Wednesday

November 25, 2015
Number of results: 35,157

**Math**

What is the probability that the random variable has a value between 0.1 and 0.5? The random variable is .125.
*March 7, 2010 by Lyndse*

**Probability**

Suppose a random variable X has a cumulative distribution function given by F(a) = {0 for a<0, 1/2 for 0<=a<1, 3/5 for 1<=a<2, 4/5 for 2<=a<3, 9/10 for 3<=a<3.5, 1 for 3.5<=a. a. Find the probability mass function for X. b. Find the probability ...
*January 21, 2009 by Julie*

**Probability**

Suppose a random variable X has a cumulative distribution function given by F(a) = {0 for a<0, 1/2 for 0<=a<1, 3/5 for 1<=a<2, 4/5 for 2<=a<3, 9/10 for 3<=a<3.5, 1 for 3.5<=a. a. Find the probability mass function for X. b. Find the probability ...
*January 21, 2009 by Julie*

**probability**

A random experiment of tossing a die twice is performed. Random variable X on this sample space is defined to be the sum of two numbers turning up on the toss. Find the discrete probability distribution for the random variable X and compute the corresponding mean and standard ...
*October 11, 2011 by padma.c*

**Statistics/probability**

The random variable X has a binomial distribution with the probability of a success being 0.2 and the number of independent trials is 15. The random variable xbar is the mean of a random sample of 100 values of X. Find P(xbar<3.15).
*July 10, 2014 by Heidi Joy*

**Math**

Suppose you have binomial trials for which the probability of success on each trial is p and the probability of failure is q= 1-p. Let k be a fixed whole number greater than or equal to 1. Let n be the number of the trial on which the kth success occurs. This means that the ...
*May 22, 2012 by Chad*

**Math**

Expand Your Knowledge: Negative Binomial Distribution Suppose you have binomial trials for which the probability of success on each trial is p and the probability of failure is q= 1-p. Let k be a fixed whole number greater than or equal to 1. Let n be the number of the trial ...
*May 21, 2012 by Billy*

**1333 math **

Probability Scores 0.2 0 0.2 2 0.05 4 0.45 7 0.1 9 Find the variance of the above random variable random variable.
*October 4, 2014 by Stephanie*

**Math**

Suppose a baseball player had 211 hits in a season. In the given probability distribution, the random variable X represents the number of hits the player obtained in the game. x P(x) 0 0.1879 1 0.4106 2 0.2157 3 0.1174 4 0.0624 5 0.0060 a.) Compute and interpret the mean of ...
*November 26, 2013 by Amanda*

**Probability**

Let X be a random variable that takes non-zero values in [1,∞), with a PDF of the form fX(x)=⎧⎩⎨cx3 if x≥1, 0,otherwise. Let U be a uniform random variable on [0,2]. Assume that X and U are independent. What is the value of the constant c? c= P(X...
*April 20, 2014 by A*

**math**

a fair coin is flipped 5 times the random variable is x is defined to be the number of heads that are observed identify the probability mass function of the random variable x. x P(x)
*October 3, 2012 by virginia*

**Statistics**

x is a random variable with the probability function: f(X) = x/6 for x = 1, 2 or 3 the expected value of X is?
*October 8, 2009 by Shellie*

**Statistics and Probability**

Suppose you took 1000 random samples of size 200 from the Poisson distribution with u = 5 and computed a 90% confidence interval for each sample. Approximate the probability that at least 920 of these intervals would contain the mean value u = 5. Be sure to define any random ...
*March 26, 2011 by Adam HELP PLEASEEE*

**Statistics and Probability**

Suppose you took 1000 random samples of size 200 from the Poisson distribution with u = 5 and computed a 90% confidence interval for each sample. Approximate the probability that at least 920 of these intervals would contain the mean value u = 5. Be sure to define any random ...
*March 27, 2011 by Adam *

**Probability**

Let X be a random variable that takes non-zero values in [1,∞), with a PDF of the form fX(x)=⎧⎩⎨cx3,0,if x≥1,otherwise. Let U be a uniform random variable on [0,2]. Assume that X and U are independent. What is the value of the constant c? c= - ...
*April 21, 2015 by qwerty*

**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 interval [0,3]. The Xk's ...
*March 28, 2014 by JuanPro*

**statistics**

two dices are tossed once. let the random variable be t he sum of the up faces on the dice. A). find and graph the probability distribution of the random variable. and b) calculate the mean (or expectation) of this distribution
*May 22, 2011 by sharik*

