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Matlab statistical commands

Preliminary plan for Exercise classes

Week 1

Exercise class 1: A short repetition from earlier course in Statistics of the following concepts

·         Random variable (r.v)

·         Discrete r.v (example; Bernoulli, Binomial, Poisson)

·         Continuous r.v (example: Exponential)

·         Probability mass function (pmf)

·         Probability density function (pdf)

·         Cumulative distribution function (cdf)

·         Expected value (mean value)

·         Standard deviation and variance

·         Moment generating function

Exercise class 2:

·         Covariance and correlation

·         Joint distribution

·         Marginal distribution

·         The normal distribution

·         The Bivariate normal distribution

·         Convergence in distribution

·         The Central limit theorem

 

Week 2
Exercise class 3:

·         Chapter 7: Problem 7 (in 2nd edition)/7 (in 3rd edition), 15/15, 17/21, 25/31, 27/33, 43/49

Exercise class 4:

·         Chapter 6: Problem 5/5, 6/6

·         Chapter 8: Problem 1/1, 5 (3rd ed), 5/7, 17/19, 57/71

 

Week 3
Exercise class 5 and 6:

·         Chapter 8: Problem 29/33, 42/50, 59/73

·         Chapter 9: Problem 5/5, 9/9, 12/12, 15/23, 21/29, 23/31, 29/37, 37/47

 

Week 4
Exercise class 7 and 8:

·         Chapter 10: Problem 1/1, 3/3, 9/9, 15/15, 17/17, 25/25, 29/29, 33/33, 41/41

·         Chapter 11: Problem 3/3, 13/13, 19/21

 

Week 5
Exercise class 9 and 10:

·         Chapter 11: Problem 34/36, 37/39

·         Chapter 12: Problem 19/21, 24/26

 

Week 6
Exercise class 11 and 12:

·         Chapter 13: Problem 5/5, 7/7, 13/13, 21/21

·         Chapter 14: Problem 2/2, 9/11, 13/15, 17/19, 31/35

 

Week 7
Exercise class 13 and 14:

·         Old exams