Explain the probability distribution for each die. -calculate expected value and variance for each die
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
1. Explain the
-calculate
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Let X : number occurs on the die
X={1,2,3,4,5,6}
Let Y : the prize money
The probability distribution of X for each die is given by:
X | P(x) |
1 | |
2 | |
3 | |
4 | |
5 | |
6 |
The probability distribution of Y and expected Y is given as:
Y (in $) | P(Y) | E(Y) (in $) |
1 | ||
2 | ||
0 | ||
4 | ||
5 | ||
6 | ||
Total | 1 | 3 |
Where the expected prize money is given by :
Therefore, the expected value for each die is given as:
Die | Expected Value (in $) |
1 | |
2 | |
3 | 0 |
4 | |
5 | |
6 | 1 |
Total | 3 |
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