Courses

  • Fall 2020

    All Terms Offered

    • Spring 2021

    Official Description

    Introduces fundamental statistical procedures used to analyze and interpret data. General principles of descriptive and inferential statistics, measures of central tendency and dispersion, probability, correlation and regression, and tests of hypotheses are covered. An emphasis is placed on biological, environmental, and agricultural sciences, but numerous examples from other areas are discussed. Course content enhances students' ability to critically assess statistical information encountered in professional and every day activities. Course Information: Credit is not given for both CPSC 241 and STAT 100 or ACE 261.

    TitleSectionCRNTypeHoursTimesDaysLocationInstructor
    This course if not available during the Fall 2020 semster
  • Spring 2021

    All Terms Offered

    • Spring 2021

    Official Description

    Introduces fundamental statistical procedures used to analyze and interpret data. General principles of descriptive and inferential statistics, measures of central tendency and dispersion, probability, correlation and regression, and tests of hypotheses are covered. An emphasis is placed on biological, environmental, and agricultural sciences, but numerous examples from other areas are discussed. Course content enhances students' ability to critically assess statistical information encountered in professional and every day activities. Course Information: Credit is not given for both CPSC 241 and STAT 100 or ACE 261.

    TitleSectionCRNTypeHoursTimesDaysLocationInstructor
    Intro to Applied StatisticsA31493ONL311:00 AM - 11:50 AM M W    Nicolas Federico Martin
    Intro to Applied StatisticsA31493ONL301:00 PM - 02:50 PM R    Nicolas Federico Martin
  • Summer 2021

    All Terms Offered

    • Spring 2021

    Official Description

    Introduces fundamental statistical procedures used to analyze and interpret data. General principles of descriptive and inferential statistics, measures of central tendency and dispersion, probability, correlation and regression, and tests of hypotheses are covered. An emphasis is placed on biological, environmental, and agricultural sciences, but numerous examples from other areas are discussed. Course content enhances students' ability to critically assess statistical information encountered in professional and every day activities. Course Information: Credit is not given for both CPSC 241 and STAT 100 or ACE 261.

    TitleSectionCRNTypeHoursTimesDaysLocationInstructor
    This course if not available during the Summer 2021 semster