This course satisfies the Junior Year Writing requirement for students in RES-ECON. The emphasis is on developing students' skills in critical thinking, writing, and effective communication.

This course satisfies the Junior Year Writing requirement for students in RES-ECON. The emphasis is on developing students' skills in critical thinking, writing, and effective communication.

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.

Economic analysis of natural resource use and conservation. Includes analyses of the use of fuel, forest, marine and biodiversity resources. Focuses on evaluating natural resource use in terms of efficiency and sustainability, and designing regulations for correcting inefficient and unsustainable resource markets. (Gen.Ed. SB)

This course covers methods of sample-based estimation and inference. Topics include hypothesis testing for two populations, analysis of variance for comparing three or more populations, simple linear regression, topics in multiple regression, and univariate time-series techniques (if time permits) such as moving averages and exponential smoothing. Statistical software is used for advanced computations. Basic algebra required.

This course covers methods of sample-based estimation and inference. Topics include hypothesis testing for two populations, analysis of variance for comparing three or more populations, simple linear regression, topics in multiple regression, and univariate time-series techniques (if time permits) such as moving averages and exponential smoothing. Statistical software is used for advanced computations. Basic algebra required.

This course covers methods of sample-based estimation and inference. Topics include hypothesis testing for two populations, analysis of variance for comparing three or more populations, simple linear regression, topics in multiple regression, and univariate time-series techniques (if time permits) such as moving averages and exponential smoothing. Statistical software is used for advanced computations. Basic algebra required.

This course covers methods of sample-based estimation and inference. Topics include hypothesis testing for two populations, analysis of variance for comparing three or more populations, simple linear regression, topics in multiple regression, and univariate time-series techniques (if time permits) such as moving averages and exponential smoothing. Statistical software is used for advanced computations. Basic algebra required.

Designed for students in the social science and business related fields of study. Introduction to basic statistical methods used to collect, summarize, and analyze numerical data. Emphasis on application to decision making; examples from the social sciences and business. Topics include: common statistical notation, elementary probability theory, sampling, descriptive statistics, statistical estimation and hypothesis testing. Basic algebra and familiarity with computer and internet necessary. (Gen.Ed.