
Maths Probability
Let X and Y be independent random variables, each uniformly distributed on the interval [0,2]. Find the mean and variance of XY. E[XY]= 1 var[XY]= ??? Find the probability that XY≥1. Enter a numerical answer. P(XY≥1)= ???
asked by Anonymous on May 14, 2014 
Math Probability
Let X and Y be independent random variables, each uniformly distributed on the interval [0,2]. Find the mean and variance of XY. E[XY]= var[XY]= Find the probability that XY≥1. Enter a numerical answer. P(XY≥1)=
asked by xyz on May 20, 2014 
Probability
Let X,Y,Z be three independent (i.e. mutually independent) random variables, each uniformly distributed on the interval [0,1]. 1. Find the mean and variance of 1/(Z+1). E[1/(Z+1)]= var(1/(Z+1))= 2. Find the mean of XY/(Z+1). Hint: Use your answer to the
asked by Anonymous on December 20, 2018 
Probability
Let X and Y be independent random variables, each uniformly distributed on the interval [0,2]. Find the mean and variance of XY. E[XY]=  unanswered var[XY]=  unanswered Find the probability that XY≥1. Enter a numerical answer. P(XY≥1)= 
asked by qwerty on May 26, 2015 
Probability
Consider three random variables X, Y, and Z, associated with the same experiment. The random variable X is geometric with parameter p∈(0,1). If X is even, then Y and Z are equal to zero. If X is odd, (Y,Z) is uniformly distributed on the set
asked by qwerty on March 10, 2015 
Probability
Let N,X1,Y1,X2,Y2,… be independent random variables. The random variable N takes positive integer values and has mean a and variance r. The random variables Xi are independent and identically distributed with mean b and variance s, and the random
asked by qwerty on April 21, 2015 
Probability
Let N,X1,Y1,X2,Y2,… be independent random variables. The random variable N takes positive integer values and has mean a and variance r. The random variables Xi are independent and identically distributed with mean b and variance s, and the random
asked by A on April 20, 2014 
probability
Let N,X1,Y1,X2,Y2,… be independent random variables. The random variable N takes positive integer values and has mean a and variance r. The random variables Xi are independent and identically distributed with mean b and variance s, and the random
asked by juanpro on April 22, 2014 
probability
For each of the following sequences, determine the value to which it converges in probability. (a) Let X1,X2,… be independent continuous random variables, each uniformly distributed between −1 and 1. Let Ui=X1+X2+⋯+Xii,i=1,2,…. What value does the
asked by juanpro on April 22, 2014 
Probability
For each of the following sequences, determine the value to which it converges in probability. (a) Let X1,X2,… be independent continuous random variables, each uniformly distributed between −1 and 1. Let Ui=X1+X2+⋯+Xii,i=1,2,…. What value does the
asked by A on April 23, 2014 
probablity
In this problem, you may find it useful to recall the following fact about Poisson random variables. Let X and Y be two independent Poisson random variables, with means λ1 and λ2, respectively. Then, X+Y is a Poisson random variable with mean λ1+λ2.
asked by Anonymous on December 16, 2018 
statistics
Let X and Y be independent random variables, each uniformly distributed on the interval [0,1]. Let Z=max{X,Y}. Find the PDF of Z. Express your answer in terms of z using standard notation . For 0
asked by alec on April 1, 2015 
probability
Let X and Y be independent random variables, each uniformly distributed on the interval [0,1]. Let Z=max{X,Y}. Find the PDF of Z. Express your answer in terms of z using standard notation . For 0
asked by alec on April 1, 2015 
probability
Let X and Y be independent random variables, each uniformly distributed on the interval [0,1]. Let Z=max{X,Y}. Find the PDF of Z. Express your answer in terms of z using standard notation. For 0
asked by JuanPro on March 28, 2014 
statistics
Let X be the average of a sample of size 25 independent normal random variables with mean 0 and variance 1. P[[X
asked by zwesko on November 23, 2011 
math
let two stochastically independent random variables y1 and y2 with the distribution b(n1,p1) and b(n2,p2) respectively,how find a confidence interval for p1p2 ?