**arithmetic**

Assume you roll a fair dice twice. Two rolls are independent and identically distributed, with probability of rolling a particular number being 1/6. So, for instance, the probability of rolling 5 and then 2 is P(5,2) = P(5) ⋅ P(2) = 1/6 ⋅ 1/6 = 1/36 Consider a ...
*June 1, 2013 by Anonymous*

**math**

let the random variable x denote the number of girls in a five-child family. if the probability of a female birth is .5 find the probability of 0,1,2,3,4, and 5 girls in a five-child family. construct the binomial distribution and draw the histogram associated with the ...
*April 23, 2009 by miranda*

**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 sequence Ui ...
*April 22, 2014 by juanpro*

**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 sequence Ui ...
*April 23, 2014 by A*

**statistics**

In a certain region, the mean annual salary for plumbers is $51,000. Let x be a random variable that represents a plumber's salary. Assume the standard deviation is $1300. If a random sample of 100 plumbers is selected, what is the probability that the sample mean is greater ...
*February 25, 2013 by katie*

**math 115**

Let x be a continuous random variable that follows a normal distribution with a mean of 200 and a standard deviation 25. Find the value of x so that the area under the normal curve between ì and x is approximately 0.4798 and the value of x is greater than ì.
*November 19, 2013 by louise*

**Economics/Math**

1. Assume that q and z are two random variables that are perfectly positively correlated. q takes the value of 20 with probability 0.5 and the value of zero with probability 0.5, while z takes the value of 10 with probability 0.5 and the value of zero with probability 0.5. ...
*December 5, 2009 by Susan*

**Probability**

7. The random variable X is distributed normally with a mean of 12.46 and variance of 13.11. You collect a random sample of size 37. a. What is the probability that your sample mean is between 12 and 13? b. What is the probability that a single observation is between 12 and 13...
*October 27, 2013 by John*

**random variable**

A communication channel accepts the input X ?{0,1, 2,3} and outputs Y=X+Z whereZ is a binary random variable taking values -1 and +1 with equal probability. AssumeX and Z are independent and all values of the input X have equal probability.a) Find the entropy of Y.b) Find the ...
*January 25, 2015 by Shanu*

**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 well-defined and finite. Let X and Y be two binomial random variables...
*March 4, 2014 by qwerty*

**statistics**

Let x be a continuous random variable that is normally distributed with a mean of 65 and a standard deviation of 15. Find the probability that x assumes a value less than 44.
*April 18, 2011 by Katie*

**statistics**

Let x be a continuous random variable that is normally distributed with a mean of 65 and a standard deviation of 15. Find the probability that x assumes a value less than 45.
*April 18, 2011 by Katie*

**statistics**

Let x be a continuous random variable that is normally distributed with a mean of 65 and a standard deviation of 15. Find the probability that x assumes a value less than 44.
*October 31, 2012 by Anonymous*

**Economics/Statistics**

1. Assume that q and z are two random variables that are perfectly positively correlated. q takes the value of 20 with probability 0.5 and the value of zero with probability 0.5, while z takes the value of 10 with probability 0.5 and the value of zero with probability 0.5. ...
*December 6, 2009 by Susan*

**Probability**

Let A,B,C be three events and let X=IA, Y=IB, Z=IC be the associated indicator random variables. We already know that X⋅Y is the indicator random variable of the event A∩B. In the same spirit, give an algebraic expression, involving X, Y, Z for the indicator random...
*March 7, 2015 by qwerty*

**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
*December 6, 2011 by Anonymous*

**Statistics**

1. The sociologist surveyed the households in a small town. The random variable X represents the number of dependent children in the households. The following is the probability distribution of X: X 0 1 2 3 4 P(X) 0.07 0.20 0.38 k 0.13 (a) Find the missing probability value of...
*June 1, 2011 by LadyJustice85*

**STATISTICS**

Consider a binomial random variable where the number of trials is 12 and the probability of success on each trial is 0.25. Find the mean and standard deviation of this random variable. I have a mean of 4 and a standard deviation of 2.25 is this correct
*June 10, 2010 by John*

**stats**

Consider an infinite population with 25% of the elements having the value 1, 25% the value 2, 25% the value 3, and 25% the value 4. If X is the value of a randomly selected item, then X is a discrete random variable whose possible values are 1, 2, 3, and 4. (a) Find the ...
*November 5, 2008 by Mischa*

