Probabilistic Systems Analysis and Applied Probability

Lecture 23 Classical Statistical Inference - I

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Lecture Topics

Classical statistics Maximum likelihood (ML) estimation Estimating a sample mean Confidence intervals (CIs) CIs using an estimated variance

Lecture Activities

• Watch the Lecture 23 Video by Prof. Tsitsiklis (00:49:32)
• Review the Lecture 23 Classical Statistical Inference - I Slides (PDF)
• Read Section 9.1 in the textbook

Recitation Problems

Review the recitation problems in the PDF file below and try to solve them on your own.

• Recitation 23 Problems (PDF)

• Recitation 23 Solutions (PDF)

• Recitation 24 Problems (PDF) Do ONLY Problem 1

• Recitation 24 Solutions (PDF)

Tutorial Problems

Review the tutorial problems in the PDF file below and try to solve them on your own.

• Tutorial 11 Problems (PDF) Do ONly Problem 2
• Tutorial 11 Solutions (PDF)

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