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MATH 201 ELEMENTS of STATISTICS and PROBABILITY Monday Wednesday and Friday 9:00 to 10:40 PM Room A213 5 UNITS Instructor Larry Green Office Phone Number 541-4660 Extension 341 Internet
Text (Optional): Elementary Statistics Using the TI 83-84 Plus Calculator 3rd Edition by Mario Triola. Required Software License : It is required to have a software license to use the software MyStatLab in this class. Students have two choices. The first choice is to purchase the textbook new from the bookstore. The textbook comes with the software license. The second choice is to purchase the license alone either from the bookstore or online at coursecompass.com. The license gives you access to the textbook online. This is a more economical choice, but is only recommended to students who have online access and feel comfortable reading a computer screen instead of a traditional book. If you purchase a used textbook, you will also need to purchase the software license. The software license is valid as long as the student uses the same textbook. When you first attempt to log on you will need to put in the following course ID: green26721. 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% Homework (Online): ...............................................100 points Quizzes (Online): ..................................................100 points Weekly Quizzes (In Class): .................................100 points Exam 1: October 11 ...............................................100 points Exam II: November 8 ..........................................100 points Exam III: December 3 .........................................100 points Project 1: October 6 ........................................ 100 points Project 2: November 17 ....................................... 100 points Final Exam: December 8 ( 10:00 - 11:50 AM) ....... 200 points
Exam Policy Students are to bring calculators, pencils or pens, and paper to each exam. 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. Any student who cannot make it to an exam may elect to take the exam up to two days before the exam is scheduled. Without a proven medical excuse, a 10% per day penalty will be given for each day the exam is taken late. If all homework and online quizzes are completed with a score of at least 50%, then the regular exam with the lowest score will be dropped. Homework and Quiz Policy Homework and quizzes will be worked out online. Homework is due every Saturday night at midnight but can always be submitted earlier. Quizzes are due on Midnight on Sunday and can also be submitted earlier. Quizzes may be taken many times (before midnight on Sunday) until you are satisfied with you score. It is highly recommended that you aim to complete the homework and submit the quiz at least 24 hours before the due date so that you can prepare for any unforeseen computer or other issues. Homework and quizzes may be worked on after the after the due date, but points will not be awarded. To work on a homework assignment or a quiz after the due date, go to the item labeled "Late" in the list. This can be especially helpful for review. You may also go to your Study Plan to review. 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. Click here for a video explanation of StatCrunch for Project 1. For Project 2, students will conduct a survey and construct a confidence interval and perform a hypothesis test. Click here for a video explanation of StatCrunch for Project 2. Each project will include the computer 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 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. If you cannot work with a partner, then speak to your instructor about the possibility of working as a trio. A 5% penalty will be incurred on any student who cannot work with another student. Rubric for the Project Grades. Larry will be happy to look at a rough draft of your paper if you can bring or email it to him 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 Larry. OFFICE HOURS: Monday ............................ 1:00 to 2:00 A210 Tuesday.......................... 1:00 to 2:00 A210 Wednesday .................... 1:00 to 2:00 MSC Thursday........................ 10:00 to 11:00 MSC Friday........................ 1:00 to 2:00 A210 CALCULATORS: The TI 83, TI 84+ is required for this course. The TI 89 with the TI 83/84 downloaded or the TI nSpire will also work for this class. There are a limited number of TI 84+ calculators available for rent for $10 at the Library.
LEARNING DISABILITIES: If you have a learning disability, be sure to discuss your special needs with Larry. 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). 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 or exam you will receive an F for the course, not merely for the test. Other college disciplinary action including expulsion might occur. Please don’t cheat in this class. If you are having difficulty with the course, please contact me.
LECTURE AND EXAM SCHEDULE
Week 1
September 20: Introductions
September 22: 1.3: Types of Data
September 24: Quiz (1.1, 1.2, 1.3, 1.4, 1.5) Week 2
September 27: 2.3: Histograms
September 29: 3.1: Review and Preview
October 1: Quiz (1.6, 2.1, 2.2, 2.3, 2.4, 2.5, 3.1, 3.2,3.3) Week 3
October 4: 4.1: Review and Preview
October 6: Project 1 Due
October 8: Quiz (3.3, 3.4, 4.1, 4.2, 4.3, 4.4, 4.5,4.6) Week 4 October 11: Exam 1 (Chapters 1-4)
October 13: 5.1: Review and Preview
October 15: 5.3: Binomial Probability Distributions Week 5
October 18: 6.1: Review and Preview
October 20: 6.4: Sampling Distributions and Estimators
October 22: Quiz (5.1, 5.2, 5.3, 5.4, 6.1, 6.2, 6.3, 6.4, 6.5) Week 6
October 25: 7.1: Review and Preview
October 27: 7.3: Estimating a Population Mean:
s Known
October 29: Quiz
(6.6, 7.1, 7.2, 7.3, 7.4) Week 7 November 1: 8.1: Review and Preview November 3: 8.4: Testing a Claim About a Mean: s
Known November 5:
Quiz (7.4, 8.1, 8.2, 8.3, 8.4, 8.5) Week 8 November 8: Exam II: (Chapters 5-8)
November 10: 9.1: Review and Preview November 12: Happy Veteran's Day Week 9 November 15: 10.1: Review and Preview November 17: Project 2 Due November 19:
Quiz (9.1, 9.2, 9.3, 9.4, 10.1,
10.2, 10.3, 10.4) Week 10 November 22: 11.1: Review and Preview November 24: 11.3: Contingency Tables November 26: Happy Thanksgiving Week 11 November 29: 12.1: Review and Preview December 1: Review December 3: Exam 3 (Chapters 9-12) Week 12 December 8 ( 10:00 - 11:50 AM): Final Exam (Comprehensive) HOW TO SUCCEED IN A MATH CLASS
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