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Sep 13, 2024
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ISE 5200 - Engineering Statistics
To prepare engineering and technology students to design statistically valid experiments and to analyze the results of those experiments to draw conclusions. Topics include functions of random variables, fundamentals of probability theory, sampling distributions, probability density function and cumulative distribution function, estimation theory, hypothesis testing, statistical prediction, ANOVA techniques, simple linear regression analysis, and computer software for basic statistical analysis.
Requisites:
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:
- Students will be able to identify discrete and continuous random variables and use descriptive statistics.
- Students will be able to calculate probabilities, conditional probabilities, permutations and combinations.
- Students will be able to conduct hypothesis tests and calculate confidence intervals on population parameters using point estimates from random samples (mean, variance, proportion).
- Students will be able to use Analysis of Variance (ANOVA) techniques to test for simple randomized one-factor experiments.
- Students will be able to perform simple linear regression and evaluate the strength and significance of the relationship between X and Y.
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