MATH 201

ELEMENTS of STATISTICS and PROBABILITY

 5 UNITS

Instructor Wynn Walker

Internet

 

Text: Instead of a traditional textbook, this class will use an interactive multimedia online learning system.  

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): ...............................................100 points

Homework (Online):…………………………. 50 points

Weekly Quizzes (In Class):  ..................................150 points

Exam 1:  ...............................................100 points

Exam II:  ...........................................100 points

Exam III: ..............................................100 points

Project 1: ............................................ 100 points

Project 2................................................ 100 points

Final Exam:...........................................   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 is not turned in but is an essential part of this course.  Each week the assignment will be posted on 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.  Quizzes are due at 11:55 PM on Sundays, but it is recommended that you complete your quiz by Saturday night.  Quizzes may be taken many times (before 11:55 PM on Sunday) until you are satisfied with you score. 

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. If you cannot work with a partner, then speak to your instructor about the possibility of working as a trio.  A 10% 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 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 me. 



OFFICE HOURS:  TO BE ANNOUNCED



CALCULATORS: The TI 83, TI 84+ is required for this course. 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 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). 

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       

April 2:        Introductions, start Chapter 1                 

April 4:       Quiz , finish Chapter 1, start Chapter 2
                       


                       


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

April 9:           Chapter 2 continued

April 11:          Quiz, Chapter 2 continued, Discuss Project 1


Week 3           Chapter 3:  Probability

April 16:          Chapter 3 

April 18:          Quiz, Chapter 3 (continued)                  

       
                  


Week 4 Chapter 4: Discrete Random Variables, Chapter 5:Continuous Random Variables

April 23:       Project 1 Due
                   Chapter 4                   

April 25:      Chapter 5                  
                   Review for Exam 1                     


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

April 30:         Exam 1 (Chapters 1-4)
 

May 2:          Chapter 6, start Chapter 7
                 


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

May 7:          Chapter 7 (continued)

May 9:         Quiz, start Chapter 8


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

May 14:         finish chapter 8, start Chapter 9

May 16:          Quiz, Chapter 9 (continued), Review for Exam  II


                    Review for Exam 2               


Week 8           Chapter 10:  Hypothesis Testing:  2 Samples

May 21:          Exam II:  (Chapters 5-8)

May 23:          Chapter 10


Week 9           Chapter 11:  Chi-Square Tests

May 28:          Memorial Day Holiday

May 30:           Chapter 11


Week 10         Chapter 12:  Linear Regression and Correlation       

June 4:           Project 2 Due
                       Chapter 12

June 6:        Quiz,  Review for exam 3                 


Week 11         Chapter 13:  F Distribution and ANOVA

June 11:        Exam 3 (Chapters 9-12) Chapter 13

June 13:        Chapter 13, Review for final exam


Week 12

June 18:             ( 6:00-7:50 PM):  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.