Statistics (MATH324)
Population and sample, central limit theorem, sampling distributions of mean and variance, estimation of parameters, properties of estimators, maximum likelihood estimator, point and interval estimation concerning mean, point and interval estimation concerning variance, hypothesis testing, type I and type II errors, power of test, curve fitting, linear regression, multiple linear regression, analysis of variance.
Related Programs
- Mathematics and Computer Science Undergraduate Program
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- Applied Mathematics & Computer Science Master's Program (with Thesis)
- Industrial Engineering Master's Program (with Thesis)
- Applied Mathematics and Computer Science Doctoral Program
- Industrial Engineering Doctoral Program
- Industrial Engineering - Mechanical Engineering Double Major Program
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- Mathematics and Computer Science - Statistics and Computer Science Double Major Program