MATH 201 ELEMENTS of STATISTICS and PROBABILITY Tuesday and Thursday 1:00 to 3:25 PM in E100 5 UNITS Instructor Larry Green Internet
Textbook: Instead of a traditional textbook, this class will use an interactive multimedia online learning system. Printed versions are for sale in the college bookstore. Course Description This course will cover data analysis including probability, distributions, sampling, hypothesis testing, confidence intervals, regression analysis, and nonparametric analysis. Student Learning Outcomes
Prerequisite A grade of C or better in Math 154A or an equivalent class within the past two years, or a satisfactory score on the assessment test. Grading Policy Your letter grade will be based on your percentage of possible points. A 90 -- 100% C 70 -- 79% B 80 -- 89% D 60 -- 69% Quizzes (Online): ...............................................75 points Homework (Online): . 75 points Weekly Quizzes (In Class): ............................150 points Exam 1: Feb 7 ..................................................150 points Exam II: March 14 ...........................................150 points Project 1: Jan 24 .............................................. 100 points Project 2: March 7 ........................................... 100 points Final Exam: March 28..................................... 200 points
Exam Policy Students are to bring calculators, pencils or pens, and paper to each in class exam. A single 3"x5" note card may also be used. The note card can have writing on both sides. Grading will based on the progress towards the final answer, and the demonstration of understanding of the concept that is being tested, therefore, work must be shown in detail. There are no makeups for midterms. With a valid proven medical excuse, the missed midterm will not be counted toward the grade. The final exam cannot be taken late. Homework and Quiz Policy Homework and Computer Quizzes are delivered and taken online via the Moodle. It is strongly recommended that you keep a journal of the written responses to the homework and quiz questions. This will help you prepare for the projects, midterm and final exam. Homework are Quizzes are due at 11:55 PM on Sundays, but it is required that you work on your homework and quiz before Thursday's quiz so that you can ask your instructor questions during class and succeed on the in class quizzes. Those who have attempted the homework and quiz for the week and have received at least 50% on each will be allowed to bring in a 3x5 note card to the in class quiz. Time extensions will not be given, but students will be able to work on "late" assignments for no credit but plenty of learning. Homework and quizzes can be taken repeatedly before the due date and only the highest score will be counted towards your grade. Projects Two projects will be created for this class. For Project 1, students will collect quantitative data and use a computer to display each of the charts discussed in class. For Project 2, students will conduct a survey and construct a confidence interval and perform a hypothesis test. Each project will include the results results and a narrative describing data collection, assumptions made, background information, how the data was analyzed, and conclusions. Unless specifically stated, all results must be computed using a computer or Statistics calculator and the computer generated results must be included with the project. The projects should be typed, double spaced, and have 12 point font. Students are to work in pairs or trios. A 15% penalty will be incurred on any student who cannot work with another student. Rubric for the Project Grades. I will be happy to look at a rough draft of your paper if you can bring or email it to me at least 24 hours before it is due. After receiving feedback, you can ask more questions, but only one rough draft of the paper will be reviewed by me. Office Hours: CALCULATORS: The TI 83, TI 84+ is required for this course. There are a limited number of TI 84+ calculators available for rent for $5 at the Library. A TI 89 will also work for this course, but you will need to download the TI 84+ App to make it workable. LEARNING DISABILITIES: If you have a learning disability, be sure to discuss your special needs with me. Learning disabilities will be accommodated and you may contact our disability resource center by email or by phone at (530) 541-4660 x 384. TUTORING: Tutors are available at no cost in A 201 (The Math Success Center). CELL PHONES: Cell phones must be turned off while class is in session. A 5% penalty will be given to any student whose cell phone goes off during a quiz or exam. A WORD ON HONESTY: Cheating or copying will not be tolerated. People who cheat dilute the honest effort of the rest of us. If you cheat on a quiz, exam, or project you will receive an F for the course, not merely for the test. Other college disciplinary action including expulsion might occur. Please dont cheat in this class. If you are having difficulty with the course, please contact me. LECTURE AND EXAM SCHEDULE (tentative and subject to change) Week 1 Chapter 1: Sampling Data , Chapter 2: Descriptive Statistics Jan 8: Introductions, start Chapter 1 Jan 10: Quiz on Chapter 1, Start Chapter 2 Week 2 Chapter 2: Descriptive Statistics Jan 15: Finish Chapter 2 Jan 17: Quiz on Chapter 2; Start Chapter 3 Week 3 Chapter 3: Probability, Chapter 4: Discrete Random Variables, Project 1 Jan 22: Finish Chapter 3 Jan 24: Quiz on Chapter 3 and Chapter 4, Project 1 Due Week 4 Chapter 5:Continuous Random Variables, Chapter 6: The Normal Distribution Jan 29: Chapter 5 Jan 31: Quiz on Chapter 5; Chapter 6 Week 5 Chapter 7: The Central Limit Theorem, Exam 1 Feb 5:
Chapter 7, Review for Exam 1 Feb 7: Exam 1 (Chapters 1-6) Week 6 Chapter 8: Confidence Intervals Feb 12: Chapter 8 Feb 14: Quiz on Chapter 8; More on Chapter 8 Week 7
Chapter 8 (continued), Chapter 9: Hypothesis Testing: 1
Sample Feb 19: Chapter 9 Feb 21: Quiz on Chapter 9; More on Chapter 9 Week 8 Chapter 10: Hypothesis Testing: 2 Samples Feb 26: Finish Chapter 10 Feb 28: Quiz on Chapter 10; More on Chapter 10, Project 2 Discussion Week 9 Chapter 11: Chi-Square Tests, Project 2 Mar 5: Chapter 11 Mar 7:
Quiz on Chapter 11; More on Chapter 11,
Project 2 Due Week 10 Chapter 12: Linear Regression and Correlation, Mar 12: Chapter 12, Review for Exam II Mar 14: Exam II: (Chapters 7-11) Week 11 Chapter 13: F Distribution and ANOVA, Exam 3 Mar 19: More on Chapter 12, Chapter 13 Mar 21: Quiz on Chapters 12 and 13; Review for Final Exam Week 12 Mar 26: Study for the Final. No lecture or class meeting. Mar 28: ( 1:00 -2:50 PM): Final Exam (Comprehensive) HOW TO SUCCEED IN A MATH CLASS
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