asked by assma on February 23, 2015 
probability
Consider an image, in which every pixel takes a value of 1, with probability q, and a value 0, with probability 1−q, where q is the realized value of a random variable Q which is distributed uniformly over the interval [0,1]. The realized value q is the
asked by Alison on November 16, 2018 
Statistics and Probability
Let N be a random variable with mean E[N]=m, and Var(N)=v; let A1, A2,… be a sequence of i.i.d random variables, all independent of N, with mean 1 and variance 1; let B1,B2,… be another sequence of i.i.d. random variables, all independent of N and of
asked by Anonymous on November 5, 2018 
Probability
In the following problem, please select the correct answer. Let X be a nonnegative random variable. Then, for any a>0, the Markov inequality takes the form P(X≥a)≤(a^c)E[X^5]. What is the value of c? c= unanswered Suppose that X_1,X_2,⋯ are random
asked by AnonStar on March 16, 2018 
probablity
Let X and Y be two independent Poisson random variables, with means λ1 and λ2, respectively. Then, X+Y is a Poisson random variable with mean λ1+λ2. Arguing in a similar way, a Poisson random variable X with parameter t, where t is a positive integer,
asked by Anonymous on December 23, 2018 
math
let two stochastically independent random variables y1 and y2 with the distribution b(100,p1) and b(100,p2) respectively,y1=50 and y2=40 ,find 90% a confidence interval for p1p2 ?
asked by assma on February 23, 2015 
Statistics
In a population, heights of males are normally distributed with u=180 cm and sigma^2=16 cm^2, while the heights of females are normally distributed with u=170 cm and sigma^2= 25 cm^2. a) One random male and one random female are selected from the
asked by William on November 9, 2014 
Probability
The random variables X1,..,Xn are independent Poisson random variables with a common parameter Lambda . Find the maximum likelihood estimate of Lambda based on observed values x1,...,xn.
asked by qwerty on April 21, 2014 
Probability
The random variable X is uniformly distributed over the interval [θ,2θ]. The parameter θ is unknown and is modeled as the value of a continuous random variable Θ, uniformly distributed between zero and one. Given an observation x of X, find the
asked by A on April 3, 2014 
Probability
Let U, V, and W be independent standard normal random variables (that is, independent normal random variables, each with mean 0 and variance 1), and let X=3U+4V and Y=U+W. Give a numerical answer for each part below. You may want to refer to the standard
asked by A on April 20, 2014 
Probability
For each of the following statements, determine whether it is true (meaning, always true) or false (meaning, not always true). Here, we assume all random variables are discrete, and that all expectations are welldefined and finite. Let X and Y be two
asked by qwerty on March 4, 2014 
probability
This figure below describes the joint PDF of the random variables X and Y. These random variables take values in [0,2] and [0,1], respectively. At x=1, the value of the joint PDF is 1/2. (figure belongs to "the science of uncertainty) 1. Are X and Y
asked by RVE on February 28, 2015 
Probability
Let U, V, and W be independent standard normal random variables (that is, independent normal random variables, each with mean 0 and variance 1), and let X=3U+4V and Y=U+W. Give a numerical answer for each part below. You may want to refer to the standard
asked by qwerty on April 21, 2015 
probability theory
Let X, Y, Z, be independent discrete random variables. Let A= X(Y+Z) and B= XY With A, B, X, defined as before, determine wheter the folllowing statements are true or false. 1. A and B are independent 2. A and B are conditionally independent, given X = 0.
asked by P on October 7, 2018 
math
Let X and Y be two independent, exponentially distributed random variables with parameters ,lambda and mu, respectively. 1.Find P(X
asked by Moreg on November 19, 2018 
Probability
The joint PMF, pX,Y(x,y), of the random variables X and Y is given by the following table: (see: the science of uncertainty) 1. Find the value of the constant c. c = 0.03571428571428571428 2. Find pX(1). pX(1)= 1/2 3. Consider the random variable Z=X2Y3.
