be cleared before and after taking each test in the Testing Center. Please see CougarWeb for current Testing Center hours. The tests will be taken on MyStatLab. Sharing information about tests with other students is a violation of Collin College Academic Policies and grounds for failure in the course and other disciplinary measures. Final Exam: The Final Exam is comprehensive and must be taken on the scheduled dates. Labs: There will be six labs worth ten points each. The lowest of the six lab scores will be dropped. Labs are due as listed on the schedule page. Grading is based on correct work, as well as correct answers. 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 MATH 1342.WC1 Spring 2015 Tutoring Services: Students may get help in various ways, here are several: a. See or call me during office hours. b. Email me with questions. If it is concerning a specific homework problem, always indicate the section number and problem number (as well as the course) in the email. c. The Math Labs at CPC, SCC, and PRC are available to all students – please see CougarWeb for current hours at each campus. Student Technical Support: If you experience problems with CougarWeb or Blackboard, please call Collin College’s technical support at (972) 377-1777. For technical problems with MyStatLab, please click on ‘Help and Support’ in MyStatLab. Attendance Policy: This is an online course. Attendance is based on completing the online assignments and taking the required tests. 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.WC1 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.WC1 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.WC1 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.WC1 TENTATIVE COURSE CALENDAR Week 1/18 – 1/24 1/25 – 1/31 2/1 – 2/7 2/8 – 2/14 2/15 – 2/21 2/22 – 2/28 3/1 – 3/7 3/8 – 3/14 3/15 – 3/21 3/22 – 3/28 3/29 – 4/4 4/5 – 4/11 4/12 – 4/18 4/19 – 4/25 4/26 – 5/2 5/3 – 5/9 5/10 – 5/16 MATH 1342.WC1 SPRING 2015 Sections Intro, Ch. 1, 2.1, 2.2, 2.4 3.1, 3.2 3.4, 3.5, 5.1, 5.2 5.3, Test 1 5.4, 5.5, 5.6 6.1, 6.2 7.1, 7.2 Spring Break Test 2, 8.1, 8.2 9.1, 9.2, 9.3 9.4, 10.1, 10.2, 10.3 10.4, 10.5 Test 3, 11.1, 11.2 11.3, 11.5 4.1, 4.2 Test 4, Review for Final Final Exam 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) Test Dates Test Name Test 1 Test 2 Test 3 Test 4 Final Exam Spring 2015 Due ( 1 p.m.) 1/31 2/28 3/15 4/12 5/3 Dates Available in Testing Center 2/11 – 2/14 3/16 – 3/18 4/11, 4/13 – 4/15 5/2, 5/4 – 5/6 5/11 – 5/16