Question

In: Statistics and Probability

Consider the probability distribution of the discrete random vector [Χ,Y ] where Χ represents the number...

Consider the probability distribution of the discrete random vector [Χ,Y ] where Χ represents the
number of orders for chickens in August at neighbouring supermarket and Y represents the number
of orders in September. The joint distribution is shown in the following table:
6
Χ
Y 100 200 300 400 500
100 0.06 0.05 0.05 0.01 0.01
200 0.07 0.05 0.01 0.01 0.01
300 0.05 0.10 0.10 0.05 0.05
400 0.05 0.02 0.01 0.01 0.03
500 0.05 0.06 0.05 0.01 0.03
(a) Find the probability that Χ ≥100 and Y ≥100
(b) Find the marginal distribution of Χ?
(c) Find the marginal distribution of Y ?
(d) Find the expected sales for August i.e. E(X )
(e) Find the expected sales for September i.e. Ε(Y )
(f) Find the conditional distribution of Y Χ = 500
(g) Find Ρ(Y ≥100 Χ = 500)
(h) Calculate the correlation coefficient of Χ and Y . (4 Marks

Solutions

Expert Solution

GIVEN THAT :-

According to the question we have that ,

'Χ' represents the number of orders chickens in August at neighbouring supermarket.

'Y' represents the number of orders in September.

now finding the questions below :-

TO FIND :-a)Find the probability that Χ ≥100 and Y ≥100?

now we have that

i)P(X100) ii)P(Y100)

now the solution is

i)P(X100) =0.05 + 0.01+ 0.10+ 0.01+ 0.05 + 0.01 + 0.01 + 0.05 + 0.01+ 0.01 + 0.01 + 0.01 + 0.05 + 0.03 + 0.03 (sum of the values in X,100)

there fore , P(X100)=0.44

ii)P(Y100)=0.05 + 0.10 +0.10 + 0.05 + 0.05 + 0.05 + 0.02 + 0.01 + 0.01 + 0.03 + 0.05 +0.06 +0.05 + 0.01 +0.03 = 0.67 (sumof the values in 100,Y)

there fore ,P(Y100)=0.67

TO FIND :-(b) Find the marginal distribution of Χ?

Now there fore , we have that

100 200 300 400 500 total

0.06 0.05 0.05 0.01 0.01 0.18

0.07 0.05 0.01 0.01 0.01 0.15

0.05 0.10 0.10 0.05 0.05 0.35

0.05 0.02 0.01 0.01 0.03 0.12

0.05 0.06 0.05 0.01 0.03 0.20

there fore grand total of total is 1.00

TO FIND :-c)Find the marginal distribution of Y ?

same as the marginal distribution of x

now

100 0.06 0.05 0.05 0.01 0.01

200 0.07 0.05 0.01 0.01 0.01

300 0.05 0.10 0.10 0.05 0.05

400 0.05 0.02 0.01 0.01 0.03

500 0.05 0.06 0.05 0.01 0.03

total 0.028 0.028 0.22 0.09 0.13

there fore grand total of total is 1.00

TO FIND :-e) Find the expected sales for September i.e. Ε(Y )

now finding the expected sales

E(Y)=100*0.06+200*0.15+300*0.35+400*0.12+55*0.2

E(Y)=301

TO FIND :-f) Find the conditional distribution of Y/ Χ = 500?

now having this as

conditional distribution of Y/X=500

=0.20/0.13

conditional distribution of Y/X =1.54

*************************************************

I Have solved 5 parts of the above question Please repost the remainaing questions