asked by RVE on February 25, 2015 
Probability
Suppose that we have three engines, which we turn on at time 0. Each engine will eventually fail, and we model each engine's lifetime as exponentially distributed with parameter λ. The lifetimes of different engines are independent. One of the engines
asked by Anonymous on December 3, 2018 
maths : probability
We are given a biased coin, where the probability of Heads is q. The bias q is itself the realization of a random variable Q which is uniformly distributed on the interval [0,1]. We want to estimate the bias of this coin. We flip it 5 times, and define the
asked by Anonymous on December 18, 2018 
probability
t the discrete random variable X be uniform on {0,1,2} and let the discrete random variable Y be uniform on {3,4}. Assume that X and Y are independent. Find the PMF of X+Y using convolution. Determine the values of the constants a, b, c, and d that appear
asked by JuanPro on March 28, 2014 
Probability
This figure below describes the joint PDF of the random variables X and Y. These random variables take values in [0,2] and [0,1], respectively. At x=1, the value of the joint PDF is 1/2. Are X and Y independent?  unanswered Yes No Find fX(x). Express your
asked by ubn on March 18, 2015 
Statistics
A simple random sample of cars in a city was categorized according to fuel type and place of manufacture. domestic foreign gasoline 146 191 diesel 18 26 hybrid 51 79 Are place of manufacture and fuel type independent? If the two variables were independent,
asked by Me on August 17, 2013 
probability
When you enter the bank, you find that there are only two tellers, both busy serving other customers, and that there are no other customers in queue. Assume that the service times for you and for each of the customers being served are independent
asked by Chris on November 27, 2018 
probablity
We are given a biased coin , where the probability of heads is q. he bias q is itself the realization of a random variable Q which is uniformly distributed on the interval [0,1]. We want to estimate the bias of the coin. We flip it 5 times, and define
asked by Anonymous on December 23, 2018 
Probability
Consider three random variables X, Y, and Z, associated with the same experiment. The random variable X is geometric with parameter p∈(0,1). If X is even, then Y and Z are equal to zero. If X is odd, (Y,Z) is uniformly distributed on the set
asked by qwerty on March 7, 2015 
Probability
Terminology: A circle of radius r is a curve that consists of all points at distance r from the center of the circle. A disk of radius r is the set of all points whose distance from its center is less than or equal to r . Thus, a circle is the boundary of
asked by No One on November 18, 2018 
Probability
Let N be a geometric r.v. with mean 1/p; let A1,A2,… be a sequence of i.i.d. random variables, all independent of N, with mean 1 and variance 1; let B1,B2,… be another sequence of i.i.d. random variable, all independent of N and of A1,A2,…, also with
asked by A on April 3, 2014 
communication
X and Y are discrete jointly distributed discrete valued random variables. The relation between their joint entropy H(X,Y) and their individual entropies H(X),H(Y) is H(X,Y)≤H(X)+H(Y), equality holds when X,Y are independent H(X,Y)≤H(X)+H(Y), equality
asked by digital communication on August 8, 2018 
Maths: Probability Distrubution
Consider an arrival process whose interarrival times are independent exponential random variables with mean 2 (and consequently variance equal to 4), and consider the inter arrival interval IS seen by an observer who arrives at a fixed time t*, What is the
asked by Fin on December 3, 2018 
probability
Consider an arrival process whose interarrival times are independent exponential random variables with mean 2 (and consequently variance equal to 4), and consider the interarrival interval S seen by an observer who arrives at a fixed time t∗, as in the
asked by David on November 27, 2018 
statistics
the random variable x is known to be uniformly distributed between 70 and 90. the probability of x having a value between 80 to 95 is
asked by Anonymous on December 6, 2011 
Statisitcs
Suppose that X and Y are independent discrete random variables and each assumes the values 0,1, and 2 with probability of 1/3 each. Find the frequency function of X+Y.
