Statistical Modelling (MATH 306)

2020 Summer
Faculty of Engineering and Natural Sciences
Mathematics(MATH)
3
6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Mikail Yılan mikail.yilan@sabanciuniv.edu,
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English
Undergraduate
MATH203
Formal lecture,Interactive lecture,Recitation
Interactive,Learner centered,Communicative,Discussion based learning
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CONTENT

Statistical inference; estimation, confidence intervals, hypothesis testing; analysis of variance; goodness of fit tests; regression and correlation analysis; Bayesian methods; introduction to design of experiments; use of statistical software.

OBJECTIVE

- To introduce the basic techniques of point and interval estimation
- To teach how to design and test hypotheses
- To teach the principles of regression analysis

LEARNING OUTCOME

Identify special sampling distributions
Apply the techniques of point estimation for parameters of interest and assess the quality of these estimators
Construct confidence intervals of parameters of interest

Apply the classical approach to hypothesis testing
Apply and implement special statistical tests
Fit and interpret linear regression models.

ASSESSMENT METHODS and CRITERIA

  Percentage (%)
Final 45
Midterm 35
Exam 20
Other 0

RECOMENDED or REQUIRED READINGS

Textbook

Probability and Statistics for Engineering and the Sciences by Devore, 9th Edition, Cengage 2016

John E. Freund's Mathematical Statistics with Applications, by I.Miller & M.Miller, 8th ed., Pearson International, 2014.