Contemporary economic problems as they affect individuals and families in their financial planning, spending for consumer goods and services, saving, and investing. Family and individual issues such as taxes, insurance, retirement, and estate planning are examined.

Introduction to contemporary quantitative methods as applied to production, marketing and resource management problems in both a private and public setting. Linear programming and decision making under uncertainty. Prerequisite: RES-ECON 211 or equivalent.

Not available at this time

Not available at this time

Economic analysis of natural resource use and conservation, including minerals, forests, fisheries, wildlife, land, and outdoor recreation economics. Focuses on resource use patterns that are socially efficient and sustainable, and institutional arrangements for bringing these about. (Gen.Ed. SB)

Emphasis on understanding and interpreting statistical information, and using it to form sound judgments in business situations. Includes brief review of sampling, sampling distributions, and basic inference for one-sample situations; comparison of two populations, chi-square tests for contingency tables, analysis of variance, simple linear regression, and topics in multiple regression and time series. Statistical software used for computations. A project using regression methods required.

Emphasis on understanding and interpreting statistical information, and using it to form sound judgments in business situations. Includes brief review of sampling, sampling distributions, and basic inference for one-sample situations; comparison of two populations, chi-square tests for contingency tables, analysis of variance, simple linear regression, and topics in multiple regression and time series. Statistical software used for computations. A project using regression methods required.

Emphasis on understanding and interpreting statistical information, and using it to form sound judgments in business situations. Includes brief review of sampling, sampling distributions, and basic inference for one-sample situations; comparison of two populations, chi-square tests for contingency tables, analysis of variance, simple linear regression, and topics in multiple regression and time series. Statistical software used for computations. A project using regression methods required.

Emphasis on understanding and interpreting statistical information, and using it to form sound judgments in business situations. Includes brief review of sampling, sampling distributions, and basic inference for one-sample situations; comparison of two populations, chi-square tests for contingency tables, analysis of variance, simple linear regression, and topics in multiple regression and time series. Statistical software used for computations. A project using regression methods required.