14/6/1435 lecture 10 lecture 9. the probability distribution for the discrete variable satify the...
TRANSCRIPT
The probability distribution for The probability distribution for the discrete variablethe discrete variable
Satify the following conditions
P(x)>= 0 for all x
Probability Functions and Probability Distributions
Example 1:
In an experiment of tossing a fair coin three times observing the number of heads (X) find:
1. The probability distribution table
2. The mathematical expectation ( mean)
3. Construct the probability histogram
Jan 2009 3
S = { HHH , HHT , HTH , THH , TTT , THT , TTH , HTT }
At any point x, the number of At any point x, the number of heads areheads are
S = { HHH , HHT , HTH , THH , TTT , THT , TTH , HTT }
23 022 11 1
From the sample space
3 2 1 0 عدد ظهور Hالوجه
1/8 3/8 3/8 1/8 االحتمال
Mathematical
Expectation
2. The mathematical expectation ( mean)
.
Example 2:
In an experiment of tossing a fair coin three times observing the absolute difference between the number of H and T find:
1. The probability distribution table
2. The expectation
3. The mean
4. Construct the probability histogram
Jan 2009 8
S = { HHH , HHT , HTH , THH , TTT , THT , TTH , HTT }
13 311 11 1
Its range is a random variable defined in Y= {1,3}
The absolute difference and the range
Jan 2009 10
3 1 YYقيمة قيمة
1/4 3/4
P(Y=y)
1. The probability distribution table
What is the probability that Y= 1
In an experiment of rolling two fair dice, X is defined as the sum of two up faces
مثال
11 22 33 44 55 66
11 (1,1) (2,1) (3,1) (4,1) (5,1) (6,1)
22 (1,2) (2,2) (3,2) (4,2) (5,2) (6,2)
33 (1,3) (2,3) (3,3) (4,3) (5,3) (6,3)
44 (1,4) (2,4) (3,4) (4,4) (5,4) (6,4)
55 (1,5) (2,5) (3,5) (4,5) (5,5) (6,5)
66 (1,6) (2,6) (3,6) (4,6) (5,6) (6,6)
Elements of the sample space = 62 = 36 elements
X is a random variable defined in SThe range of it is {2,3,4,……….,11,12}