UGİ104

School of Economics and Administrative Sciences \ International Entrepreneurship

3

6

Compulsory

Turkish

-

All Departments

• The course introduces the main concepts of probability theory and statistics including
o descriptive statistics and graphical analysis,
o probability theory,
o random variables, sampling, sampling distributions,
o interval estimation and hypothesis testing.
• The emphasis will be on applications and the intuition of statistical thinking.
• Students will learn how to utilize statistical software (Stata) for applications.

• P. Newbold, W.L. Carlson, B. Thorne: Statistics For Business and Economics, Sixth Edition, Prentice Hall.
• Students are highly recommended to read the textbook.
• You can also use any undergraduate-level textbook in Statistics.

Upon completing the course, the students should:
• be able to identify different types of data
• be able to plot different types of graphs,
• be able to generate descriptive statistics of the data,
• have gained a basic understanding of probability and random variables,
• have learned the basic properties of the commonly used discrete and continuous distributions,
• and have learned the basics of statistical testing of hypotheses.

1. Classify different types of data and plot appropriate graphs.
2. Calculate and interpret descriptive statistics of data.
3. Differentiate between discrete and continuous distributions and their properties.
4. Perform statistical hypothesis testing and interpret the results.
5. Utilize statistical software (Stata) for data analysis and applications.

Week 1: Introduction and using graphs to describe data
Week 2: Numerical measures (mean, median, variance, quantiles) to describe data
Week 3: Correlation and regression with a single variable
Week 4: Introduction to probability methods
Week 5: Discrete probability distributions
Week 6: Discrete probability distributions (Midterm)
Week 7: Continuous probability distributions
Week 8: Joint and conditional probability distributions
Week 9: Joint and conditional probability distributions
Week 10: Sampling distributions
Week 11: Confidence interval estimation
Week 12: Hypothesis testing and statistical communication & summary

• Midterm 45%
• Participation 10%
• Final 45%