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Descriptive statistics, frequency distributions, probability, binomial and normal distributions, statistical inference, linear regression, and correlation.
Statistical analysis, sampling, and experimentation in the agricultural sciences; data collection, descriptive statistics, statistical inference, regression, one fac more...
Statistical analysis and interpretation of data in the biological sciences; probability; distributions; statistical inference for one- and two-sample problems.
Probability concepts; nature of statistical methods; elementary distribution and sampling theory; fundamental ideas relative to estimation and testing hypotheses.
Combinatorial analysis, axioms of probability, conditional probability and independence, discrete and continuous random variables, expectation, limit theorems, additiona more...
Statistical inference: principles and methods, estimation and testing hypotheses, regression and correlation analysis, analysis of variance, computer analysis. more...
01/11/2010-04/30/2010 Credits:
3.0
Prerequisite: STAT 318 or knowledge of basic probability
Random variables; probability density functions; estimation; statistical tests, t-tests; correlation; simple linear regression; one-way analysis of variance; randomize more...
Probability spaces, discrete and continuous random variables, transformations,expectations, generating functions, conditional distributions, law of large numbers, central li more...
Review of distribution models, probability generating functions, transforms, convolutions, Markov chains, equilibrium distributions, Poisson process, birth and death pro more...
Fundamentals and axioms, combinatorial probability, conditional probability and independence, probability laws, random variables, expectation; Chebyshev's inequal more...
Analysis of research data through simple and multiple regression and correlation; polynomial models; indicator variables; step-wise, piece-wise, and logistic regres more...
01/11/2010-04/30/2010 Credits:
3.0
Prerequisite: STAT 500 or equivalent; matrix algebra
Analysis of variance and design concepts; factorial, nested, and unbalanced data; ANCOVA; blocked, Latin square, split-plot, repeated measures designs.
Research and quantitative methods for analysis of epidemiologic observational studies. Non-randomized, intervention studies for human health, and disease more...
Measure theoretic foundation of probability, distribution functions and laws, types of convergence, central limit problem, conditional probability, special topics.
Theoretical treatment of methods for analyzing multivariate data, including Hotelling's T2, MANOVA, discrimination, principal components, and canonical analysis.
General principles of statistical consulting and statistical consulting experience. Preparation of reports, presentations, and communication aspects of consulting are d more...
Formal courses given on a topical or special interest subject which may be offered infrequently; several different topics may be taught in one year or term.
Formal courses given on a topical or special interest subject which may be offered infrequently; several different topics may be taught in one year or term.