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Matlab statistical commands
Exercise
class 1: A short repetition from earlier course in Statistics of the following
concepts
ˇ
Random variable (r.v)
ˇ
Discrete r.v (example; Bernoulli,
Binomial, Poisson)
ˇ
Continuous r.v (example:
Exponential)
ˇ
Probability mass function (pmf)
ˇ
Probability density function
(pdf)
ˇ
Cumulative distribution function (cdf)
ˇ
Expected value (mean
value)
ˇ
Standard
deviation and variance
ˇ
Moment
generating function
Exercise class
2:
ˇ
Covariance and correlation
ˇ
Joint
distribution
ˇ
Marginal
distribution
ˇ
The
normal distribution
ˇ
The
Bivariate normal distribution
ˇ
Convergence in distribution
ˇ
The
Central limit theorem
Week 2
Exercise class 3:
ˇ
Chapter 7: Problem 7 (in 2nd
edition)/7 (in 3rd edition), 15/15, 17/21, 25/31, 27/33, --/48
Exercise class
4:
ˇ
Chapter 6: Problem 5/5, 6/6
ˇ
Chapter 8: Problem 1/1, 5 (3rd
ed), 5/7, 17/19
Week 3
Exercise class 5 and 6:
ˇ
Chapter 8: Problem 29/33, 42/50, 57/71, 59/73
ˇ
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:
ˇ
Chapter 10: Problem 1/1, 3/3, 9/9, 15/15, 17/17, 25/25, 29/29,
33/33, 41/41
ˇ
Chapter 11: Problem 3/3, 13/13, --/15,
--/17 19/21
Week 5
Exercise class 9 and 10:
ˇ
Chapter 11: Problem --/33, 34/36, 37/39
ˇ
Chapter 12: Problem --/17, 19/21, 24/26
Week 6
Exercise class 11 and 12:
ˇ
Chapter 13: Problem 5/5, 7/7, 13/13, 21/21
ˇ
Chapter 14: Problem 2/2, 9/11, 13/15, 17/19, 31/35
Week 7
Exercise class 13 and 14:
ˇ
Old
exams