Evaluation and Class material
Evaluation
Evaluation will be done based on:
25% - Assignments spread over the semester20% - two quizzes 10+10
20% - Midsem
35% - Endsem
In Class
In what follows for references within a book the book will be referred to by the serial number below or by first author name.
- Gary W Oehlert, A First Course in Design and Analsyis of Experiments, Creative Commons License, 2010.
- Scott E Maxwell, Harold D Delaney, Ken Kelley, Designing Experiments and Analyzing Data: A Model Comparison Perspective, 3rd Ed, Routledge, 2018.
- Marc S Paolella, Fundamental Probability: A Computational Approach, Wiley, 2006.
- D S Moore, G P McCabe, B A Craig, Introduction to the Practice of Statistics, 9th Ed., WH Freeman and Co., 2017.
Videos of the lectures are available on mooKIT.
- Lec 1: About course
- Source:
- About the course
- Other references:
- Look at the useful links page. You should familiarize yourself with the libraries listed. Documentation links are available on the respective web sites. Some are also available in the download folder.
- Lec 2: Introduction, dependent, independent variables
- Source:
- On data generation, analysis. Independent, dependent variables
- Other references:
- Read chp 1 of ref. 1.
- Read chp 1, chp 2 from ref. 2.
- Lec 3: Experiment design 1
- Source:
- Experiments, observational studies, causation
- Other references:
- Read chp 1 of ref. 1.
- Read chp 1, chp 2 from ref. 2.
- Lec 4: Experiment design, terminology, randomization
- Source:
- Terminology, randomization
- Other references:
- Read chp 1 of ref. 1.
- Also read chps 1, 2 from ref 3. (preparatory for probability, statistics).
- Lec 5: Probability, Statistics - 1
- Source:
- Basic concepts
- Other references:
- Read chps 1, 2 - Paolella.
- Lec 6: Probability, Statistics - 2
- Source:
- Distributions, parameters, sampling distr.
- Other references:
- Read Moore-McCabe Part I - chps 1, 2, 3, Part II - chps 4, 5, 6.
- Lec 7: Probability, Statistics - 3
- Source:
- Basic probability
- Other references:
- Paolella sec 1.4, chp 2, sec 3.1, 3.2.
- Lec 8: Probability, Statistics - 4
- Source:
- Probability examples
- Other references:
- Same as lecture 7.
- Lec 9: Probability, Statistics - 5
- Source:
- Normal distr, simple random sample
- Other references:
- Lec 10: Central Limit Theorem
- Source:
- CLT and consequences
- Other references:
- Lec 11: CLT consequences
- Source:
- CLT consequences, examples
- See lecture. Recording is on mooKIT.
- Lec 12: Confidence intervals
- Source:
- CI, CL, Logic of Hyp. testing
- Lec 13: Hypothesis testing
- Source:
- Hypothesis testing
- Lec 14: Erorrs, Power and relation with Alpha
- Source:
- Errors, alpha, beta, power
- Lec 15: Effect Size
- Source:
- Effect size
- Lec 16: Factorial, fractional designs
- Source:
- Factorial designs
- Lec 17: ANoVA
- Source:
- ANoVA
- Lec 18: Correlation
- Source:
- Correlation
- Lec 19: Regression
- Source:
- Regression
- Lec 20: Multiple Regression
- Source:
- Multiple Regression
- Lec 21: Regression, ANoVA connection