Computer Science Department
College of Sciences & Mathematics

MAT122 Syllabus

  1. Course number and name

    MAT122 – Statistics II

  2. Credits and contact hours

    3 Credit Hours

  3. Instructor’s or course coordinator’s name

    Instructor: JoAnn H. Kump, Adjunct Professor of Mathematics

  4. Text book, title, author, and year

    Pearson

  5. Specific course information
    1. brief description of the content of the course (catalog description)

      Continuation of MAT 121. Inference about the means, standard deviations and proportions, goodness of fit, analysis of variance, regression analysis, correlation, and nonparametric tests.

    2. prerequisites or co-requisites

      Prerequisite: MAT 121.

    3. indicate whether a required, elective, or selected elective course in the program

      Selective elective course.

  6. Specific goals for the course
    1. specific outcomes of instruction Students will be able to
      • Students will be able to use SPSS proficiently.
      • Students will be able to choose the appropriate method of data analysis among those introduced.
      • Students will be able to write up a statistical analysis report, explaining what they did, why they did it, and their results.
    2. explicitly indicate which of the student outcomes listed in Criterion 3 or any other outcomes are addressed by the course.

      Course addresses Student Outcomes (a) and (o).

  7. Brief list of topics to be covered
    • Analysis of variance
    • Multiple regression
    • Categorical data and chi-square analysis
    • Nonparametrics
    • Statistical process control