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STAT 306: INTRODUCTORY STATISTICS
3.00 Credits
Old Dominion University
Lecture 3 hours; 3 credits. Prerequisite: A grade of C or better in MATH 102M or 162M. A general probability and statistics course designed specifically to accommodate the needs of school teachers and health professionals. Topics include: descriptive statistics, basic probability, discrete random variables, continuous random variables, interval estimation, regression and correlation, hypothesis testing, and applications. (May not be used to satisfy the upper-division elective requirement of the math major program.)
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STAT 306 - INTRODUCTORY STATISTICS
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STAT 310: INTRODUCTORY DATA ANALYSIS
3.00 Credits
Old Dominion University
Lecture 3 hours; 3 credits. Prerequisite: A grade of C or better in STAT 130M or MATH 211. Topics include measures of location, dispersion, and strength of relationship; parametric and nonparametric tests of location; one-way analysis of variance; complete block designs; simple and multiple regression; correlation; measures of association for categorical data. Microsoft EXCEL will be used extensively as an aid in data analysis. Written interpretation of results will be a routine component of daily assignments.
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STAT 310 - INTRODUCTORY DATA ANALYSIS
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STAT 329: IIS
0.00 - 6.00 Credits
Old Dominion University
No course description available.
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STAT 329 - IIS
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STAT 330: INTRO-PROBABILITY & STATISTICS
3.00 Credits
Old Dominion University
Lecture 3 hours; 3 credits. Prerequisite: A grade of C or better in MATH 211. Not open to students with credit in STAT 331. Descriptive statistics, probability theory and probability distributions, mathematical expectation and its role in decision making, hypothesis testing, point and interval estimation, numerous applications.
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STAT 330 - INTRO-PROBABILITY & STATISTICS
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STAT 331: THEORY OF PROBABILITY
3.00 Credits
Old Dominion University
Lecture 3 hours; 3 credits. Prerequisite: A grade of C or better in MATH 211. An introduction to probability theory including probability functions, continuous and discrete random variables, combinatorics, special probability distributions, moment generating functions, and limit laws.
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STAT 331 - THEORY OF PROBABILITY
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STAT 3ELE: ELECTIVE
0.00 - 12.00 Credits
Old Dominion University
No course description available.
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STAT 3ELE - ELECTIVE
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STAT 405: INTRODUCTION TO DATA HANDLING
1.00 Credits
Old Dominion University
Lecture 1 hour; laboratory .50 hour; 1 credit. Prerequisite: A grade of C or better in STAT 130M or equivalent, or permission of the instructor. Laboratory work required. Use of SAS or R to bring data sets to a form suitable for statistical analysis. Focus is on the data step and related utilities, including data input, merging of data sets, creating new variables, sorting, printing, charting and formatting. Includes a brief overview of some statistical procedures.
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STAT 405 - INTRODUCTION TO DATA HANDLING
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STAT 431: THEORY OF STATISTICS
3.00 Credits
Old Dominion University
Lecture 3 hours; 3 credits. Prerequisite: STAT 331 or departmental permission. Topics include point and interval estimation, tests of hypotheses, introduction to linear models, likelihood techniques, and regression and correlation analysis.
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STAT 431 - THEORY OF STATISTICS
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STAT 432: SAMPLING THEORY
3.00 Credits
Old Dominion University
Lecture 3 hours; 3 credits. Prerequisite: STAT 431/531. Sampling from finite populations is discussed. Topics such as simple random sampling, stratified random sampling and ratio and regression estimation are included. Also discussed are aspects of systematic sampling, cluster sampling, and multi-stage sampling.
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STAT 432 - SAMPLING THEORY
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STAT 435: DESIGN/ANALYSIS OF EXPERIMENTS
3.00 Credits
Old Dominion University
Lecture 3 hours; 3 credits. Prerequisite: A grade of C or better in STAT 330 or 310W-331 or 431/531. Suggested corequisite: STAT 405/505. Topics include experiments with a single factor, multiple comparisons, randomized blocks, Latin squares, incomplete block designs, multifactor factorial experiments, fractional replications, nested designs, experiments to study variance: random and mixed effects, and split plot designs.
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STAT 435 - DESIGN/ANALYSIS OF EXPERIMENTS
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