Statistics Minor Program Requirements

MAT 2021

Statistics I

This course prepares students for quantitative methods in their respective fields. Descriptive and inferential statistics, including estimation, hypothesis testing, linear regression and correlation are covered. Basic tools of descriptive statistics, discrete probability, binomial distribution, normal distribution, t-distribution, estimates and sample sizes, hypothesis testing, elementary correlation and regression, contingency tables are explored. Students utilize graphing calculators and spreadsheet software on a regular basis.

This course fulfills the Scientific and Mathematical Understanding Frame of Reference.

Prerequisite: Students must take a math assessment (ACCUPLACER) for placement purposes prior to registration or MAT 1010.

Every semester

MAT 2022

Statistics II

This course is a continuation of MAT 2021 and includes estimation, hypothesis testing, single linear regression, and one-way analysis of variance using calculators and statistical software. This course addresses in-depth such topics as the Central Limit Theorem, Chebyshev's theorem, covariance, multiple regression, ANOVA, nonparametric methods, and applications of probability distributions. It includes problems dealing with multiple linear regression, multi-way analysis of variance, nonparametric statistics, enumerative data, and computer applications. Students utilize graphing calculators and spreadsheet software on a regular basis.

This course fulfills the Scientific and Mathematical Understanding Frame of Reference.

Prerequisite: MAT 2021

Every semester

MAT 3250

Applied Statistics with SPSS

Methods of analyzing univariate and multivariate data using statistical packages including Minitab, SPSS, and SAS. Topics include descriptive statistics for univariate and bivariate data, basic properties of multivariate distributions, multivariate linear regression, principal component analysis for dimension reduction, factor analysis, canonical correlation analysis, discrimination and classification, and simple multiple series models.

This course fulfills the Scientific and Mathematical Understanding Frame of Reference.

Prerequisite: MAT 2022 or MAT 3230

Every Semester

MAT 1531

Calculus I

Topics include limits, differentiation, applications of derivatives, and an introduction to integration. This course may utilize graphing calculators on a regular basis.

This course fulfills the Scientific and Mathematical Understanding Frame of Reference.

Prerequisite: MAT 1320 or equivalent.

Every semester

BUS 4030

Marketing Research

An overview of the process of assembling information to make better marketing decisions. Topics include measurement principles, research designs, sampling techniques, data collection and analysis.

Prerequisite: BUS 2230, and either BUS 2550 or MAT 2021 and MAT 2022.

Fall

BUS 4110

Operations Management

Introduction to concepts and fundamental understanding of systems management. Study of specific problems; decision-making processes dealing with planning and control in manufacturing and service firms.

Prerequisite: BUS 2550 or MAT 2021 and MAT 2022

Fall

BUS 4130

Quantitative Business Decisions

Mathematical business decision-making techniques and methods of problem analysis of decision made under uncertainty. Individuals participating in the 4-Plus1 MBA program with Clarkson University must take this course.

Prerequisite: BUS 2550 or MAT 2021 and MAT 2022

Spring

CHE 2111

Organic Chemistry I

An introduction to the chemistry of organic compounds. Emphasis is on organic functional groups and their chemical properties, nomenclature and molecular structure. The laboratory introduces students to basic organic laboratory techniques of synthesis, purification and characterization. Lecture (3 hrs.) and lab (4 hrs). Students are strongly recommended to take Organic Problem Solving I (CHE 2113) together with this course.

Prerequisite: CHE 1042 or CHE 1052 with a grade of C or better.

Fee Lab fee $50.

Fall

CHE 2112

Organic Chemistry II

A continuation of CHE 2111. Continued study of organic functional groups and their chemical properties and molecular structures. Emphasis is on reaction mechanisms, aromaticity and spectroscopic methods od analysis of organic molecules. Students are strongly recommended to take Organic Problem Solving II ( CHE 2114 ) together with this course.

Lecture (3 hrs) and lab (4 hrs).

Prerequisite: CHE 2111

Fee Lab fee $50.

Spring

MAT 4010

Design of Experiments

Analysis of Variance techniques, basic experimental designs, complete and incomplete blocking, and factorial designs.

Prerequisite: MAT 2022 or MAT 3230. Marketing Majors should elect this course after BUS 4030.

Periodically

MAT 4020

Applied Linear Regression

Linear and multiple regression models. Least squares estimates, correlation, and prediction. Discriminate analysis, factor analysis, and cluster analysis.

Prerequisite: MAT 1531, MAT 3250.

Periodically

PED 4920

Senior Research Project

This course is designed to complete the research process started in PED 485 Senior Thesis. The student will take the previously developed proposal and bring it to its ultimate conclusion. Inherent in this process is the project’s acceptance by the Human Subjects Institutional Review Board, developing an informed consent, data collection, statistical analysis and writing the results, discussion and conclusion of the project. The student will present the project orally and publish the research in the class journal.

Prerequisite: PED 4910 or currently enrolled.

Periodically

PSY 3151

Psychological Research I

Introduction to the scientific method as applied to behavior. Emphasis is on the development of scientific attitudes as well as the development of the basic research skills of data collection, analysis and interpretation. This course fulfills the Gen Ed computing requirement for Psychology majors.

Prerequisite: PSY 1012.

Spring

PSY 3152

Psychological Research II

Fosters further development of scientific attitudes and research skills. Student research conducted in PSY 3151 is refined and prepared for publication. This course fulfills the Gen Ed computing requirement for Psychology majors.

Prerequisite: PSY 3151.

Fall

SOC 3910

Research Methods

• or other courses approved by the Mathematics Department

Introduction to the basic methods of sociological research design, data collection, the organization and analysis of data, and their interpretation through an actual research project. This course fulfills the Gen Ed computing requirement for Sociology majors.

Prerequisite: Junior majors in SOC, CRJ or acceptance in Social Work program, or consent of instructor.