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Math 150


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Math 150
 Dr. Jose M Villalobos, Ph.D.

Elementary Statistics - Hybrid

Course Information:

Professor:  Dr Jose M Villalobos, Ph.D.

Class: Math 150                                              Credit Hours: 4

Section: 9972

Course Dates:  August 29, 2009  -  December 18, 2009

Date/Time:      Saturday          9:30a.m – 11:20a.m

Location:         MS 210

Office:  MS 115          

Phone:  (310) 900-1600x2424                       

Email: ,


Office Hours:  Monday/Wednesday  5:30pm – 7:00pm, 

                    Tuesday/Thursday  3:00 pm -  4:00pm   and  6:30pm – 7:00pm      

                     Saturday 11:30am  - 12:30pm  or by appointment.

Course Materials

Textbook:  Elementary Statistics, 11th edition by M.Triola.

Calculator: A scientific calculator is required. A graphing calculator is recommended.


To access the online portion of our class you will need a student access code, which comes  with the purchase of your textbook from the Bookstore. Open your MyMathLab Student Access Kit and follow the directions. Use the Course ID villalobos66814. If you got your book somewhere else an access code can be purchased separately online for about $50. Either way, go to and click on Students > Register.

Prerequisite:  Mathematics 70 or Mathematics 73 with a minimum grade of C or qualification by testing (El Camino College Mathematics Placement Test) and assessment.

This course will cover chapters 1 – 12 (see schedule at the end of the syllabus for detail information).

Course Description

The focus of this course is the basic practice of statistics, including descriptive statistics, inferential statistics, and the role probability plays in statistical analysis. Students calculate and interpret statistical parameters using graphing calculators with statistical testing capabilities and statistical software, as well as by hand. Major topics include methods of data collection and simulation; measures of central tendency, variability, and relative position; graphical summaries of data; linear regression and correlation; distributions, including normal and binomial distributions; probability theory ;and inferential statistical methods. Students choose, justify, use, and interpret the results of inferential techniques, such as confidence intervals, hypothesis tests, goodness of fit, analysis of variance, and nonparametric tests.

(CAN STAT 2);UC/IND/CSU area B4; IGETC area 2.

Course Policies:

                        Attendance and Class-work                                  50

Exams (3):                                                          300

                        Quizzes            (10)                                            100

                        Homework                                                           80

                        Projects                                                               40               

Final Exam:                                                        200

Grading Scale:  A:  90 - 100%    C:  70 – 79%     F: under  60%

                          B: 80 - 89%      D:  60 – 69%