a) Find:i) the marginal distribution of X and Y. Are X and Y independent?ii) the probability that fewer than two children fatal given that at least one baby car seats in use at the time of the accident.b) Determine the covariance between X and Y .Give your comment on the relationship between baby car seat and child fatality. Table below presents the joint probability distribution associated with data obtained in a studyof auto-mobile accidents in which a child under age 5 years was in a car.Y121/91/92/912/92/921/9Notice that X is the number of baby car seats in use at the time of the accident and Y is thenumber of child fatalities.

Answered: Image /qna-images/answer/a3a49665-acb6-4484-81d9-20483e3d4953.jpg

Answered: Table below presents the joint…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

a) Find:
i) the marginal distribution of X and Y. Are X and Y independent?

ii) the probability that fewer than two children fatal given that at least one baby car seats in use at the time of the accident.

b) Determine the covariance between X and Y .Give your comment on the relationship between baby car seat and child fatality.

Table below presents the joint probability distribution associated with data obtained in a study
of auto-mobile accidents in which a child under age 5 years was in a car.
Y
1
2
1/9
1/9
2/9
1
2/9
2/9
2
1/9
Notice that X is the number of baby car seats in use at the time of the accident and Y is the
number of child fatalities.

Definition Definition Measure of how two random variables change together. Covariance indicates the joint variability or the directional relationship between two variables. When two variables change in the same direction (i.e., if they either increase or decrease together), they have a positive covariance. When the change is in opposite directions (i.e., if one increases and the other decreases), the two variables have a a negative covariance.

Expert Solution