 | Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course. |
| QMTH 205 - Applied Statistics I (3). |
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Description: Concepts of probability theory, sampling, descriptive statistics, and statistical estimation.
Notes: Offered fall, spring and summer.
Prerequisites: MATH 101, 105, 150 or 151; CSCI 101; CSCI 101B; and two of CSCI 101A, C or P.
3.000 Credit hours 3.000 Lecture hours 0.000 Lab hours 0.000 Other hours Levels: Undergraduate Schedule Types: Independent Study/Research, Lecture Computing and Info Sciences Department Course Attributes: Logic Language and Semiotics |
| QMTH 206 - Applied Statistics II (3). |
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Description: Concepts of hypothesis testing, regression and correlation analysis, Chi-Square analysis, quality control, and decision theory.
Prerequisites: QMTH 205.
3.000 Credit hours 3.000 Lecture hours 0.000 Lab hours 0.000 Other hours Levels: Undergraduate Schedule Types: Lecture Computing and Info Sciences Department Course Attributes: Logic Language and Semiotics |
| QMTH 206H - Applied Statistics II |
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3.000 Credit hours 3.000 Lecture hours 0.000 Lab hours 0.000 Other hours Levels: Undergraduate Schedule Types: Lecture Computing and Info Sciences Department |
| QMTH 651 - Statistical Methods for Decision-Making (3). |
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Description: Statistical methods, regression and time series analysis in the decision-making process.
Prerequisites: CSCI 101 and ECON 205.
3.000 Credit hours 3.000 Lecture hours 0.000 Lab hours 0.000 Other hours Levels: Graduate Schedule Types: Lecture Computing and Info Sciences Department |
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