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.

Not available at this time

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.

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.

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.