Math 201-2          Statistics                       

Spring 2007                                                                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 homepage:  http://www.ltcc.edu/

Office Hours:             Monday:         4:00 – 5:00 PM  @ GMC (G4)

                                    Tuesday:         5:00 – 6:00 PM  @ Office: A204

                                    Wednesday:  12:30 – 1:30 PM @ Office: A204

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

                                    Thursday:       4:30 – 6:00 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, confidence intervals, hypothesis testing, regression analysis, and ANOVA.

Prerequisite A grade of C or better in Math 154 or an equivalent class, 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. 


 

Student Outcomes:

  • Understand basic fundamental statistical theories and how these theories are applied to real world phenomena.
  • Understand the basics of probability theory and probability distributions that 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  (48.21% of 280 points ) 135 points

                        Weekly Quizzes (7 @ 5 points each)              35 points

Exam 1                                                            160 points

Exam 2                                                            160  points

Exam 3                                                            160  points

Projects (2 @ 50 points each)                        100 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 one week 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.  Late Homework that is turned in within one week of the due date will receive 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 3.5% 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 15. This project covers Chapters 1 – 4 & 8.  A list of specific requirements for the project will be handed out 3 weeks before the due date.

Project II is due Thursday, June 14.  This project covers Chapters 9 & 10.  A list of specific requirements will be handed out three weeks before the due date. 

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

 

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 13, 2007 is the last day for refunds.

Friday, April 27, 2007 is the last day to drop with no record.

Friday, June 1, 2007 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 3              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 5              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 10            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 12            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 17            4.3         Trees and Counting                                        3, 9, 12, 23, 29.
                        5.1          Random Variables and Distributions                           1, 6, 11.
                        Librarian visit.

April 19            Quiz 3     HW 3:  Sections 3.3, 3.4, 4.1, 4.2                                                                                       5.2        Binomial Probabilities  (May use Appendix 11-15)   3, 6, 13, 15.
                        6.1        The Normal Distribution                                  3, 7, 10, 15.

 

Date                            Lecture  Section  Topic                                                    Exercises

April 24            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 26           HW 4:  Sections 4.3, 5.1, 5.2,     EXAM 1    Chapters 1, 2, 3, 4, 5.1, 5.2

May 1              Return Exam 1,

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

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

May 10            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 15           Project 1 Due

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

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

May 17            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 22           EXAM 2         Chapters 6, 7, 8

                                                                                               

Date                            Section  Topic                                                                Exercises

May 24            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 29            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)                                        

May 31            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: Tests of Independence                  (All a-e)  1, 5, 7, 10   

Larry Green’s Applet       

June 5              11.2      Goodness of Fit                                            (All a-e)  1, 4, 7, 9, 12                            11.4     Comparing Variances                                     (All a-e)  3,  4, 9                          

June 7              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 12           EXAM 3                     Chapter 9, 10.1 – 10.3, 11.1, 11.2, 11.4

June 14            Project II Due,  HW 11:  Sections 11.4 – 11.6                                                                                 Return Midterm III, Review Final

Tuesday, June 19, 2007 Comprehensive Final Exam 6:00 – 7:50 PM