MATH 3450 - Statistical Inference

Institution:

Utah Tech University

Subject:

Mathematics

Description:

Topics include: point estimation, maximum likelihood estimators and their distributions, sufficient statistics, and Bayesian estimation, confidence intervals for means and proportions, distribution-free confidence intervals for percentiles, confidence intervals for regression coefficients, and re-sampling methods, test hypothesis for means and proportions, The Wilcoxon tests, the power of a test, best critical regions and likelihood ratio tests,, standard chi-square tests, analysis of variance including general factorial designs, and some procedures associated with regression, correlation and statistical quality control. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Explain the concepts of point estimations, order statistics, maximum likelihood estimation, regression, sufficient statistics, and Bayesian Estimation. 2. Construct and interpret confidence intervals for means, differences of two means, proportions, and Percentiles. 3. Explain the concepts of statistical hypotheses, power of statistical test and best critical regions. 4. Perform and interpret hypothesis test for means, proportions. 5. Perform and interpret Chi-square Goodness-of-Fit tests, Test for homogeneity, Test for independence of attributes of classification, One-Factor Analysis of Variance and Two-Way Analysis of Variance. Prerequisites: MATH 3400 (Grade C or higher). SP

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.utahtech.edu/

Phone Number:

(435) 652-7500

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

General Education

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