MATH 201

ELEMENTS of STATISTICS and PROBABILITY

Monday Wednesday and Friday 9:00 to 10:40 AM    Room E100           5 UNITS

Instructor Wynn Walker

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 or one year whatever comes first.  When you first attempt to log on you will need to put in the following course ID:  walker41541

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, 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

Weekly Quizzes (In Class):  ..................................200 points

Exam 1:   April 29  ...............................................100 points

Exam II:   May 23  ...........................................100 points

Exam III:  June 17  ..............................................100 points

Project 1:  April 25  ............................................ 100 points

Project 2 March 7  ................................................ 100 points

Final Exam: June 22  ...........................................   200 points

  

Exam Policy Students are to bring calculators, pencils or pens, and paper to each exam. You may bring one 3" x 5" note card with writing on the front and back to each regular exam and two such note cards to the final 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 must let me know in advance.  With a valid excuse for a missed exam, the same score will be assigned to the missed exam as received on the final exam. No more than one of these three exams may be missed and the final exam can not be missed. In class quizzes cannot be made up.

Homework and Quiz Policy  Homework will be worked out online.  Homework is due every Saturday night at midnight but you should complete it before the in class quiz on Friday.  Homework 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.  For Project 2, students will conduct a survey and construct a confidence interval and perform a hypothesis test.  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.  



OFFICE HOURS:  To Be Announced



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.  If you do not yet have a calculator, the TI 84 will be easiest for you to use.

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    

April 4:             Introductions
                        1.1  Introduction to Statistics
                        1.2  Statistical Thinking
                        1.3:  Types of Data      
                        PowerPoint in PDF

April 6:             1.4:  Critical Thinking
                        1.5:  Collecting Sample Data
                        1.6:  Calculators and Statistics
                        PowerPoint in PDF

April 8:        Quiz (1.1, 1.2, 1.3, 1.4, 1.5,1.6)
                        Recap and Preview
                        Survey Design Questions


Week 2

April 11:           2.1:  Review and Preview
                        2.2:  Frequency Distributions 
                        2.3:  Histograms

April 13:           2.4:  Statistical Graphics
                        2.5:  Critical Thinking:  Bad Graphs
                        3.1:  Review and Preview
                        3.2:  Measures of Center
                        PowerPoint in PDF

April 15:          Quiz (2.1, 2.2, 2.3, 2.4, 2.5, 3.1, 3.2)
                        Recap and Preview


Week 3

April 18:           3.3:  Measures of Variation
                        3.4:  Measures of Relative Standing and Boxplots
                        PowerPoint in PDF
 

April 20:          4.1:  Review and Preview
                       4.2:  Basic Concepts of Probability
                       4.3:  Addition Rule
                    PowerPoint in PDF

April 22:       Quiz (3.3, 3.4, 4.1, 4.2, 4.3)
                  


Week 4

April 25:       Project 1 Due
                    4.4:  Multiplication Rules:  Basics
                    4.5:  Multiplication Rules:  Complements and Conditional Probability
                    PowerPoint in PDF

April 27         4.6:  Probabilities Through Simulations                  
                     4.7:  Counting
                     PowerPoint in PDF
                     Review For Exam 1

 April 29:     Exam 1 (Chapters 1-4)


Week 5

May 2:         5.1:  Review and Preview
                    5.2:  Random Variables
                    5.3:  Binomial Probability Distributions
                    PowerPoint in PDF
 

May 4:          6.1:  Review and Preview
                    6.2:  The Standard Normal Distribution
                    6.3:  Applications of Normal Distribution
                    PowerPoint in PDF

May 6:          Quiz (5.1, 5.2, 5.3, 6.1, 6.2, 6.3)
                     Recap and Preview
                 


Week 6

May 9:           6.4:  Sampling Distributions and Estimators
                     6.5:  The Central Limit Theorem
                     6.6: 
Normal as Approximation to Binomial
                    PowerPoint in PDF

May 11:         7.1:  Review and Preview
                      7.2:  Estimating a Population Proportion
                      PowerPoint in PDF

May 13:         Quiz (6.4, 6.5, 6.6, 7.1, 7.2)
                      Recap and Preview
                    


Week 7

May 16:         7.3:  Estimating a Population Mean: s Known
                      7.4:  Estimating a Population Mean:  s Unknown
                      PowerPoint in PDF

May 18:          8.1:  Review and Preview
                       8.2:  Basics of Hypothesis Testing
                       8.3:  Testing a Claim About a Proportion
                      Power Point in PDF

May 20:         Quiz (7.3, 7.4, 8.1, 8.2, 8.3)
                      Review for Exam 2
                      


Week 8

May 23:          Exam II:  (Chapters 5-8 excluding 8.4 and 8.5)

May 25:          8.4:  Testing a Claim About a Mean:  s Known
                       8.5:  Testing a Claim About a Mean:  s Unknown
                       Power Point in PDF

May 27:          9.1:  Review and Preview
                       9.2:  Inferences About Two Proportions
                       9.3:  Inferences about Two Means:  Independent Samples
                        PowerPoint in PDF
                      

 


Week 9

May 30:          Memorial Day

 

June 1:             9.4:  Inferences from Dependent Samples  
                       PowerPoint of Summary of CI and Hypothesis Tests

June 3:             10.1:  Review and Preview
                       10.2:  Correlation
                       PowerPoint in PDF


Week 10       

June 6:           Project 2 Due
                       10.3:  Regression
                       10.4:  Variation and Prediction Intervals
                       PowerPoint in PDF
 

June 8:           11.1:  Review and Preview
                     11.2:  Goodness of Fit
                     11.3:  Contingency Tables
                     PowerPoint in PDF
                     YouTube on How to Program the Goodness of Fit into the TI83

June 10:         Quiz (10.3, 10.4,11.1, 11.2, 11.3)
                      Recap on Regression Analysis


Week 11

June 13:        12.1:  Review and Preview
                     12.2:  1-Way Anova

June 15:         Review
                      PowerPoint in PDF

June 17:          Exam 3 (8.4 and 8.5 and Chapters 9-11)


Week 12

June 22:             ( 10:00 - 11:50 AM):  Final Exam  (Comprehensive)


HOW TO SUCCEED IN A MATH CLASS

  •  Come to every class meeting.
  •  Arrive 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.
  •  Start preparing for the tests at least a week in advance.
  •  Spend about half of your study time working with your classmates.
  •  Take advantage of tutors and office hours, extra help can make a big difference.