# BA 240Statistical Analysis• 5 Cr.

## Division

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& 142 with a C or better, or entry code.

### New description starting Summer 2013

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.

## Outcomes:

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

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