ECON205 STATISTICS FOR ECONOMISTS I
| Course Code: | 3110205 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 6.0 |
| Department: | Economics |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Assist.Prof.Dr NİL İPEK ŞİRİKÇİ |
| Offered Semester: | Fall and Spring Semesters. |
Course Objectives
At the end of this course, the student will learn:
- basic concepts used in probability analysis
- use of discrete and continuous random variables
- basics of multivariate probability distributions
- finding the probability distribution of a function of random variables
Course Content
This course deals with frequency distributions, measures of central tendency and variability, basic theorems of probability, independent and joint events, conditional probability, discrete probability distributions, normal distributions, sampling distributions and sample drawing techniques.
Course Learning Outcomes
Student, who passed the course satisfactorily will be able to:
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Calculate the probability of an event and conditional probability and the independence of events
-
use the probability distribution for discrete and continuous random variables
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evaluate multivariable probability distributions
-
finding the probability distribution of a function of random variables
Program Outcomes Matrix
| Level of Contribution | |||||
| # | Program Outcomes | 0 | 1 | 2 | 3 |
| 1 | The aim of our program is to equip our students with the necessary skills and tools to have a firm understanding of economic theory and policymaking. Our graduates will be able to conceptualize economic problems, assess, analyze, and propose scientific solutions to them. | ✔ | |||
| 2 | Our students are expected to have interdisciplinary perspective to be able to follow and understand daily economic and political developments. | ✔ | |||
| 3 | Our program also trains students to be open to new ideas, be sensitive about social problems surrounding them and work towards providing solutions for these to share with their community. | ✔ | |||
0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution