Essentials of Modern Business Statistics with Microsoft Office Excel (Book Only)
7th Edition
ISBN: 9781337298353
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams
Publisher: South-Western College Pub
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An insurance company provides customers with both auto and home insurance policies. For a particular customer, Χ is the deduction on his or her auto policy and Y is the deduction on the home policy. Possible values of Χ are K100 and K250, and for Y are K0, K100 and K200. The joint probability density function for (Χ,Y ) is given by the following table:
X
Y
K100
K250
K0
0.20
0.05
K100
0.10
0.15
K200
0.20
0.30
Find the probability for a randomly selected policy holder having a K100 deduction on the auto insurance and a K200 deduction on the home insurance.
Find the probability that a randomly selected policy holder has a home deduction of at least K100.
Are the random variables Χ and Y independent? Explain your answer.
If we look only at those insurance customers selecting the lowest auto mobile insurance deduction (K100), what is the probability that a randomly selected…
Suppose that random variable X is uniformly distributed between 6 and 28. Draw a graph of the density function, and then use it to help find the following probabilities:
A. P (X > 28) =
B. P(X < 11.5) =
C. P(9 < X < 26) =
D. P(13 < X < 30) =
For each of the following probability density functions, compute P (μ - 2σ < X < μ+ 2σ).
f (x) = 6x (1 - x), 0 < x < 1, zero elsewhere.
f (x) = (1/2)X, x = 1, 2, 3, ..., zero elsewhere.
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- The conditional probability of E given that F occurs is P(EF)=___________. So in rolling a die the conditional probability of the event E, getting a six, given that the event F, getting an even number, has occurred is P(EF)=___________.arrow_forwardThe random variables X and Y have the following joint probability density function:f(x,y)={e−x−y , 0<x<∞; 0, elsewhere. What is Cov(X,Y)(X,Y)?arrow_forwardSketch the graph of the probability density function over the indicated interval and find the indicated probabilities. f(x)= (3/16 √x) [0,4] A)P(0<x<2)B)P(2<x<4)C)p(1<x<3)D)P(x≤3)arrow_forward
- For any continuous random variables X, Y , Z and any constants a, b, show the following from the definition of the covariance:arrow_forwardGiven that the probability density function of the continuous random variable X is given as follows, what is E (6X + 3X²) equal to? f(x)={ 2(1-x), 0<x<1 0, e.w a)15/18 b)5/2 c)1/18 d)1/3arrow_forwardLet x be a random variable with probability density function,f(x) = C (1- x^2), -1 < x < 1 and ‘0’ otherwise. a. Calculate C, F(x) and hence P ( -0.5 < x < 0.5), P (x = 0), and V (x)b. Sketch f(x) and F(x)arrow_forward
- Suppose that X and Y have a joint probability density function f(x,y)= 1, if0<y<1,y<x<2y; 0, otherwise. (a) Compute P(X + Y less than or equal 1). (b) Find the marginal probability density functions for X and Y , respectively. (c) Are X and Y independent?arrow_forwardFind the constant C such that p is a probability density function on the given interval and compute the probaility P(X< 2)arrow_forwardSuppose that the probability density function of x is fx=3x2, 0<x<1 0, elsewhere Determine p(x < (1/3)), p((1/3) ≤ x < (2/3)), and p(x ≥ (2/3)) Determine the cumulative distribution function of x.arrow_forward
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