END214

School of Engineering \ Industrial Engineering

3

5

Compulsory

Turkish

-

Industrial Engineering; Artificial Intelligence Engineering

Organizing, summarize and graph data; Point estimation and its features; Confidence interval; Hypothesis testing; Regression models and Correlation analysis

1. R.E. Walpole, R.H. Myers, S.L. Myers, K. Ye, “Probability and Statistics for Engineers and Sciences”, 8th Edition, Pearson Prentice Hall, 2007, New Jersey.*
2. F. Akdeniz, “Olasılık ve İstatistik “, Nobel Kitapevi, Ankara, 15. Baskı, 2010.
3. R.V. Hogg, J.W. McKean, A.T. Craig, “Introduction to Mathematical Statistics”, 2018.

1. Ability to organize, summarize and graphically display data,
2. Being able to make point estimations and knowing their features,
3. Ability to establish and interpret confidence intervals,
4. Ability to use hypothesis testing,
5. Ability to establish regression models,
6. Ability to perform correlation analysis.

1. Acquires the ability to organize, summarize and display data graphically,
2. Acquires the ability to make point estimation,
3. Acquires the ability to establish and interpret confidence intervals,
4. Acquires the ability to use hypothesis testing,
5. Acquires the ability to establish regression models,
6. Acquires the ability to perform correlation analysis.

Week 1: Sample selection and Data Editing
Week 2: Measures of Central Tendency
Week 3: Central Dispersion Measures
Week 4: Sampling distributions
Week 5: Point Estimator and Method of Moments
Week 6: Maximum likelihood method
Week 7: Confidence Interval
Week 8: Hypothesis tests for population means
Week 9: Hypothesis testing for population variances
Week 10: Regression Analysis 1: Linear Models
Week 11: Regression Analysis 2: Nonlinear Models
Week 12: Correlation Analysis

• Midterm 40 %
• Final 50 %
• Homework 10 %