**Data Management**

A random variable X is defined as the number of heads observed when a coin is tossed 4 times. Make a chart that shows the probability distribution for X. What is the expected value?
*January 21, 2014 by Alejandro*

**Math**

Which is always a correct conclusion about the quantities in the function y=x+4 A. THe variable x is always 4 more than y B. When the value of x is negative the value of y is also negative C.The variable y is always greater than x D.As the value of x increases the value of y ...
*October 13, 2014 by M*

**Maths**

1)A two-figure number is written down at random. Find the probability that a)the number is greater than 44 b)the number is less than 100 2)A letter is picked at random from the english alphabet. Find the probability that a)the letter is a vowel (my answer=5/26) b)the letter ...
*January 28, 2008 by Anonymous*

**statistics**

A random variable may assume any value between 10 and 50 with equal likelihoods. (Uniform distribution) Determine the following values for this probability distribution: a) b) c) f(x) = d) P(x < 25) e) P(x > 15) f) P( 12 < x < 30)
*October 23, 2010 by Anonymous*

**probability**

Determine whether each of the following statement is true (i.e., always true) or false (i.e., not always true). 1. Let X be a random variable that takes values between 0 and c only, for some c≥0, so that P(0≤X≤c)=1. Then, var(X)≤c2/4. TRUE 2. X and Y ...
*February 28, 2015 by RVE*

**Math/Probability**

The random variable X has a log-normal distribution, when the mean of ln(X) = 5.45 and variance of ln(X) = 0.334, what is the probability that X >139.76?
*October 27, 2013 by Sam*

**statistics**

Consider a normal distribution with mean 20 and standard deviation 3. What is the probability a value selected at random from this distribution is greater than 20?
*May 12, 2013 by erin*

**6TH GRADE MATH**

The value of the dependent variable in a function is always __________ the value of the independent variable. 1.GREATER THAN 2.DEPENDENT ON 3.LESS THAN 4.EQUAL TO
*March 3, 2015 by ASSAAPPP*

**math,correction**

Find expected value for the random variable. its suppost to be a table 6 X 2 i used the .... to represent separation z.....3......6.....9.....12.......15 p(z)..0.14..0.29..0.36..0.11...0.10 So what i did is i said e(x) = 3 (0.14)+ 6(0.29)+ etc to all the rest. and my result ...
*July 13, 2007 by student*

**Statistics-Probability**

Consider a binomial random variable X with parameters(4,1/2). Find the conditional probability mass function of X given that X is odd
*January 25, 2012 by sand*

**Probability and statistics**

8. A random variable X takes exactly the 5 values 1, 2,3,4,5, all with same probability. The mean of X is Choose one answer a. 2.5 b. 15 c. 7.5 d. 3
*March 2, 2012 by Arun*

**Statistics**

Daily water intake (including water used in drinks such as coffee, tea and juice) for Canadian adults follows a normal distribution with mean 1.86 litres and standard deviation 0.29 litres. (a) Can you calculate the probability that the mean daily water intake for a random ...
*November 4, 2014 by Mel*

**math**

A person’s blood glucose level and diabetesare closely related. Let x be a random variable measured in milligrams of glucose per deciliter (1/10 of a liter) of blood. After a 12-hour fast, the random variable x will have a distribution that is approximately normal with mean &#...
*November 29, 2010 by Kris*

**Finite**

Assume that the box contains balls numbered from 1 through 28, and that 3 are selected. A random variable X is defined as 1 times the number of odd balls selected, plus 2 times the number of even. How many different values are possible for the random variable X? I know that is...
*October 8, 2012 by Sam*

**statistics**

Women’s heights are normally distributed with a mean of 162 cm and standard deviation of 16 cm. a. Define an random variable, X, and describe its full distribution including the mean and variance. b. What percentage of heights are greater than 180 cm ? c. What height is at the...
*December 4, 2011 by Jasmine*

**math**

The value of the independent variable in a function is always __?__ the value of the independent variable A greater than B dependent on C equal to D less than
*April 15, 2015 by Book-worm_girl*

**Math**

On the leeward side of the island of Oahu, in the small village of Nanakuli, about 80% of the residents are of Hawaiian ancestry. Let n = 1,2,3.... represent the number of people you must meet until you encounter the first person of Hawaiian ancestry in the village of ...
*May 21, 2012 by Billy*

**Math**

On the leeward side of the island of Oahu, in the small village of Nanakuli, about 80% of the residents are of Hawaiian ancestry. Let n = 1,2,3.... represent the number of people you must meet until you encounter the first person of Hawaiian ancestry in the village of ...
*May 22, 2012 by Chad*

