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Course Criteria
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0.00 Credits
0.000 TO 300.000 Credit Hours 0.000 TO 300.000 Lecture hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture Transfer Credit College General Transfer Department
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4.00 Credits
Summarizing data, including distributions, change and growth, relationships. Basics of survey design and experimental design. Inferential statistics, including confidence intervals and hypothesis testing. Credit may not be granted for both 107 and 244. ?IAI course no. M1 902? 4.000 Credit Hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture College of Arts and Sciences College Mathematics & Statistics Department Course Attributes: Skills/Statistics
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0.00 Credits
0.000 TO 300.000 Credit Hours 0.000 TO 300.000 Lecture hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture Transfer Credit College General Transfer Department
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3.00 Credits
Descriptive statistics, basic probability rules and distributions, inferences for means, variances and proportions, design and analysis of experiments, regression analysis. 3.000 Credit Hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture College of Arts and Sciences College Mathematics & Statistics Department Course Attributes: Skills/Statistics
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0.00 Credits
0.000 TO 300.000 Credit Hours 0.000 TO 300.000 Lecture hours Levels: Graduate, Professional, Undergraduate Schedule Types: Lecture Transfer Credit College General Transfer Department
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3.00 Credits
Design of surveys and experiments. Inferential statistics, including confidence intervals and hypothesis testing. Simple and multiple regression. May not be used to satisfy requirements of a mathematics or statistics concentration or minor. 3.000 Credit Hours 3.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture College of Arts and Sciences College Mathematics & Statistics Department
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3.00 Credits
Statistical analysis of time series. Regression and exponential smoothing. Box-jenkins methodology. 3.000 Credit Hours 3.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture College of Arts and Sciences College Mathematics & Statistics Department
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3.00 Credits
Mathematical statistical theory. Probability models, distributions of random variables, sampling distributions, generating functions, central limit theorem, limiting distributions, parameter estimation, statistical hypotheses, linear models. Must be taken in sequence. 3.000 Credit Hours 3.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture College of Arts and Sciences College Mathematics & Statistics Department
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3.00 Credits
Parameter estimation, statistical hypotheses, linear models. 3.000 Credit Hours 3.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture College of Arts and Sciences College Mathematics & Statistics Department
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3.00 Credits
Designs for experimentation and their statistical inference. One-way, two-way classifications, complete and incomplete block designs. Factorial and fractional factorial designs. Response surface designs. 3.000 Credit Hours 3.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Lecture College of Arts and Sciences College Mathematics & Statistics Department
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