BA 240 Statistical Analysis • 5 Cr.


Surveys techniques used in decision-making and research. Topics include descriptive and inferential statistics, probability, central tendency, variability, normal and t-distributions, hypothesis testing, and regression. Material has applications in business, health care, etc. Prerequisite: MATH 138 or MATH& 141 with a C or better, or entry code.


After completing this class, students should be able to:

  • Present, calculate and interpret:
    • mean, median and mode
    • standard deviation, standard error, variance
    • applications of probability, normal and t-distributions, bell curve analysis
    • confidence intervals and sampling error
    • hypothesis testing
    • z-scores, t-tests, p-values
    • correlation, simple linear regression, time series analysis
    • chi-square
  • Analysis of variance
  • Multiple regression
  • Analyze and evaluate research methodology e.g. gathering of information, sampling, inaccuracies, presentation of information and bias, misleading pitfalls
  • Research, locate and evaluate of various data sources via internet, secondary, tertiary resources, original research publications
  • Define and classify variable types, discrete variable formats, binomials
  • Analyze and appropriately apply statistical procedures to data and types of variables
  • Estimate population parameters with confidence intervals
  • Identify hypothesis setups, appropriate comparisons, type I and II errors
  • Describe and apply the roles of statistics as descriptors versus inferences, prediction
  • Illustrate applied examples and procedures in different fields e.g. bio-med, business, economics, engineering, health professions, nursing, psychology, sociology, social work, others
  • Synthesize procedures, concepts, applications
  • Interpret and apply meaningfulness of statistics in research studies
  • Demonstrate use of a statistical package e.g. Excel, SPSS, SAS, Minitab or other
  • Self assess writing for evidence sequence, focus, organization, style and mechanics
  • Work effectively in teams