Question

In: Statistics and Probability

Are the event “Political Affiliation” and “views on tariff” independent evets? Use statistical evidence to justify...

Are the event “Political Affiliation” and “views on tariff” independent evets? Use statistical evidence to justify your answer.

                                                            

                                    Opinion             

                       

Political Affiliation

F

O

U

Total

Democrat (D)

0.12

0.09

0.07

0.28

Republican (R)

0.16

0.12

0.14

0.42

Independent (I)

0.04

0.03

0.06

0.13

Green (G)

0.08

0.06

0.03

0.17

Total

0.4

0.3

0.3

1

Solutions

Expert Solution

We know that two variables X and Y are statistically independent if

P [X=i, Y=j] = P[X=i]. P[Y=j] for all i and j

Here if we consider Political Affiliation as X variable and Views on tariff as Y variable, and assume that i takes 4 values of Political Affiliation as D, R I and G

Also, consider j takes values of “Views on Tariff” as F, O and U

Here from the given table, we are clearly given with the joint probability distribution of X and Y.

Also the last column gives the marginal distribution of X and last row gives the marginal distribution of Y

Hence, marginal distribution of X is given as:

Value of X: Political Affiliation

P[X=i]; i= D, R, I,G

Democrat(D)

0.28

Republican(R)

0.42

Independent (I)

0.13

Green (G)

0.17

Total

1.0

Also, marginal distribution of Y is given as:

Value of Y: Views On Tariff

P[Y=j] ; j=F,O,U

F

0.4

O

0.3

U

0.3

Total

1.0

From the given table in the question, we get

P [X=D, Y=F] = 0.12

But P [X=D] P[ Y=F] = 0.28 x 0.4 = 0.112 which is not equal to 0.12

Hence , P [X=D, Y=F] =0.12 ≠ 0.112 = P [X=D] P[ Y=F]

Hence P [X=i, Y=j] = P[X=i]. P[Y=j] for all i and j -> this is a wrong statement.

Hence X and Y are not statistically independent.

Hence , “Political Affiliation” and “Views On Tariff” are not independent events.


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