Special Topics in IE:Advanced statistics with R (IE 48002)

2022 Fall
Faculty of Engineering and Natural Sciences
Industrial Engineering(IE)
3
6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Semih Onur Sezer -sezer@sabanciuniv.edu,
English
Undergraduate
MATH306
Formal lecture
Discussion based learning
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CONTENT

The course aims to discuss importance topics in statistics in a mathematically rigorous way. The topics that will be discussed include sampling distributions and asymptotics, point and interval estimations, hypothesis testing, ANOVA and regression analysis. Implementations will be illustrated with R.

OBJECTIVE

The course aims to discuss importance topics in statistics in a mathematically rigorous way. The topics that will be discussed include sampling distributions and asymptotics, point and interval estimations, hypothesis testing. Implementations will be illustrated with R.

LEARNING OUTCOME

Identify special sampling distributions
Investigate various properties of statistics
Identify the limiting behavior of important statistics
Find and evaluate point estimators
Construct confidence intervals
Conduct hypothesis tests
Use R for various statistical tasks (including those related to the CLOs described above)

ASSESSMENT METHODS and CRITERIA

  Percentage (%)
Final 55
Midterm 45