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Sep 13, 2024
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EMGT 6100 - Statistics for Engineering Management
Estimation theory, hypothesis testing, and statistical prediction, simple linear regression, multiple regression, transformations, analysis of variance, and simple experimental design.
Requisites:
Credit Hours: 4
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 4.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:
- Students will be able to calculate and interpret hypothesis tests and confidence intervals for single samples.
- Students will be able to calculate and interpret hypothesis tests and confidence intervals for two samples.
- Students will be able to calculate probabilities of events in sample spaces, conditional probabilities, permutations and combinations.
- Students will be able to calculate the mean and variance for discrete and continuous random variables.
- Students will be able to create and interpret descriptive statistics through graphical techniques.
- Students will be able to identify appropriate point estimators for common sampling distributions: Standard normal, t distribution, F distribution, and chi-square distribution.
- Students will be able to calculate simple and multiple linear regression and interpret results.
- Students will be able to utilize Analysis of Variance to test multiple means and evaluate regression models.
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