**ap stats need help**

Continuous Random Variable, I Let X be a random number between 0 and 1 produced by the idealized uniform random number generator described. Find the following probabilities: a.P(0¡ÜX¡Ü0.4) b.P(0.4¡ÜX¡Ü1) c.P(0.3¡ÜX0.5) d.P(0.3(<X<0.5) e.P(0.226¡ÜX¡Ü0.713) f.What ...
*March 10, 2009 by chris*

**probability**

The PDF of exp(X) Let X be a random variable with PDF f_X. Find the PDF of the random variable Y=e^X for each of the following cases: For general f_X, when y>0, f_Y(y)= f_X(ln y) --------- y When f_X(x) = {1/3,0,if −2<x≤1,otherwise, we have f_Y(y) = {g(y),0,...
*March 26, 2015 by RVE*

**statistics**

Let x and y be the amounts of time (in minutes) that a particular commuter must wait for a train on two independently selected days. Define a new random variable w by w = x + y, the sum of the two waiting times. The set of possible values for w is the interval from 0 to 2a (...
*June 10, 2013 by Jade*

**math 3**

A bag contains 4 yellow, 2 red, and 6 green marbles. Two marbles are drawn. The first is replaced before the second is drawn. A random variable assigns the number of red marbles to each outcome. Calculate the expected value of the random variable
*February 11, 2014 by Jamar*

**statistics**

Suppose that a random variable Y has a probability density function given by f(y) = ( ky 3 e y=2 ; y > 0 0; elsewhere: Find the value of k that makes f(y) a density function.
*April 16, 2012 by Anonymous*

**Elementary statistics **

Nine apples, four of which are rotten, are in a refrigerator. Three apples are randomly selected without replacement. Let the random variable x represent the number chosen that are rotten. Construct a table describing the probability distribution, then find the mean and ...
*February 29, 2012 by Rose Bud*

**statistics**

Consider a normal distribution with mean 30 and standard deviation 6. What is the probability a value selected at random from this distribution is greater than 30? (Round your answer to two decimal places.)
*October 22, 2010 by Anonymous*

**maths probability**

The lifetime X of a bulb is a random variable with the probability density function: f(x)=6[0.25-(x-1.5)^2] when 1<=x<=2 0 otherwise X is measured in multiples of 1000 hrs. What is the probability that none of the three bulbs in a traffic signal have to be replaced in ...
*January 27, 2014 by rupesh painkra*

**Statistics**

1. In thinking about doing statistical analysis, the sample mean should be interpreted as: A.)a constant value that is equal to the population mean. B.) a constant value that is approximately equal to the population mean. C.) a random variable that is approximately equal to ...
*May 3, 2011 by Sara*

**statistics**

Let x be a continuous random variable that is normally distributed with a mean of 24 and a standard deviation of 7. Find the probability that x assumes a value between 27.5 and 59.0. Use Table IV in Appendix C to compute the probabilities. Round your answer to four decimal ...
*April 18, 2011 by Katie*

**Statistics**

Let x and y be the amounts of time (in minutes) that a particular commuter must wait for a train on two independently selected days. Define a new random variable w by w = x + y, the sum of the two waiting times. The set of possible values for w is the interval from 0 to 2a (...
*March 10, 2012 by Roshelle*

**probability**

Let K be a discrete random variable with PMF pK(k)=⎧⎩⎨⎪⎪1/3,2/3,0if k=1,if k=2,otherwise. Conditional on K=1 or 2, random variable Y is exponentially distributed with parameter 1 or 1/2, respectively. Using Bayes' rule, find the conditional PMF ...
*February 28, 2015 by RVE*

**statistics**

Let a random variable be distributed as shown below X=x : 0,1,2,3,4,5,6 P(x): .1 .09 .2 .15 .16 .2 (a) Find the probability p(6) (b) Find the probability P(3< X < 5) (c) Find the probability P(X < 4) (d) Find the probability P(X > 2)
*September 17, 2011 by kim wallace*

**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. Find E[Z∣Y=&#...
*February 25, 2015 by RVE*

**probability**

FUNCTIONS OF A STANDARD NORMAL The random variable X has a standard normal distribution. Find the PDF of the random variable Y, where: 1. Y=3X-1 , Y = 3X - 1 answer: fY(y)=1/3*fX*(y+1/3) f_ Y(y)=1/3*f_ X*(y+1/3) 2. Y=3X^2-1. For y>=-1, Y = 3X^2 - 1. For y >= -1, answer: ...
*March 17, 2015 by RVE*

