BA 240 - Statistical Analysis
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(s): MATH 138 or MATH 141 with a C or better, or entry code.
- Present, calculate and interpret:
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
- 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
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