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MATH 2103 - BUSINESS STATISTICS
Prerequisite: MATH 2106 - Finite Mathematics with a "C" or better
The course is designed to provide the student with the statistical tools necessary to determine appropriate mathematical techniques and statistical tests required to evaluate data in order to answer questions related to business situations. Students will be able to identify and use statistical tools and quantitative reason to extract information from data, interpret the findings, demonstrate the ability to make and communicate informed business decisions, and determine and execute appropriate statistical tests using historical business data to evaluate current climate and infer population parameters. Statistical tools studies should include, but are not limited to: descriptive measures of populations and samples, central tendency and variability, probability theory, interval estimation, hypothesis tests of means and proporitions, simple linear regression, chi square tests, and one-way analysis of variance. Areas of study include organizing and summarizing statistical data, probability, sampling, parametric and nonparametric tests of hypotheses, analysis of variance, regression and correlation analysis, and time series. Traditional and online formats.
IAI ~ M1 902 / BUS 901


Lecture
Description Prerequisite: MATH 2106 - Finite Mathematics with a "C" or better
The course is designed to provide the student with the statistical tools necessary to determine appropriate mathematical techniques and statistical tests required to evaluate data in order to answer questions related to business situations. Students will be able to identy and use statistical tools and quantitative reasoning to extract information from data, interpret the findings, demonstrate the ability to make and communicate informed business decisions, and determine and execute appropriate statistical tests using historical business data to evaluate current climate and infer population parameters. Statistical tools studies should include, but are not limited to: descriptive measures of populations and samples, central tendency and variability, probability theory, interval estimation, hypothesis tests of means and proportions, simple linear regression, chi square tests, and one-way analysis of variance. Areas of study include organizing and summarizing statistical data, probability, sampling, parametric and nonparametric tests of hypotheses, analysis of variance, regression and correlation analysis, and time series. Traditional and online formats.
IAI ~ M1 902 / BUS 901
Prerequisites MATH 2106 / Lecture <min grade = C, min credit = 3.00>
Corequisites N/A
Fees N/A
Credits 3.00
Credit Types Standard

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