**Stats**

5. A person’s blood glucose level and diabetes are closely. X is a random variable that measures the milligrams of glucose per deciliter of blood. After a 12 hour fast, x has an approximate normal distribution with a mean of 85 and a standard deviation of 25. What is the ...
*June 7, 2014 by Mark Riverside*

**Probability**

Manhole explosions (usually caused by gas leaks and sparks) are on the rise in your city. On any given day, the manhole cover near your house explodes with some unknown probability, which is the same across all days. We model this unknown probability of explosion as a random ...
*April 20, 2014 by A*

**probability**

Let X be a random variable with PDF fX. Find the PDF of the random variable Y=eX for each of the following cases: For general fX, when y>0, fY(y)= - unanswered fX(eyy) fX(ln yy) fX(ln y)y none of the above When fX(x) = {1/3,0,if −2<x≤1,otherwise, we have fY(y...
*March 30, 2015 by janki*

**Math- Statistics**

A random sample of size 36 is to be selected from a population that has a mean μ = 50 and a standard deviation σ of 10. * a. This sample of 36 has a mean value of , which belongs to a sampling distribution. Find the shape of this sampling distribution. * b. Find the ...
*February 8, 2011 by Tammy*

**math**

A random variable x has a probability distribution. How to calculate E(1/(X+1))?
*August 24, 2011 by Mahalakshmi*

**Statistics**

Let x and y be the amounts of time (in minutes) that a particular commuter must wait for a train on two independently selected days. Define a new random variable w by w = x + y, the sum of the two waiting times. The set of possible values for w is the interval from 0 to 2a (...
*February 27, 2015 by Abbey*

**Probability**

Manhole explosions (usually caused by gas leaks and sparks) are on the rise in your city. On any given day, the manhole cover near your house explodes with some unknown probability, which is the same across all days. We model this unknown probability of explosion as a random ...
*April 21, 2015 by qwerty*

**Statistics**

A person's level of blood glucose and diabetes are closely related. Let x be a random variable measured in milligrams of glucose per deciliter (1/10 of a liter) of blood. Suppose that after a 12-hour fast, the random variable x will have a distribution that is approximately ...
*June 20, 2010 by Alex*

**math**

The number of accidents that occur at the intersection of Pine and Linden streets between 3 p.m. and 6 p.m. on Friday afternoons is 0, 1, 2, or 3, with probabilities of 0.84, 0.13, 0.02, and 0.01, respectively. Graph this probability distribution. What is the expected value ...
*August 11, 2009 by Anonymous*

**math157**

The number of accidents that occur at the intersection of Pine and Linden streets between 3 p.m. and 6 p.m. on Friday afternoons is 0, 1, 2, or 3, with probabilities of 0.84, 0.13, 0.02, and 0.01, respectively. Graph this probability distribution. What is the expected value ...
*October 21, 2009 by jason*

**Math**

The number of accidents that occur at the intersection of Pine and Linden streets between 3 p.p and 6 p.m. on Friday afternoons is 0, 1, 2, or 3, with probabilities of 0.84, 0.13, 0.02, and 0.01, respectively. Graph this probability distribution. What is the expected value for...
*March 30, 2010 by Iris*

**MATH**

The number of accidents that occur at the intersection of Pine and Linden streets between 3 p.m. and 6 p.m. on Friday afternoons is 0, 1, 2, or 3, with probabilities of 0.84, 0.13, 0.02, and 0.01, respectively. Graph this probability distribution. What is the expected value ...
*April 1, 2010 by Tyga*

**Math**

The number of accidents that occur at the intersection of Pine and Linden streets between 3 p.m. and 6 p.m. on Friday afternoons is 0, 1, 2, or 3,with probabilities of 0.84, 0.13, 0.02, and 0.01, respectively. Graph this probability distribution. What is the expected value for...
*May 18, 2010 by Felicia*

**probability**

Alice and Bob each choose at random a real number between zero and one. We assume that the pair of numbers is chosen according to the uniform probability law on the unit square, so that the probability of an event is equal to its area. We define the following events: A = {The ...
*February 7, 2014 by JuanPro*

**math**

Four well-defined social classes (1=low and 4=high) exist in a country. If X is a random variable giving the social class of the son of a father from social class 1, the distribution of X is as follows: we have a small chart that has son's class, X and a 1,2,3,4 next to it ...
*December 1, 2010 by m*

