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 or MATH 141 with a C or higher, or entry code.

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 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

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