Madera Community College Center - pg 3

Madera Community College Center - pg 3

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Instructor Contact Information

  • Instructor Name: Dr. Jim Chin

  • Office Room: AV1 101B Instructional Administration Building

  • Web Site: www.jcstat7.freeservers.com
  • Phone Number and Email Address

  • Madera Center: (559) 675-4800
  • Office Number: (559) 675-4813
  • Email Address: jim.chin@scccd.edu
  • Class Day / Time / Room and Office Day / Hour / Room

  • Class Day: Monday
  • Time: 5:30 PM to 9:20 PM
  • Room: AM 120
  • Office Hour Day: Monday's
  • Time: 4:30 PM to 5:30 PM
  • Room: AV1 101B

  • Appointments: Call to make arrangements
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  • Please note:  "If you have a verified need for an academic accommodation or materials in alternate media (ie: Braille, large print, electronic text, etc.) per the American With Disabilities Act or Section 504 of the Rehabilitation act please contact your instructor as soon as possible."
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    State Center Community College Web Site

    Visit www.scccd.com or North Center's site www.northcenters.com .

     

    COURSE OUTCOMES: (Specify the learning skills the student demonstrates through completing the course and link critical thinking skills to specific course content and objectives.) At the completion of this course, the student will be able to:

    A.  organize, summarize, and graph data sets.

    B.  apply measures of central tendency (Mean, Median, and Mode) and variability (Standard Deviation, Quartile Deviation, and Range) in a variety of problems.

    C.   apply basic rules of probabilities and calculate probabilities in a variety of binomial, Poisson and hypergeometric problems.

    D.  use random sampling techniques to collect a representative sample from a population.

    E.  construct and use confidence intervals to estimate parameters of a population.  Determine sample sizes within a defined margin of error.

    F.  apply  Z, t, and Chi-Square tests of significance.

    G.  apply correlation and regression analysis.

    H.  construct indexes and use time series to analyze stock data sets.

     

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