asked by Jade on October 30, 2010 
math(Quantitative) ...Pls help me
Linear regression analysis is based on identifying independent variables and gathering historical data for these variables.Name 2 independent variables to forecast these dependent variables: (a)Demand for hospital Services. (b)Students entering Legon
asked by Bravo on October 9, 2016 
probability
When you enter your bank, you find that there are only two tellers, both busy serving other customers, and that there are no other customers in line. Assume that the service times for you and for each of the customers being served are independent
asked by Brian on November 26, 2018 
probablity
Let be independent discrete random variables with E[X]=2, E[Y]=0, E[Z]=0, E[X^2]=20, E[Y^2]=E[Y^2]=16, and Var(X)=Var(Y)=Var(Z)= 16. Let A=X(Y+Z) and B=XY. 1.Find E[B]. 2.Find Var(B). 3.Find E[AB]. 4. are A and B independent? 5.Are A and B are
asked by Divine on October 6, 2018 
probablity
Let X,Y,Z be independent discrete random variables with E[X]=2, E[Y]=0, E[Z]=0, E[X^2]=20, E[Y^2]=E[Y^2]=16, and Var(X)=Var(Y)=Var(Z)= 16. Let A=X(Y+Z) and B=XY. 1.Find E[B]. 2.Find Var(B). 3.Find E[AB]. 4. are A and B independent? 5.Are A and B are
asked by Anonymous on October 6, 2018 
probability and statistics
Let Θ1, Θ2, W1, and W2 be independent standard normal random variables. We obtain two observations, X1=Θ1+W1,X2=Θ1+Θ2+W2. Find the MAP estimate θ^=(θ^1,θ^2) of (Θ1,Θ2) if we observe that X1=1, X2=3. (You will have to solve a system of two linear
asked by AAA on April 1, 2017 
statistics
Question 6: A manufacturer knows that the number of items produced per hour by its two factories A and B is normally distributed with standard deviations 8.0 and 11.0 items respectively. The mean hourly amount produced by Firm A from a random sample of 50
asked by molebogeng on April 12, 2012 
stats
suppose that the wait time at the bank is uniformly distributed in the interval 4min8min find the probability that a randomly selected customer has to wait longer than 6.5 minutes
asked by zuly on April 29, 2012 
applied math
A boat is located at a random location uniformly distributed inside of the circular pool of radius 1 mile. The boat is tied by a rope to a pole located directly at the center of the pool. A bird lands on the rope at the uniformly random location. If X is
asked by hsuan on May 3, 2013 
math prob
A boat is located at a random location uniformly distributed inside of the circular pool of radius 1 mile. The boat is tied by a rope to a pole located directly at the center of the pool. A bird lands on the rope at the uniformly random location. If X is
asked by hsuan on May 4, 2013 
Statistics and Probability
We have k coins. The probability of Heads is the same for each coin and is the realized value q of a random variable Q that is uniformly distributed on [0,1]. We assume that conditioned on Q=q, all coin tosses are independent. Let Ti be the number of
asked by Anonymous on November 5, 2018 
Math
6. Biased coin Bookmark this page Problem 5. Biased coin 5.0 points possible (graded, results hidden) We are given a biased coin, where the probability of Heads is q. The bias q is itself the realization of a random variable Q which is uniformly
asked by YuLin on December 18, 2018 
math221
consider situations in your work or home that could be addressed through a continuous probability distribution. Describe the situation and the variables, and determine whether the variables are normally distributed or not. How could you change these to a
asked by Faithee on October 4, 2015 
science
Writing variables and hypothesses What about them? i don't even understand them and i have to make up 4 variables and hypothesses about independent and dependent variables i don't even understand them and i have to make up 4 variables and hypothesses about
asked by Farah on September 18, 2006 
probability
A fair coin is flipped independently until the first Heads is observed. Let K be the number of Tails observed before the first Heads (note that K is a random variable). For k=0,1,2,…,K, let Xk be a continuous random variable that is uniform over the
asked by JuanPro on March 28, 2014 
statistics
Is Independent variable Depression categorical nominal or ordinal or continuous variables (interval or ratio) Answer: ordinal Is Independent variable College Life(academic and social) nominal or ordinal or continuous variables (interval or ratio)? Answer:
asked by Petra on November 25, 2017 
Maths
Approximate the probability that the sum of the 16 independent uniform (0,1) random variables exceeds 10.
asked by Nithi on August 19, 2014 
Maths
Approximate the probability that the sum of the 16 independent uniform (0,1) random variables exceeds 10.
asked by Chit on August 20, 2014 
statistics
Let X be the average of a sample of 16 independent normal random variables with mean 0 and variance 1. Determine c such that P (X< c) = .5
asked by Anonymous on March 9, 2011 
Math
Random variables X and Y are both normally distributed with mean 100 and standard deviation 4. It is known that random variable X+Y is also a normal distribution. a. What is the mean of X+Y? b. What is the standard deviation of X+Y? I see that the mean is
asked by Rob on November 15, 2011 
Probability
Let Θ be a Bernoulli random variable that indicates which one of two hypotheses is true, and let P(Θ=1)=p. Under the hypothesis Θ=0, the random variable X is uniformly distributed over the interval [0,1]. Under the alternative hypothesis Θ=1, the PDF
asked by A on April 2, 2014 
Stats
In each of the four examples listed below, one of the given variables is independent (x) and one of the given variables is dependent (y). Indicate in each case which variable is independent and which variable is dependent. I. Rainfall; Crop yield II. Taxi
asked by Jen on October 19, 2011 
probability
As in the previous exercise, let È be the bias of a coin, i.e., the probability of Heads at each toss. We assume that È is uniformly distributed on [0,1]. Let K be the number of Heads in 9 independent tosses. We have seen that the LMS estimate of K is
asked by alec on April 14, 2015 
probability
Let È be the bias of a coin, i.e., the probability of Heads at each toss. We assume that È is uniformly distributed on [0,1]. Let K be the number of Heads in 9 independent tosses. By performing some fancy and very precise measurements on the structure of
asked by alec on April 14, 2015 
statistics
Let U, V be random numbers chosen independently from the interval [0; 1] with uniform distribution. Find the cumulative distribution and density of each of the variables (a) Y = U + V. (b) Y = Absolute value of (U  V).
