MATH 110 - Introduction to Statistics

Institution:
Trinity Washington University
Subject:
Description:
Presents the basic principles of statistics with applications to the social sciences. Topics include descriptive statistics, probability theory, normal and binomial distributions, and central limit theorem, with an introduction to the use of statistical software. Formerly MAT 110 Introduction to Statistics. 3 credits General Education: Knowledge and Inquiry Area Prerequisites: MATH 108, MATH 109 or higher level mathematics course MATH 125 Calculus and Analytic Geometry I Examines the following topics: functions, limits, continuity, differentiation and applications, and basic integration. Formerly MAT 125 Calculus and Analytic Geometry I. 4 credits Prerequisites: MATH 123 or placement test proficiency General Education: Knowledge and Inquiry Area FLC Area IV: Exploration Cluster ECON 371 Econometrics Develops the tools necessary for applied economic research. After a review of statistical inference, regression analysis is undertaken. Econometric techniques are used to estimate, test, and deal with various problems of single-equation and multiple-equation economic models. Formerly ECO 367 Econometrics. 3 credits Prerequisites: ECON 101, 102, andMATH 110 MATH 210 Statistical Inference Applies the principles of inference to the social sciences. Topics include confidence intervals, inference for distributions, one and two-sample t-test, z-test, F-test, chi-square test, linear regression analysis and comparing two proportions. Use of statistical software is an integral part of the course. Formerly MAT 210 Statistical Inference. 3 credits Prerequisites: MATH 110 with a grade of ""C"" or better FLC Area IV: Exploration Cluster
Credits:
3.00
Credit Hours:
Prerequisites:
Corequisites:
Exclusions:
Level:
Instructional Type:
Lecture
Notes:
Additional Information:
Historical Version(s):
Institution Website:
Phone Number:
(202) 884-9050
Regional Accreditation:
Middle States Association of Colleges and Schools
Calendar System:
Semester

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