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Each time Caroline goes shopping she decides whether or not to buy fruit.

The probability that she does buy fruit is 0.4.

Independently, she then decides whether or not to buy a CD, with a probability of 0.2 that she does buy a CD.

Work out the probability that she buys fruit or buys a CD or both.



Assuming you are to undertake a study involving any of these scenarios.

How will sample each scenario .

Put it into writing, use the first page to composition of the groups and the second to the sixth page for each of sample scenario discussions.


1. Effects of free SHS policy and double track.

2. Soil nutrients in a farm.

3. Crude protein content of a feed.

4.View of vigilante boys on voilence





Assume that the time a student stays in School is normally distributed with a mean of 5 hours and a standard deviation of 0.5 hours. Every day, Ian stays in School for 5.5 hours. What proportion of students stays less than 5.5 hours?
P(0<z<1.44)

if the random variable X and Y have the means μx=5 μy=10 the variances σ2x=16,σ2y=9 and ρ=0.3. Obtain the conditional probability distribution of Y given X=2


Let be the mean of a random sample of size n=15 from the distribution with mean μ=80 and variance σ²=60. use chebyshevs inequality to find a lower bound for (p<<20)


The probability density function of X is given by f(x)={ 6x(1-x) 0<x<1 0<y<1

{0 otherwise

find the pdf of Y=X3

Let X1 and X2 have the joint pmf p(x1,x2)=x1x2/36 ,x1=1,2,3 and x2=1,2,3, zero elsewhere.

Obtain the joint pmf of Y1=X1X2 and Y2=X2, and the marginal pmf of Y1.


Suppose X1 and X2 are random variables of the discrete type which have the joint pmf p(x1,x2)=(x1+2x2)/18, (x1,x2)=(1,1),(1,2),(2,1),(2,2), zero elsewhere. Determine the conditional mean and variance of X2,given X1=x1, for x1=1 or 2. Also ,compute E(3X1-2X2)


Given that X N(0,1) then show that the pdf of Y=X2 is "\\chi" 12

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