asked by oriana on March 23, 2012 
physics
Consider an infinitely long solid metallic cylinder having axis along kˆ . Consider a plane passing through axis of cylinder cutting it in two equal parts. In one part is a uniformly distributed current I1kˆ and in another part is a uniformly distributed
asked by brmba on December 26, 2013 
Maths Probability
Let θ be an unknown constant. Let W1,…,Wn be independent exponential random variables each with parameter 1. Let Xi=θ+Wi. What is the maximum likelihood estimate of θ based on a single observation X1=x1? Enter your answer in terms of x1 (enter as
asked by xyz on May 20, 2014 
science
what should you ask yourself when looking for an independent variable in an experiment? I would ask whether that variable can be manipulated or not. Here is more info on experimental variables that might be helpful. An independent variable is the potential
asked by jasmine on March 29, 2007 
prob
Consider the triangle with vertices (0; 0), (1; 0) and (0; 1). Let Z be a uniform random variable in the interval [0; 1]. Draw a vertical line that intersects the x axis at Z. This line divides the triangle in two pieces. Select a point (X; Y ) uniformly
asked by hsuan on May 3, 2013 
Probability
Let θ be an unknown constant. Let W1,…,Wn be independent exponential random variables each with parameter 1. Let Xi=θ+Wi. What is the maximum likelihood estimate of θ based on a single observation X1=x1? Enter your answer in terms of x1 (enter as x_1)
asked by Fire on May 25, 2015 
math
A fair coin is flipped independently until the first Heads is observed. Let the random variable K be the number of tosses until the first Heads is observed plus 1. For example, if we see TTTHTH, then K= 5. For k = 1,2,...,K, let Xk be a continuous random
asked by Var on October 15, 2018 
Probability
Random variables X and Y are distributed according to the joint PDF fX,Y(x,y) = {ax,0,if 1≤x≤2 and 0≤y≤x,otherwise.} 1. Find the constant a. 2. Determine the marginal PDF fY(y). (Your answer can be either numerical or algebraic functions of y). For
asked by qwerty on March 18, 2014 
probability
Random variables X and Y are distributed according to the joint PDF fX,Y(x,y) = {ax,0,if 1≤x≤2 and 0≤y≤x,otherwise. 1 Find the constant a. a= 2 Determine the marginal PDF fY(y). (Your answer can be either numerical or algebraic functions of y). For
asked by JuanPro on March 11, 2014 
Statistics
I neep help on two questions! A condition that occurs in multiple regression analysis if the independent variables are themselves correlated is known as: 1. autocorrelation 2. stepwise regression 3. multicorrelation 4. multicollinearity (I think this is
asked by Debra on September 14, 2008 
Physics
Charge +Q = +7.10 nC is uniformly distributed along the right half of a thin rod bent into a semicirle of radius R = 3.60 cm, while charge −Q = −7.10 nC is uniformly distributed along the left half of the rod. What is the magnitude and direction of the
asked by Gordon on January 24, 2017 
Probability
Let θ be an unknown constant. Let W1,…,Wn be independent exponential random variables each with parameter 1. Let Xi=θ+Wi. What is the maximum likelihood estimate of θ based on a single observation X1=x1? Enter your answer in terms of x1 (enter as x_1)
asked by qwerty on May 26, 2015 
math
It is known that the number of people who enter a bank during a time interval of t minutes is a Poisson random variable with the parameter t. The bank opens at 8am and you arrive at the bank at uniformly random time between 8am and 9am. Let X be the
asked by hsuan on May 3, 2013 
math
It is known that the number of people who enter a bank during a time interval of t minutes is a Poisson random variable with the parameter t. The bank opens at 8am and you arrive at the bank at uniformly random time between 8am and 9am. Let X be the
asked by hao on May 3, 2013 
math prob
It is known that the number of people who enter a bank during a time interval of t minutes is a Poisson random variable with the parameter t. The bank opens at 8am and you arrive at the bank at uniformly random time between 8am and 9am. Let X be the
asked by hsuan on May 4, 2013 
STATISTICS
A random sample of stock prices per share (in dollars) is shown. Find the 90% confidence interval for the variance and standard deviation for the prices. Assume the variable is normally distributed.
