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.

Designed for students majoring in the Isenberg School of Management, Resource Economics, Economics, and other social science majors, and for students who haven't declared a major. Introduction to basic statistical methods used to collect, summarize, and analyze numerical data. Emphasis on application to decision making; examples from the social sciences. Topics include: common statistical notation, elementary probability theory, sampling, descriptive statistics, statistical estimation and hypothesis testing. Basic algebra required. (Gen.Ed.

Designed for students majoring in the Isenberg School of Management, Resource Economics, Economics, and other social science majors, and for students who haven't declared a major. Introduction to basic statistical methods used to collect, summarize, and analyze numerical data. Emphasis on application to decision making; examples from the social sciences. Topics include: common statistical notation, elementary probability theory, sampling, descriptive statistics, statistical estimation and hypothesis testing. Basic algebra required. (Gen.Ed.

Designed for students majoring in the Isenberg School of Management, Resource Economics, Economics, and other social science majors, and for students who haven't declared a major. Introduction to basic statistical methods used to collect, summarize, and analyze numerical data. Emphasis on application to decision making; examples from the social sciences. Topics include: common statistical notation, elementary probability theory, sampling, descriptive statistics, statistical estimation and hypothesis testing. Basic algebra required. (Gen.Ed.

Designed for students majoring in the Isenberg School of Management, Resource Economics, Economics, and other social science majors, and for students who haven't declared a major. Introduction to basic statistical methods used to collect, summarize, and analyze numerical data. Emphasis on application to decision making; examples from the social sciences. Topics include: common statistical notation, elementary probability theory, sampling, descriptive statistics, statistical estimation and hypothesis testing. Basic algebra required. (Gen.Ed.

Designed for students majoring in the Isenberg School of Management, Resource Economics, Economics, and other social science majors, and for students who haven't declared a major. Introduction to basic statistical methods used to collect, summarize, and analyze numerical data. Emphasis on application to decision making; examples from the social sciences. Topics include: common statistical notation, elementary probability theory, sampling, descriptive statistics, statistical estimation and hypothesis testing. Basic algebra required. (Gen.Ed.

Designed for students majoring in the Isenberg School of Management, Resource Economics, Economics, and other social science majors, and for students who haven't declared a major. Introduction to basic statistical methods used to collect, summarize, and analyze numerical data. Emphasis on application to decision making; examples from the social sciences. Topics include: common statistical notation, elementary probability theory, sampling, descriptive statistics, statistical estimation and hypothesis testing. Basic algebra required. (Gen.Ed.

Designed for students majoring in the Isenberg School of Management, Resource Economics, Economics, and other social science majors, and for students who haven't declared a major. Introduction to basic statistical methods used to collect, summarize, and analyze numerical data. Emphasis on application to decision making; examples from the social sciences. Topics include: common statistical notation, elementary probability theory, sampling, descriptive statistics, statistical estimation and hypothesis testing. Basic algebra required. (Gen.Ed.

Designed for students majoring in the Isenberg School of Management, Resource Economics, Economics, and other social science majors, and for students who haven't declared a major. Introduction to basic statistical methods used to collect, summarize, and analyze numerical data. Emphasis on application to decision making; examples from the social sciences. Topics include: common statistical notation, elementary probability theory, sampling, descriptive statistics, statistical estimation and hypothesis testing. Basic algebra required. (Gen.Ed.

Designed for students majoring in the Isenberg School of Management, Resource Economics, Economics, and other social science majors, and for students who haven't declared a major. Introduction to basic statistical methods used to collect, summarize, and analyze numerical data. Emphasis on application to decision making; examples from the social sciences. Topics include: common statistical notation, elementary probability theory, sampling, descriptive statistics, statistical estimation and hypothesis testing. Basic algebra required. (Gen.Ed.