Academic Calendar 2021-22 
    
    Apr 29, 2024  
Academic Calendar 2021-22 [ARCHIVED CATALOG]

Courses


 

Statistics

  
  • STAT 116 - Elementary Statistics


    Credits: 4 Total Hours: 67.5
    This course is mainly for students in Criminal Justice, Dental Hygiene, Social Sciences and general arts. Topics include descriptive statistics, probability and probability models, one-and two-sample inferences for population means and proportions, simple linear correlation and regression, categorical data analyses.

    Prerequisites
    One of:


    Equivalencies
    • MATH 116




  
  • STAT 216 - Applied Statistics


    Credits: 4 Total Hours: 67.5
    Students in first or second-year Biology, Business, Chemistry, Applied Chemistry and Biotechnology, Computer Science, and Environmental Technology will be prepared to conduct basic statistical analyses. Students will study descriptive statistics, probability, Bionomial, Poisson and Normal distributions, hypothesis testing, confidence intervals, analysis of variance, correlation and linear regression, categorical data analysis. Students will also learn to use statistical software to perform statistical data analyses.

    Prerequisites
    One of:


    Equivalencies
    • MATH 216




  
  • STAT 218 - Intro to Probability and Statistics 1


    Credits: 4 Total Hours: 67.5
    Examples from a variety of disciplines will be used to introduce the mathematical foundations of statistical inference. Topics: descriptive statistics; elementary probability theory, random variables, discrete and continuous probablility distributions, expectations, joint, marginal and conditional distributions; linear functions of random variables; sampling distribution; point and interval estimation; significance testing.

    Prerequisites
    One of:


    Equivalencies
    • MATH 218




  
  • STAT 219 - Probability and Statistics 2


    Credits: 4 Total Hours: 67.5
    Examples from a variety of disciplines will be used to demonstrate an introduction to the mathematical foundations of statistical inference. Topics: estimation and testing of hypotheses; normal sampling distribution theory; analysis of variance and the design of experiments; simple linear regression and correlation; analysis of categorical data; distribution-free procedures.

    Prerequisites
    One of:


    Equivalencies
    • MATH 219




  
  • STAT 254 - Probability and Statistics for Engineers


    Credits: 3 Total Hours: 60
    Restricted to students in Engineering Bridge
    This calculus-based introductory statistics course includes counting techniques, introductory probability, Bayes’ theorem, measures of central tendency and variation, expected value, discrete and continuous distributions, point and interval estimation, hypothesis testing, correlation and linear regression. Applications to engineering are included throughout the course. Only open to Engineering Bridge students

    Equivalencies
    • MATH 254