ECON0111A-F23
Economic Statistics
Economic Statistics (formerly ECON 0210)
An introduction to the discipline of statistics as a science of understanding and analyzing
data with an emphasis on applications to economics. Key topics include descriptive statistics, probability distributions, sampling, random variables, the Central Limit Theorem, estimation, hypothesis testing, p-values, and linear regression. Students will be introduced to a statistical programming language. A weekly one-hour lab is part of this course in addition to three hours of class meetings per week. (Formerly ECON 0210) (Not open to students who have taken ECON 0210, MATH 0116, MATH 0310, or PSYC 0201.) 3 hrs. lect., 1 hr. lab
An introduction to the discipline of statistics as a science of understanding and analyzing
data with an emphasis on applications to economics. Key topics include descriptive statistics, probability distributions, sampling, random variables, the Central Limit Theorem, estimation, hypothesis testing, p-values, and linear regression. Students will be introduced to a statistical programming language. A weekly one-hour lab is part of this course in addition to three hours of class meetings per week. (Formerly ECON 0210) (Not open to students who have taken ECON 0210, MATH 0116, MATH 0310, or PSYC 0201.) 3 hrs. lect., 1 hr. lab
- Term:
- Fall 2023
- Location:
- Gifford LCT(GFD LCT)
- Schedule:
- 9:45am-10:35am on Monday, Wednesday, Friday (Sep 11, 2023 to Dec 11, 2023)
- Type:
- Lecture
- Course Modality:
- In-Person
- Instructors:
- Paul Sommers
- Subject:
- Economics
- Department:
- Economics
- Division:
- Social Sciences
- Requirements Fulfilled:
- DED
- Levels:
- Undergraduate
- Availability:
- View availability, prerequisites, and other requirements.
- Course Reference Number (CRN):
- 91872
- Subject Code:
- ECON
- Course Number:
- 0111
- Section Identifier:
- A