# 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)= ???

97,999 questions
1. ## 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
2. ## 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
3. ## 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
4. ## 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
5. ## 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
6. ## 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
7. ## 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
8. ## 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
9. ## 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
10. ## 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
11. ## 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
12. ## 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
13. ## 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
14. ## 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
15. ## 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
16. ## 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 p1-p2 ?

asked by assma on February 23, 2015
17. ## 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
18. ## 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
19. ## Probability

In the following problem, please select the correct answer. Let X be a non-negative 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
20. ## 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
21. ## 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 p1-p2 ?

asked by assma on February 23, 2015
22. ## 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
23. ## 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
24. ## 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
25. ## 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
26. ## 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

asked by qwerty on March 4, 2014
27. ## 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
28. ## 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
29. ## 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
30. ## 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
31. ## 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
32. ## 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
33. ## 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
34. ## 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
35. ## 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
36. ## 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
37. ## 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
38. ## 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
39. ## 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
40. ## 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
41. ## 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
42. ## 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
43. ## 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
44. ## 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
45. ## 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
46. ## 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.

47. ## 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
48. ## 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
49. ## 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
50. ## 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
51. ## 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
52. ## 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
53. ## stats

suppose that the wait time at the bank is uniformly distributed in the interval 4-min-8min find the probability that a randomly selected customer has to wait longer than 6.5 minutes

asked by zuly on April 29, 2012
54. ## 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
55. ## 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
56. ## 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
57. ## 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
58. ## 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
59. ## 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
60. ## 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
61. ## 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
62. ## 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
63. ## 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
64. ## 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
65. ## 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
66. ## 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
67. ## 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
68. ## 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
69. ## 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
70. ## 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
71. ## 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
72. ## 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
73. ## 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
74. ## 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
75. ## 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
76. ## 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
77. ## 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
78. ## 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
79. ## 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
80. ## 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
81. ## 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
82. ## 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
83. ## 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
84. ## 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
85. ## 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
86. ## 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
87. ## 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
88. ## 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
89. ## 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
90. ## 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
91. ## 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
92. ## 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
93. ## 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
94. ## 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
95. ## 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
96. ## 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
97. ## 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 chi-square 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
98. ## Experiment

The question is how do I design a basic experiment that would allow us to establish a cause-effect 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
99. ## 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
100. ## 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