asked by Paula on April 19, 2013 
communication
The probability density function p(x) which maximizes the differential entropy h(X), such that the corresponding signal satisfies the constraints x(t)≥0 and x(t)2¯=S, 22πS√e−x22Su(x) 12πS√e−x22S 1Se−xSu(x) Uniformly distributed in the
asked by digital communication on August 8, 2018 
probability
Let X and Y be independent Erlang random variables with common parameter λ and of order m and n, respectively. Is the random variable X+Y Erlang? If yes, enter below its order in terms of m and n using standard notation. If not, enter 0.
asked by Brian on November 26, 2018 
probability
et X and Y be independent Erlang random variables with common parameter λ and of order m and n, respectively. Is the random variable X+Y Erlang? If yes, enter below its order in terms of m and n using standard notation. If not, enter 0.
asked by David on November 27, 2018 
Stats
6. In each of the four examples listed below, one of the given variables is independent (x) and one of the given variables is dependent (y). Indicate in each case which variable is independent and which variable is dependent. I. Rainfall; Crop yield II.
asked by Jen on October 18, 2011 
stat
7. A researcher selects a random sample. A 90% confidence interval for a population mean A) is an interval with margin of error ± 90%. B) has the property that if we repeatedly selected our random sample in exactly the same way, each time constructing
asked by Anonymous on December 5, 2010 
STATISTICS
1. What if the size for each sample were increased to 20? Would a sample mean of 115 or more be considered unusual? Why or why not? 2. Why is the Central Limit Theorem used? 3. Consider situations in your work or home that could be addressed through a
asked by B on February 2, 2012 
Probability
An image , corrupted with noise, has pixels which take the value 1 with probability q and 0 with probability 1−q, with q being the value of a random variable Q which is uniformly on [0,1]. Xi is the value of pixel i, but we observe Yi=Xi+N for each
asked by organicCoco on November 15, 2018 
Structures/Engineering
Design for flexure a simple beam 14 ft in length and having a total uniformly distributed dead load of 13.2 kips and a total uniformly distributed live load of 26.4 kips.
asked by Dib on February 16, 2017 
statistic
the academic staff of a large university are provided with a PC each. it is known that after a number of years the PC need to be upgraded. The time interval before upgrading of the PC is distributed normally with a mean of 24 months and a standard
asked by pusaran on May 19, 2012 
Probability
Question:A fair coin is flipped independently until the first Heads is observed. Let the random variable K be the number of tosses until the first Heads is observed plus 1. For example, if we see TTTHTH, then K=5. For K=1,2,3...K, let Xk be a continuous
asked by Zozina on October 27, 2018 
Stats
the final grade averages from a fictional graduate statistics class are uniformly distributed between 66 and 96. what is the probability that a student selected at random will have a final average of between 90 and 100?
asked by John on February 28, 2011 
statistics
Suppose we take a random sample of size n from a normal population with variance, σ2 . It can be shown that (n−1)s2/σ2 has a chisquare distribution with n−1 degrees of freedom, where s is the sample variance. Below is a random sample of size 8 drawn
asked by sandy on March 18, 2013 
Experiment
The question is how do I design a basic experiment that would allow us to establish a causeeffect relationship between number of hours worked per week and lower college graduation rates? It must have these components: a manupulated independent variable, a
asked by Ann on June 14, 2011 
statistics
A researcher finds that two continuous, random variables of interest, X and Y, have a joint probability density function (pdf) given by: f(x,y)={cxy 0
asked by sana on November 13, 2014 
statistics
A researcher finds that two continuous, random variables of interest, X and Y, have a joint probability density function (pdf) given by: f(x,y)={cxy 0
asked by lee on November 13, 2014
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