Please give us thumbsup and encourage us

****THANK YOU****


Related Solutions

In the probability distribution to the​ right, the random variable X represents the number of hits...
In the probability distribution to the​ right, the random variable X represents the number of hits a baseball player obtained in a game over the course of a season. Complete parts​ (a) through​ (f) below. x ​P(x) 0 0.1685 1 0.3358 2 0.2828 3 0.1501 4 0.0374 5 0.0254 ​ (a) Verify that this is a discrete probability distribution. This is a discrete probability distribution because all of the probabilities are at least one of the probabilities is all of...
Provide an example of a probability distribution of discrete random variable, Y, that takes any 4...
Provide an example of a probability distribution of discrete random variable, Y, that takes any 4 different integer values between 1 and 20 inclusive; and present the values of Y and their corresponding (non-zero) probabilities in a probability distribution table. Calculate: a) E(Y) b) E(Y2 ) and c) var(Y). d) Give examples of values of ? and ? , both non-zero, for a binomial random variable X. Use either the binomial probability formula or the binomial probability cumulative distribution tables...
.The following table displays the joint probability distribution of two discrete random variables X and Y....
.The following table displays the joint probability distribution of two discrete random variables X and Y. -1 0 1 2 1 0.2 0 0.16 0.12 0 0.3 0.12 0.1 0 What is P(X=1/Y=1)?    What is the value of E(X/Y=1)?    What is the value of VAR(X/Y = 1)? What is the correlation between X and Y? What is variance of W = 4X - 2Y. What is covariance between X and W?
For a pair of dice, if the discrete random variable is defined by χ= {█(1 if...
For a pair of dice, if the discrete random variable is defined by χ= {█(1 if a=b@max⁡(a,b)if a≠b)┤ (i) Determine the χ; χ(S) (ii) Construct the probability distribution table of χ;f(xi) (iii) Find the expected value χ;E(χ) (v) Variance (vi) Standard deviation (vi) Normal interval for
Initial Post Instructions Topic: Poisson Probability Distribution The Poisson Distribution is a discrete probability distribution where...
Initial Post Instructions Topic: Poisson Probability Distribution The Poisson Distribution is a discrete probability distribution where the number of occurrences in one interval (time or area) is independent of the number of occurrences in other intervals. April Showers bring May Flowers!! Research the "Average Amount of Days of Precipitation in April" for a city of your choice. In your initial post, Introduce Introduce the City and State. Let us know a fun fact! Tell us the average number of days...
Let X and Y be two discrete random variables whose joint probability distribution function is given...
Let X and Y be two discrete random variables whose joint probability distribution function is given by f(x, y) = 1 12 x 2 + y for x = −1, 1 and y = 0, 1, 2 a) Find cov(X, Y ). b) Determine whether X and Y are independent or not. (Justify your answer.
Consider a continuous random vector (Y, X) with joint probability density function f(x, y) = 1...
Consider a continuous random vector (Y, X) with joint probability density function f(x, y) = 1                            for 0 < x < 1, x < y < x + 1. What is the marginal density of X and Y? Use this to compute Var(X) and Var(Y) Compute the expectation E[XY] Use the previous results to compute the correlation Corr (Y, X) Compute the third moment of Y, i.e., E[Y3]
Consider a continuous random vector (Y, X) with joint probability density function f(x, y) = 1...
Consider a continuous random vector (Y, X) with joint probability density function f(x, y) = 1 for 0 < x < 1, x < y < x + 1. A. What is the marginal density of X and Y ? Use this to compute Var(X) and Var(Y). B. Compute the expectation E[XY] C. Use the previous results to compute the correlation Corr(Y, X). D. Compute the third moment of Y , i.e., E[Y3].
What are the requirements for a probability distribution? Differentiate between a discrete and a continuous random...
What are the requirements for a probability distribution? Differentiate between a discrete and a continuous random variable. Discuss the requirements for a binomial probability experiment.
Discrete R.V and Probability Distribution
A new battery's voltage may be acceptable (A) or unacceptable (U). A certain ash-light requires two batteries, so batteries will be independently selected and tested until two acceptable ones have been found. Suppose that 90% of all batteries have acceptable voltages. Let Y denote the number of batteries that must be tested. (a) What is p(2), that is, P(Y = 2)? (b) What is p(3)? [Hint: There are two different outcomes that result in Y = 3.] (c) To have...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT