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(s): Completion of MATH 138 with a C or better, or placement into MATH 142 or MATH 148 or higher, or permission of the program.

Course Outcomes

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 various data sources via the 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, and applications
Interpret and apply meaningfulness of statistics in research studies
Demonstrate the 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

GenEd Outcomes: Creative and Critical Thinking

Quantitative/Symbolic Reasoning

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