**statistics**

The average age of statistics students nationwide is 22. The standard deviation is 2.5 years. Assume the age is a normally distributed variable. Find the probability that one student selected at random is older than 23. Find the probability that the mean age of a group of 16 ...
*June 11, 2010 by DezShonna K*

**MATH**

(5 pts) The length, X, of a fish from a particular mountain lake in Idaho is normally distributed with \mu = 9.7 inches and \sigma = 1.7 inches. (a) Is X a discrete or continuous random variable? (Type: DISCRETE or CONTINUOUS) ANSWER: (b) Write the event ''a fish chosen has a ...
*February 5, 2014 by Violet*

**MATH Prob.**

The number of accidents that occur at the intersection of Pine and Linden streets between 3 p.m. and 6 p.m. on Friday afternoons is 0, 1, 2, or 3, with probabilities of 0.84, 0.13, 0.02, and 0.01, respectively. Graph this probability distribution. What is the expected value ...
*August 12, 2009 by Twg*

**math/graphing**

The number of accidents that occur at the intersection of Pine and Linden streets between 3 p.m. and 6 p.m. on Friday afternoons is 0, 1, 2, or 3, with probabilities of 0.84, 0.13, 0.02, and 0.01, respectively. Graph this probability distribution. What is the expected value ...
*October 22, 2009 by jason*

**statistics**

A random variable x has a following probability distribution. x: 0 1 2 3 P(X=x) 1/6 1/2 1/5 2/15 How to calculate E(1/(X+1))?
*August 24, 2011 by Mahalakshmi*

**math**

A random variable x has a following probability distribution. x: 0 1 2 3 P(X=x): 1/6 1/2 1/5 2/15 How to calculate E(1/(X+1))?
*August 24, 2011 by Mahalakshmi*

**Probability**

The random variable is uniform in the (-2c,2c)interval . Find and sketch F(y) and f(y) if Y=X^2
*October 13, 2011 by Anonymous*

**Stats**

The Geometric distribution is used when we want to ﬁnd the probability of performing a sequence of trials with X “failures” before the ﬁrst “success”, where a “success” occurs with some probability p. We can denote such a random variable as X ∼ Geo(p). The ...
*September 30, 2013 by Becca*

**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<=x<=1,0<=y<=1,x+y=>1, .........0 otherwise where c is a constant. (i) Find the value of c so that f(x,y) ...
*November 13, 2014 by lee*

**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<=x<=1,0<=y<=1,x+y=>1, .........0 otherwise where c is a constant. (i) Find the value of c so that f(x,y) ...
*November 13, 2014 by sana*

**social psy **

I want to utilize a true experimental design to study the effects of classical music exposure on the cognitive development of newborns. a- What is an independent variable? b- What is a dependent variable? c-What is random assignment? d-Why is random assignment important? e-...
*October 3, 2011 by deb*

**Probabilty**

Biased coin has a 0.4 probability of landing on tails. The random variable x, based on a single toss of the coin, is defined as follows: x=0 if heads appears; x=1 if tails appears. What Is the mean value of X? Is it . 0.3 .4 .6 .5 .7
*November 28, 2012 by Gilbert*

**Probability**

Let Θ be an unknown random variable that we wish to estimate. It has a prior distribution with mean 1 and variance 2. Let W be a noise term, another unknown random variable with mean 3 and variance 5. Assume that Θ and W are independent. We have two different ...
*April 20, 2014 by A*

**PRE-CALC**

A biased coin has a 0.4 probability of landing on tails. The random variable X, based on a single toss of the coin, is defined as follows: X = 0 if heads appears; X = 1 if tails appears. What is the mean value of X? A) 0.7 B) 0.5 C) 0.4 D) 0.3 E) 0.6
*March 24, 2014 by Anonymous*

**Finite Math**

:
Four cards are drawn without replacement from a well shuffled standard deck of cards. Let X be the number of aces drawn. 12. What are the possible values of the random variable X? Write them in increasing order as a set using roster (or list) notation. 13. Sketch a ...
*December 14, 2013 by Janice*

**Math (Probablity**

Suppose a random variable X has mean μX = 6.3, and variance V(X) = 2.2. According to Chebyshev's Theorem, what is the upper bound for the probability that the distance between the value of X and μ will be at least 4.8? I don't even know where to start. But If I can ...
*November 10, 2015 by First Time Here :)*