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Course Criteria
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3.00 Credits
I, II; 1-3 cr (A). P: Sr st and cons inst.
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3.00 Credits
I, II; 3 cr (r-E). Need for scientific methods in collecting, reporting, and interpreting information; inferences and decisions in the presence of uncertainty and statistical variation; elements of probability; random variables; Binomial and Normal probability distributions; point and interval estimation of means and proportions; tests of statistical hypotheses; estimation of variances. P: Open to Fr. Stdts may receive degree cr for no more than one of the following crses: Stat 201, 224, and 301.
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3.00 Credits
I, II; 3 cr (r-N-I). P: Math 221. 2nd Sem Fr St. Stdts may receive degree cr for no more than one of the following: Stat 201, 224, and 301.
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3.00 Credits
I, II, SS; 3 cr (r-N-I). Distributions, measures of central tendency, dispersion and shape, the normal distribution; experiments to compare means, standard errors, confidence intervals; effects of departure from assumption; method of least squares, regression, correlation, assumptions and limitations; basic ideas of experimental design. P: Open to Fr. Stdts may receive degree cr for no more than one of the following: Stat 201, 224, 301, 324, and 371.
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3.00 Credits
Irr.; 3 cr (N-I). Review of basic principles of statistical inference. Correlation and regression techniques for studying relationship among variables; design and analysis of experiments; treatment of enumerative data; non-parametric statistics; examples of applications in a variety of subjects. P: A statistics course.
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3.00 Credits
I; 4 cr (N-A). Probability and combinatorial methods, discrete and continuous, univariate and multivariate distributions, expected values, moments, normal distribution and derived distributions, estimation. P: For majors in math and stats, Math 223 or 234.
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3.00 Credits
II; 4 cr (N-A). Unbiased estimation, maximum likelihood estimation, confidence intervals, tests of hypotheses, Neyman-Pearson fundamental lemma, likelihood ratio test, applications to general linear model and analysis of variance, categorical data analysis, nonparametric methods. P: For majors in Math and Stat, Math 309 or Stat 309.
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3.00 Credits
I, II; 4 cr (N-A). Elements of probability, important discrete distributions, acceptance sampling by attributes, sample characteristics, probability distributions and population characteristics, the normal distribution, acceptance sampling plans based on sample means and variances, sampling from the normal, the central limit theorem, point and interval estimation. P: Math 223 or con reg.
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3.00 Credits
I, II; 4 cr (N-A). Tests of hypotheses, control charts, goodness of fit tests; order statistics and nonparametric tests; regression theory, analysis of variance. P: For majors in Engineering or Nat Sci, Stat 311.
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3.00 Credits
I or II; 3 cr (I). Descriptive statistics, probability concepts and distributions, random variables. Hypothesis tests and confidence intervals for one- and two-sample problems. Linear regression, model checking, and inference. Analysis of variance and basic ideas in experimental design. Math 222. Stdts may receive degree cr for no more that one of the following: Stat 201, 224, 301 and 324. Open to Fr.
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