Math 201-2          Statistics                       

Spring 2006                                                                5 Units

Instructor:  Bic Ha Olson                                            Office:  A204 

Meeting Times:  Tuesday, Thursday 6:00  – 8:25 PM

Meeting Place:  Room A211        

Email:  Olson@ltcc.edu                                               Phone: 541 – 4660 Ext. 368

(Please add me to your address book so that my group emails are recognized and not SPAM)  

LTCC Math homepage:  http://www.ltcc.edu/depts/math/

Office Hours:             Monday:         5:10 – 6:10   @ HS PC 4 Until May 10, 2006

                                    Tuesday:         3:30 – 5:00 PM   @ Office: A204

                                    Wednesday:  5:10 – 6:10   @ HS PC 4 Until May 10, 2006

                                    Thursday:       4:00 – 5:30 PM @ Office: A204

                                    Or By Appointment

The best way to contact me is to call my college extension, 541-4660 EXT 368.  If I am not in my office, please leave me a message with your name and phone number. 

Required Text Understandable Statistics Eighth Edition  by Brase/Brase

Course Description This course will cover data analysis including probability, distributions, sampling, estimation, hypothesis testing, confidence intervals, regression analysis, and ANOVA.

Prerequisite A grade of C or better in Math 154 or an equivalent class within the past two years, or a satisfactory score on the assessment test.

As a Courtesy to everyone in class, please turn off your cell phones.  Thank you.

 

Students with disabilities must identify themselves to me within the first two weeks of class.

Accommodations for Students with Disabilities: Students requiring accommodations for a certain disability that may affect class performance are requested to schedule with a staff member at the DRC to discuss this during the first week of the quarter so that appropriate arrangements can be made.        Course materials available in alternate format. 


 

Course Objectives

  • Understand basic fundamental statistical theories and how these theories are applied to real world phenomena.
  • Understand the basics of probability theory and probability distributions which will be applied to the statistical tools presented.
  • Demonstrate a working knowledge of statistical estimation concepts.
  • Understand hypotheses testing and confidence intervals.
  • Become proficient with utilizing a computer for the analysis of data.
  • Follow current events that make use of statistical concepts.

Grading:  Your class letter grade will be based on the usual grading scale:

 

A:  90% and above,     B: 80-89%,      C: 70-79%,        D: 60-69%,    F: 59% and under

 

                        Homework  (52.9% of 280 points )               148 points

                        Weekly Quizzes (8 @ 4 points each)              32 points

Midterm Exam 1                                            150 points

Midterm Exam 2                                            150 points

Midterm Exam 3                                            150 points

Projects (2 @ 60 points each)                        120 points

                        Comprehensive Final Exam:              250 points      

                        Total                                                               1000 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 take the exam up to two days before the exam is scheduled without penalty. Arrangements must be made with me in advance.  There is a 10% penalty for all make up exams.  Make up exams must be taken within three college days of the missed exam.

Homework Policy: READ each section before class lecture.  The use of computers or calculators is strongly recommended. Also, feel free to consult a fellow classmate, a tutor, your instructor, or anyone else for assistance on the homework.  Each SECTION is worth 7 points.  Homework is due every Thursday.  Each assignment is listed in the syllabus under “Lecture” with the sections that are due for that week. Late Homework that is turned in within one week of the due date will be counted as half credit. Homework turned in more than one week after the due date receives no credit.

Weekly Quizzes:  The first five minutes of Thursday's class will be a quiz that covers the main points from the homework that is due.  Quizzes CANNOT be made up.  Total Quizzes are worth 3.2% of the Class Grade.
Projects:  Each project will include the computer results and a narrative that describes data collection or source, background information, explanation of the data, appropriate graphs, interpretations, assumptions made and conclusions.  The projects must be typed, double space, and have 12-point font. 

Project I is due Tuesday, May 16, 2006. A list of specific requirements for the project will be handed out 4 weeks before the due date.

Project II is due Thursday, June 15.  A list of specific requirements will be handed out when project I is turned in. 

Late projects will be deducted 10% for every day late.

All late work for credit must be turned in by the time of the final exam.  No work will be accepted after this date for credit.

 

In this class, it is your responsibility to drop the class in order to avoid an unwanted grade. 

You must go to Admissions & Records.

Friday, April 14, 2006 is the last day for refunds.

Friday, April 28, 2006 is the last day to drop with no record.

Friday, June 2, 2006 is the last day to withdraw with a “W” grade.

 

CALCULATORS: A scientific calculator with built-in one and two variable statistics functions is required for this class.  The TI-30X IIS is one such calculator that is inexpensive.  Top of Form

The Gateway Math Center has free math tutoring for all registered students.  The computers at the GMC are available to do homework assignments.  Please Log-in and Log-out so that the facility gets the funds it needs.

Student Outcomes
The successful student will:
1. understand basic fundamental statistical theories and how these theories are applied to real world phenomena
2. understand the basics of probability theory and probability distributions which will be applied to the statistical tools presented
3. demonstrate a working knowledge of statistical estimation concepts
4. understand hypotheses testing and confidence intervals
5. become proficient with utilizing a computer for the analysis of data
6. follow current events that make use of statistical concepts.


