Given below are tables or formulas which might represent a discrete probability distribution. If it could be a discrete probability distribution write “yes”. If the information given in the table or formula could not represent a discrete probability distribution, write “no” AND explain why it can’t represent a discrete probability distribution. a) x 1 2 3 4 P(X=x) .32 .25 .40 .03 b) x 1 2 3 4 P(X=x) .2 .3 .4 .5 c) x 1 2 3 4 P(X=x) 0.4 −0.1 0.4 0.3
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.
Please help me with the answers for the following problems and the ones included in the picture. Thanks so much!
Given below are tables or formulas which might represent a discrete
a)
|
x |
1 |
2 |
3 |
4 |
|
|
P(X=x) |
.32 |
.25 |
.40 |
.03 |
b)
|
x |
1 |
2 |
3 |
4 |
|
|
P(X=x) |
.2 |
.3 |
.4 |
.5 |
c)
|
x |
1 |
2 |
3 |
4 |
|
|
P(X=x) |
0.4 |
−0.1 |
0.4 |
0.3 |
d)
|
x |
1 |
2 |
3 |
22 |
|
|
P(X=x) |
.1 |
.2 |
.3 |
.4 |
e)
|
x |
−1 |
0 |
1 |
2 |
|
|
P(X=x) |
.4 |
.3 |
.2 |
.1 |
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