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Dec 21, 2024
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Website Catalog (In Development)
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MAT 260 - Applied Probability and Statistics
Descriptive statistics, probability and random variables, discrete and continuous probability distributions, joint distributions, sampling distributions, confidence interval estimates, hypothesis tests on means, categorical populations, and the form of distributions, linear regression analysis on bivariate and multivariate data, single factor ANOVA, randomized block experiments, all with a strong emphasis on engineering applications and the use of statistical software to simulate, model, and analyze data.
Prerequisite- Corequisite
Prerequisite: MAT 181 Calculus I
Credits: 4
Hours
4 Class Hours
Course Profile
Learning Outcomes of the Course:
Upon successful completion of this course the student will be able to:
- Perform appropriate hypothesis tests and interpret the results.
- Use density functions and probability distributions to analyze and describe random variables and distributions.
- Use statistical software and/or simulations to organize, describe, and analyze distributions and data sets.
- Construct and interpret appropriate confidence intervals.
- Locate information effectively using tools appropriate to mathematics.
- Evaluate information with an awareness of authority, validity, and bias.
- Demonstrate an understanding of the ethical dimensions of information use, creation, and dissemination.
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