Lecture 10: Worksheet, Schemes and Mind Maps of Probability and Statistics

Math 19b: Linear Algebra with Probability. Oliver Knill, Spring 2011. Lecture 10: Worksheet. Random variables. 1 We throw 3 dice and define the random ...

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Math 19b: Linear Algebra with Probability Oliver Knill, Spring 2011
Lecture 10: Worksheet
Random variables
1We throw 3 dice and define the random variable X(ω) which as
the maximal value of the three dice. Draw the probability distribu-
tion. This means we want to find the probabilities P[X= 1],P[X=
2],P[X= 3],P[X= 4],P[X= 5] and P[X= 6].
2Find the mean
m= E[X] = 1P[X= 1] + 2P[X= 2] + ... + 6P[X= 6]
of the random variable Xfound in the previous problem.
3Time will probably not permit this during class but find the vari-
ance of X
Var[X] = (1m)2P[X= 1]+(2m)2P[X= 2]+...+(6m)2P[X= 6]
4Find the standard deviation σ[X] = qVar[X].
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Math 19b: Linear Algebra with Probability

Oliver Knill, Spring 2011

Lecture 10: Worksheet Random variables^1

We throw 3 dice and define the random variable

X

) which as

the maximal value of the three dice. Draw the probability distribu-tion. This means we want to find the probabilities P[

X

= 1]

,^ P[

X

2]

,^ P[

X

= 3]

,^ P[

X

= 4]

,^ P[

X

= 5] and P[

X

= 6].

Find the mean

m

= E[

X

] = 1P[

X

= 1] + 2P[

X

= 2] +

+ 6P[

X

= 6]

of the random variable

X

found in the previous problem.

Time will probably not permit this during class but find the vari- ance of

X

Var[

X

] = (

m

P[

X

= 1]+(

m

P[

X

= 2]+

m

P[

X

= 6]

Find the standard deviation

σ

[X

] =

√ Var[

X

].

1

2

3

4

5

6

40 30 20 10