 

Tentative Lecture Schedule for Math 201 (Tuesday, Thursday)

 

Date                            Section  Topic                                                                         Exercises

April 4              Introductions, Syllabi                                                                                                                            1.1       What is Statistics?                                                         3, 8, 9.
                        1.2        Random Samples                                                         1, 5, 10.
                        1.3       Experimental Design                                                     1, 3, 6.   
                        Applet for Random Numbers             

April 6              Quiz 1    HW 1: Sections 1.1 – 1.3                                                                                            2.1         Bar, Circle, and Time Plots                                         1, 9, 12.                                               2.2         Histograms                                                                      7, 12, 13                                               2.3        Stem and Leaf  ( Split & back to back stem-leaf)     2, 5, 12 
               Statcrunch for Graphs

April 11            3.1        Mode, Median, and Mean                                           3, 7, 16
                        3.2        Measures of Variation                                      2ace, 5bcd, 8.
                       3.3        m and s for Grouped Data                                            1, 6, 11                                                Statcrunch & Applet to Find Statistics of Grouped Data 

April 13            Quiz 2    HW 2:  Sections 2.1 – 2.3, 3.1, 3.2
                        3.4        Percentiles and Boxes                                    4, 7, 13.
                        4.1         Probability                                                     4, 7, 15.                                               4.2         Probability Rules                                                4, 5, 7, 10, 23, 27.                              More on Statcrunch

April 18            4.3         Trees and Counting                                        3, 9, 12, 23, 29.
                        5.1          Random Variables and Distributions                           1, 6, 11.
                        Librarian visit.

April 20            Quiz 3     HW 3:  Sections 3.3, 3.4, 4.1, 4.2                                                                                       5.2        Binomial Probabilities  (May use Appendix11-15)   3, 6, 13, 15.
                        6.1        The Normal Distribution                                  3, 7, 10, 15.

 

Date                            Lecture  Section  Topic                                                    Exercises

April 25            6.2         Area Under the Standard Normal Curve          3, 7, 35, 40.  
                        6.3         Area Under a General Normal Curve               3, 13, 15, 19, 26, 29.

April 27           MIDTERM 1    Chapters 1, 2, 3, 4, 5.1, 5.2             HW 4:  Sections 4.3, 5.1, 5.2,   

May 2              Return Midterm 1,

 6.4         Binomial and Normal Distributions                      3, 7, 8, 11.
            7.1        Sampling Distributions                                           3, 4, 5.                               

May 4              Quiz 4, HW 5:  Sections 6.1 – 6.4                                                                                                      7.2         The Central Limit Theorem                                   3, 6, 11, 15.                                               7.3         Distributions for Proportions                                3, 5, 6, 9.             

May 9              8.1         Estimating m (s Known)                                    3, 5, 8, 11bc.
8.2         Estimating m (s Unknown)                                3, 5b, 8b, 11bc.                        

May 11            Quiz 5, HW 6:  Sections 7.1 – 7.3, 8.1

8.3        Estimating p                                                       1, 6, 13, 17.              

8.5        Two Sample Differences                                   1bc,  2bc, 11, 13bc. 

 

May 16           Project 1 Due

8.4        Choosing the Sample Size                                   5, 6, 11, 15. 

9.1        Hypothesis Testing                                           (All a-e) 5, 9, 14.        

May 18            Quiz 6, HW 7:  Sections 8.2 – 8.5

9.2        Hypothesis Tests For m                        (All a-e) 3, 4, 9, 13 (No verifying)        9.3        Hypothesis Tests for a Proportion          (All a-e)  3, 4, 5, 11.                         

May 23           MIDTERM 2             Chapters 6, 7, 8

                                                                                               

Date                            Section  Topic                                                                Exercises

May 25            HW 8:  Sections 9.1 – 9.3      Return Midterm 2                                                                                 9.4         Tests with Paired Differences           (All a-e) 3, 4, 11, 13(No verifying)                                  9.5         Differences in Independent Samples    (All a-e)  1, 5, 10, 19.                     

May 30            10.1       Paired Data, Scatter Plots & Linear Correlation  5, 7, 8, 11 (No verifying)                              10.2      Linear Regression                                  (All a-e)  1, 6, 9, 13 (No verifying)                                        

June 1              Quiz 7, HW 9:  Sections 9.4, 9.5, 10.1, 10.2                                                              10.3     Inferences for Correlation                          (bde only)   3, 5, 6                    11.1      Chi-Square                                                   (All a-e)  1, 5, 7, 10   

Larry Green’s Applet       

June 6              11.2      Goodness of Fit                                            (All a-e)  1, 4, 7, 9, 12                            11.4     Comparing Variances                                     (All a-e)  3,  4, 9                          

June 8              Quiz 8, HW 10:  Sections 10.3, 11.1, 11.2                                                                                         11.5     One Way ANOVA                                      (acde) 3, 5, 6 (use statcrunch)                                       11.6     Two Way ANOVA                                  3, 4, 5 (use text printout)

            Website: http://home.ubalt.edu/ntsbarsh/Business-stat/otherapplets/ANOVATwo.htm

June 13           MIDTERM 3             Chapter 9, 10.1 – 10.3, 11.1, 11.2, 11.4

June 15            Project II Due,  HW 11:  Sections 11.4 – 11.6                                                                                 Return Midterm III, Review Final

Tuesday, June 20, 2006 Comprehensive Final Exam 4:00 – 5:50 PM