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QMTH 205 - Applied Statistics I (3).
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

Comp Sci and Quant Methods Department

Course Attributes:
Logic Language and Semiotics

QMTH 206 - Applied Statistics II (3).
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

Comp Sci and Quant Methods Department

Course Attributes:
Logic Language and Semiotics

QMTH 206H - Applied Statistics II

3.000 Credit hours
3.000 Lecture hours
0.000 Lab hours
0.000 Other hours

Levels: Undergraduate
Schedule Types: Lecture

Comp Sci and Quant Methods Department

QMTH 651 - Statistical Methods for Decision-Making (3).
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

Comp Sci and Quant Methods Department


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