Statistical Modelling (MATH 306)

2021 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)
Özgür Asar ozgur.asar@sabanciuniv.edu,
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English
Undergraduate
MATH203
Formal lecture,Recitation
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 55
Midterm 45

RECOMENDED or REQUIRED READINGS

Textbook

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