Basic ideas of point and interval estimation and hypothesis testing; one and two sample problems, simple linear regression, topics from among one-way analysis of variance, discrete data analysis and nonparametric methods. Prerequisite: Statistc 515 or equivalent. (Gen. Ed. R2) [Note: Because this course presupposes knowledge of basic math skills, it will satisfy the R1 requirement upon successful completion.]

Basic ideas of point and interval estimation and hypothesis testing; one and two sample problems, simple linear regression, topics from among one-way analysis of variance, discrete data analysis and nonparametric methods. Prerequisite: Statistc 515 or equivalent. (Gen. Ed. R2) [Note: Because this course presupposes knowledge of basic math skills, it will satisfy the R1 requirement upon successful completion.]

For graduate and upper-level undergraduate students, with focus on practical aspects of statistical methods.Topics include: data description and display, probability, random variables, random sampling, estimation and hypothesis testing, one and two sample problems, analysis of variance, simple and multiple linear regression, contingency tables. Includes data analysis using a computer package. Prerequisites: high school algebra; junior standing or higher. [Note: Because this course presupposes knowledge of basic math skills, it will satisfy the R1 requirement upon successful completion.]

The Commonwealth Honors College thesis or project is intended to provide students with the opportunity to work closely with faculty members to define and carry out in-depth research or creative endeavors. It provides excellent preparation for students who intend to continue their education through graduate study or begin their professional careers. The student works closely with their 499Y Honors Research sponsor to pursue research on a topic or question of special interest to them in preparation for writing a 499T Honors Thesis or completing a 499P Honors Project.

Honors Thesis expectations are high. The intended end-product is a traditional research manuscript with accompanying artifact(s), all theses: - are 6 credits or more of sustained research on a single topic, typically conducted over two semesters. - begin with creative inquiry and systematic research. - include documentation of substantive scholarly endeavor. - culminate in an oral defense or other form of public presentation.

Honors Project expectations are high. The intended end-product is a traditional project manuscript with accompanying artifact(s), all projects: - are 6 credits or more of sustained research on a single topic, typically conducted over two semesters. - begin with creative inquiry and systematic research. - include documentation of substantive scholarly endeavor. - culminate in an oral defense or other form of public presentation.

This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study.

Not available at this time

In this course, we see how probability theory is used in statistics to formalize and facilitate the process of learning from data, which is called statistical inference. The three main aspects of statistical inference we will cover are point estimation, confidence intervals, and hypothesis tests. For each of these topics, we will provide the goals and motivation, basic definitions, general methodology, and commonly used tools, including inference for means, differences in means, proportions, and differences in proportions. The course is structured in five basic sections.

In this course, we see how probability theory is used in statistics to formalize and facilitate the process of learning from data, which is called statistical inference. The three main aspects of statistical inference we will cover are point estimation, confidence intervals, and hypothesis tests. For each of these topics, we will provide the goals and motivation, basic definitions, general methodology, and commonly used tools, including inference for means, differences in means, proportions, and differences in proportions. The course is structured in five basic sections.