Statistics Examples

xP(x)30.160.280.3110.2150.2
Step 1
Prove that the given table satisfies the two properties needed for a probability distribution.
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Step 1.1
A discrete random variable x takes a set of separate values (such as 0, 1, 2...). Its probability distribution assigns a probability P(x) to each possible value x. For each x, the probability P(x) falls between 0 and 1 inclusive and the sum of the probabilities for all the possible x values equals to 1.
1. For each x, 0P(x)1.
2. P(x0)+P(x1)+P(x2)++P(xn)=1.
Step 1.2
0.1 is between 0 and 1 inclusive, which meets the first property of the probability distribution.
0.1 is between 0 and 1 inclusive
Step 1.3
0.2 is between 0 and 1 inclusive, which meets the first property of the probability distribution.
0.2 is between 0 and 1 inclusive
Step 1.4
0.3 is between 0 and 1 inclusive, which meets the first property of the probability distribution.
0.3 is between 0 and 1 inclusive
Step 1.5
0.2 is between 0 and 1 inclusive, which meets the first property of the probability distribution.
0.2 is between 0 and 1 inclusive
Step 1.6
For each x, the probability P(x) falls between 0 and 1 inclusive, which meets the first property of the probability distribution.
0P(x)1 for all x values
Step 1.7
Find the sum of the probabilities for all the possible x values.
0.1+0.2+0.3+0.2+0.2
Step 1.8
The sum of the probabilities for all the possible x values is 0.1+0.2+0.3+0.2+0.2=1.
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Step 1.8.1
Add 0.1 and 0.2.
0.3+0.3+0.2+0.2
Step 1.8.2
Add 0.3 and 0.3.
0.6+0.2+0.2
Step 1.8.3
Add 0.6 and 0.2.
0.8+0.2
Step 1.8.4
Add 0.8 and 0.2.
1
1
Step 1.9
For each x, the probability of P(x) falls between 0 and 1 inclusive. In addition, the sum of the probabilities for all the possible x equals 1, which means that the table satisfies the two properties of a probability distribution.
The table satisfies the two properties of a probability distribution:
Property 1: 0P(x)1 for all x values
Property 2: 0.1+0.2+0.3+0.2+0.2=1
The table satisfies the two properties of a probability distribution:
Property 1: 0P(x)1 for all x values
Property 2: 0.1+0.2+0.3+0.2+0.2=1
Step 2
The expectation mean of a distribution is the value expected if trials of the distribution could continue indefinitely. This is equal to each value multiplied by its discrete probability.
u=30.1+60.2+80.3+110.2+150.2
Step 3
Simplify each term.
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Step 3.1
Multiply 3 by 0.1.
u=0.3+60.2+80.3+110.2+150.2
Step 3.2
Multiply 6 by 0.2.
u=0.3+1.2+80.3+110.2+150.2
Step 3.3
Multiply 8 by 0.3.
u=0.3+1.2+2.4+110.2+150.2
Step 3.4
Multiply 11 by 0.2.
u=0.3+1.2+2.4+2.2+150.2
Step 3.5
Multiply 15 by 0.2.
u=0.3+1.2+2.4+2.2+3
u=0.3+1.2+2.4+2.2+3
Step 4
Simplify by adding numbers.
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Step 4.1
Add 0.3 and 1.2.
u=1.5+2.4+2.2+3
Step 4.2
Add 1.5 and 2.4.
u=3.9+2.2+3
Step 4.3
Add 3.9 and 2.2.
u=6.1+3
Step 4.4
Add 6.1 and 3.
u=9.1
u=9.1
Step 5
The variance of a distribution is a measure of the dispersion and is equal to the square of the standard deviation.
s2=(x-u)2(P(x))
Step 6
Fill in the known values.
(3-(9.1))20.1+(6-(9.1))20.2+(8-(9.1))20.3+(11-(9.1))20.2+(15-(9.1))20.2
Step 7
Simplify the expression.
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Step 7.1
Simplify each term.
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Step 7.1.1
Multiply -1 by 9.1.
(3-9.1)20.1+(6-(9.1))20.2+(8-(9.1))20.3+(11-(9.1))20.2+(15-(9.1))20.2
Step 7.1.2
Subtract 9.1 from 3.
(-6.1)20.1+(6-(9.1))20.2+(8-(9.1))20.3+(11-(9.1))20.2+(15-(9.1))20.2
Step 7.1.3
Raise -6.1 to the power of 2.
37.210.1+(6-(9.1))20.2+(8-(9.1))20.3+(11-(9.1))20.2+(15-(9.1))20.2
Step 7.1.4
Multiply 37.21 by 0.1.
3.721+(6-(9.1))20.2+(8-(9.1))20.3+(11-(9.1))20.2+(15-(9.1))20.2
Step 7.1.5
Multiply -1 by 9.1.
3.721+(6-9.1)20.2+(8-(9.1))20.3+(11-(9.1))20.2+(15-(9.1))20.2
Step 7.1.6
Subtract 9.1 from 6.
3.721+(-3.1)20.2+(8-(9.1))20.3+(11-(9.1))20.2+(15-(9.1))20.2
Step 7.1.7
Raise -3.1 to the power of 2.
3.721+9.610.2+(8-(9.1))20.3+(11-(9.1))20.2+(15-(9.1))20.2
Step 7.1.8
Multiply 9.61 by 0.2.
3.721+1.922+(8-(9.1))20.3+(11-(9.1))20.2+(15-(9.1))20.2
Step 7.1.9
Multiply -1 by 9.1.
3.721+1.922+(8-9.1)20.3+(11-(9.1))20.2+(15-(9.1))20.2
Step 7.1.10
Subtract 9.1 from 8.
3.721+1.922+(-1.1)20.3+(11-(9.1))20.2+(15-(9.1))20.2
Step 7.1.11
Raise -1.1 to the power of 2.
3.721+1.922+1.210.3+(11-(9.1))20.2+(15-(9.1))20.2
Step 7.1.12
Multiply 1.21 by 0.3.
3.721+1.922+0.363+(11-(9.1))20.2+(15-(9.1))20.2
Step 7.1.13
Multiply -1 by 9.1.
3.721+1.922+0.363+(11-9.1)20.2+(15-(9.1))20.2
Step 7.1.14
Subtract 9.1 from 11.
3.721+1.922+0.363+1.920.2+(15-(9.1))20.2
Step 7.1.15
Raise 1.9 to the power of 2.
3.721+1.922+0.363+3.610.2+(15-(9.1))20.2
Step 7.1.16
Multiply 3.61 by 0.2.
3.721+1.922+0.363+0.722+(15-(9.1))20.2
Step 7.1.17
Multiply -1 by 9.1.
3.721+1.922+0.363+0.722+(15-9.1)20.2
Step 7.1.18
Subtract 9.1 from 15.
3.721+1.922+0.363+0.722+5.920.2
Step 7.1.19
Raise 5.9 to the power of 2.
3.721+1.922+0.363+0.722+34.810.2
Step 7.1.20
Multiply 34.81 by 0.2.
3.721+1.922+0.363+0.722+6.962
3.721+1.922+0.363+0.722+6.962
Step 7.2
Simplify by adding numbers.
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Step 7.2.1
Add 3.721 and 1.922.
5.643+0.363+0.722+6.962
Step 7.2.2
Add 5.643 and 0.363.
6.006+0.722+6.962
Step 7.2.3
Add 6.006 and 0.722.
6.728+6.962
Step 7.2.4
Add 6.728 and 6.962.
13.69
13.69
13.69
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