MATH 201

ELEMENTS of STATISTICS and PROBABILITY

 Monday, Wednesday, Friday 9:00 to 10:40 AM in E100    5 UNITS

Instructor Larry Green

Internet

 

Textbook: Instead of a traditional textbook, this class will use a free 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

  1. Design and implement an unbiased study that will produce sound statistical results.
  2. Generate and interpret statistics graphs from data that arise from surveys and experiments.
  3. Implement the rules of probability.
  4. Apply confidence intervals and test hypotheses to make conclusions about data that come from practical applications.
  5. Perform regression analysis to make informed predictions about relationships between quantitative variables.
     

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:  Oct 5 ...............................................100 points

Exam II:  Nov 2...............................................100 points

Exam III: Nov 30 ..............................................100 points

Project 1: Oct 12 ............................................ 100 points

Project 2: Nov 19............................................... 100 points

Final Exam:  Dec 5.........................................   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 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 recommended that you work on your quiz before Friday's class so that you can ask your instructor questions during class and succeed on the in class quizzes.  During exam week, homework and quizzes will be due on Wednesday.  Time extensions will not be given, but students will be able to work on "late" assignments for no credit by 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:

Monday  ............................  10:40 to 11:40        MSC

Monday  ............................  12:00 to 1:00          A210

Tuesday..........................      11:00 to 12:00        MSC

Wednesday ....................      12:00 to 1:00          A210

Friday........................            10:40 to 11:40        A210

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 don’t 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       

Sept 17:        Introductions, start Chapter 1                 

Sept 19:        Finish Chapter 1, start Chapter 2

Sept 21:        Quiz, Q&A and Discussion            

Week 2           Chapter 2:  Descriptive Statistics,  Chapter 3:  Probability

Sept 24:            Chapter 2 Continued Start Chapter 3

Sept 26:          Finish Chapter 3

Sept 28:          Quiz, Q&A, and Discussion of Project 1

Week 3           Chapter 4: Discrete Random Variables, Exam 1

Oct 1:             Chapter 4

Oct 3:          Review for Exam 1 (Chapter 4 Homework and Quiz due)

Oct 5:          Exam 1 (Chapters 1-4)          

Week 4       Chapter 5:Continuous Random Variables,  Chapter 6:  The Normal Distribution, Project 1

Oct 8:       Chapter 5                   

Oct 10:      Start Chapter 6                                    

Oct 12:      Quiz, Discussion, Project 1 Due              

Week 5  Chapter 6:  The Normal Distribution,  Chapter 7: The Central Limit Theorem

Oct 15:         Finish Chapter 6

Oct 17:           Start Chapter 7         

Oct 19:          Quiz, Q&A and Discussion

Week 6          Chapter 7 (continued) ,   Chapter 8:  Confidence Intervals

Oct 22:          Chapter 7 (continued)

Oct 24:          Chapter 8

Oct 26:        Quiz, Q&A and Discussion

Week 7         Chapter 8 (continued), Chapter 9:  Hypothesis Testing:  1 Sample  

Oct 29:         Finish Chapter 8, start Chapter 9

Oct 31:         Review for Exam  II

Nov 2:         Exam II:  (Chapters 5-8)         

Week 8           Chapter 9:  Hypothesis Testing:  1 Sample, Chapter 10:  Hypothesis Testing:  2 Samples

Nov 5:         Finish Chapter 9

Nov 7:         Chapter 10

Nov 9:         Quiz, Q&A and Discussion, Begin Chapter 11

Week 9           Chapter 11:  Chi-Square Tests

Nov 12:          Veteran's Day

Nov 14:           Finish Chapter 11
                       Link to Test for Homogeneity

Nov 16:             Quiz, Q&A and Discussion, Project 2 Discussion

Week 10         Chapter 12:  Linear Regression and Correlation, Project 2 

Nov 19:             Project 2 Due
                        Chapter 12

Nov 21:            Chapter 12 Continued        

Nov 23:            Happy Thanksgiving Weekend 

Week 11         Chapter 13:  F Distribution and ANOVA, Exam 3

Nov 26:         Chapter 13

Nov 28:         Review for Exam 3 and Final Exam

Nov 30:         Exam 3 (Chapters 9-13) Chapter 13

Week 12

Dec 3:           Study for the Final.  No lecture or class meeting.

Dec 5:             ( 10:00 -11:50 AM):  Final Exam  (Comprehensive)

HOW TO SUCCEED IN A MATH CLASS

  •  Get to class early, get yourself settled, spend a few minutes looking at your notes from the previous class meeting, and have your materials ready when class starts.
  •  Read each section before it is discussed in class.
  •  Do some math every day.
  •  Spend about half of your study time working with your classmates.
  •  Start preparing for the exams at least a week in advance.
  • Submit your homework and quizzes at least 24 hours before it is due.  Computer problems always seem to occur at the worst times.
  • Come to the Math Success Center.
  • Get help from a tutor or from your instructor whenever you are confused.  Your instructor is there to help you pass.  With hard work, many hours on task, and persistence, you can achieve your goals.