Homework Answers
| a. | Excel formula | Value |
| 1-BINOM.DIST(25,50,0.65,TRUE) | 0.979332 | |
| BINOM.DIST(34,50,0.65,TRUE) | 0.719896 | |
| b. | Excel formula | Value |
| 1-POISSON.DIST(5,7,TRUE) | 0.699292 | |
| POISSON.DIST(9,7,TRUE) | 0.830496 | |
| c. | Excel formula | Value |
| 1-NORMDIST(115,86.78,24.27,TRUE) | 0.122465 | |
| NORMSINV(0.7)*24.27 + 86.78 | 99.5072 |
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show excel formulas please
2. Discrete and Continuous Probability Distributions: In the following three parts, write...
If its possible in Excel Please. HELP! 1.- The probability of a successful launch is 0.7....
If its possible in Excel Please. HELP! 1.- The probability of a successful launch is 0.7. Suppose that launches are made until 2 successful launches have occurred (there is a limit of 6 possible launches). Suppose that each of the launch trials costs $ 3,000. In addition a launch that fails produces an additional cost of $ 400. Calculate the expected cost. 2.- If X is a discrete random variable that has a Poisson distribution and P (X = 0)...
Recall that a discrete random variable X has Poisson distribution with parameter λ if the probability...
Recall that a discrete random variable X has Poisson
distribution with parameter λ if the probability mass function of
X
Recall that a discrete random variable X has Poisson distribution with parameter λ if the probability mass function of X is r E 0,1,2,...) This distribution is often used to model the number of events which will occur in a given time span, given that λ such events occur on average a) Prove by direct computation that the mean of...
Please answer all parts of question. Thank you! Discrete Probability Distributions: part 1 1. Consider the...
Please answer all parts of question. Thank you!
Discrete Probability Distributions: part 1 1. Consider the experiment of rolling two dice. a.) Define a random variable that takes on all possible values for the minimum value of the two dice face showing when the dice come to rest after the roll. b.) Before doing anything at all (do not write out the distribution yet), think about this experiment and the random variable. Tell me what you think the shape of...
Consider the discrete random variables X and Y with the following joint probability mass function: 2...
Consider the discrete random variables X and Y with the following joint probability mass function: 2 y fxy(x,y) -1 0 1/8 0 -1 1/4 0 1/4 0 1/8 -1 1/8 1 -1 1/8 What is P(X = 1 Y = 0)? Are X and Y independent? 1 1 1 A. 0; independent B. 1/2; independent C. 1/2; dependent D. 1/8; dependent E. none of the preceding 3. Multiple Choice Question Suppose that the number of bad cheques received by a...
using excel answer the problem below Let X be a discrete random variable having following probability...
using excel answer the problem below
Let X be a discrete random variable having following probability distribution. x 2 4 6 8 P(x) 0.2 0.35 0.3 0.15 Complete the following table and compute mean and variance for X x P(x) x· P(x) x2. P(x) 2 0.2 4 0.35 6 0.3 8 0.15 Total 1 Expected value E(X) = u = Variance Var = o2 =
5 DISCRETE PROBABILITY DISTRIBUTIONS (21) The number of aircraft landing at London Heathrow Airport per day...
5 DISCRETE PROBABILITY DISTRIBUTIONS (21) The number of aircraft landing at London Heathrow Airport per day is an example of a discrete random variable. (1) True. (2) False. (22) Which of the following is not a characteristic of a binomial experiment? (1) The experiment consists of n identical trials. (2) The trials are independent. (3) Each trial results in one of two outcomes (commonly referred to as success, S, and failure, F). (4) The probability of success, p, should be...
need to check my work. Just need B and C Problem 2. Recall that a discrete...
need to check my work. Just
need B and C
Problem 2. Recall that a discrete random variable X has Poisson distribution with parameter λ if the probability mass function of X is fx (x) = e-λ- XE(0, 1,2, ) ar! This distribution is often used to model the number of events which will occur in a given time span, given that λ such events occur on average a Prove by direct cornputation that the mean of a Poisson randoln...
Please show how did you came up with the answer, show formulas and work. Also, please do Parts e to i. Thank you so much 1. Consider the following probability mass function for the discrete joint pro...
Please show how did you came up with the answer, show formulas
and work. Also, please do Parts e to i. Thank you so much
1. Consider the following probability mass function for the discrete joint probability distribution for random variables X and Y where the possible values for X are 0, 1, 2, and 3; and the possible values for Y are 0, 1, 2, 3, and 4. p(x,y) <0 3 0 4 0.01 0 0 0.10 0.05 0.15...
Please show CDF calculations and graph 2. A random variable has the following probability mass function...
Please show CDF calculations and graph
2. A random variable has the following probability mass function 1 2 4 x p(x) 2 3 3 .3 .2 (a) What is the expected value of X? (10 points) (b) Draw the CDF curve of X (10 points)
please answer question 2?3?4 A continuous random variable Y has the following probability density function (pdf)...
please answer question 2?3?4
A continuous random variable Y has the following probability density function (pdf) cer, 01 (? > 0) y ) Determine c as a function of ?. Then, for the case ? 2, evaluate c, calculate the maximum value of f(v), and show this value in a sketch of fo). (b) Determine F), the cumulative distribution function (edf) of Y. Then, for the case ? = 2, calculate the value of F(0) and show this value in...
Recall that a discrete random variable X has Poisson
distribution with parameter λ if the probability mass function of
X
Recall that a discrete random variable X has Poisson distribution with parameter λ if the probability mass function of X is r E 0,1,2,...) This distribution is often used to model the number of events which will occur in a given time span, given that λ such events occur on average a) Prove by direct computation that the mean of...
Please answer all parts of question. Thank you!
Discrete Probability Distributions: part 1 1. Consider the experiment of rolling two dice. a.) Define a random variable that takes on all possible values for the minimum value of the two dice face showing when the dice come to rest after the roll. b.) Before doing anything at all (do not write out the distribution yet), think about this experiment and the random variable. Tell me what you think the shape of...
Consider the discrete random variables X and Y with the following joint probability mass function: 2 y fxy(x,y) -1 0 1/8 0 -1 1/4 0 1/4 0 1/8 -1 1/8 1 -1 1/8 What is P(X = 1 Y = 0)? Are X and Y independent? 1 1 1 A. 0; independent B. 1/2; independent C. 1/2; dependent D. 1/8; dependent E. none of the preceding 3. Multiple Choice Question Suppose that the number of bad cheques received by a...
using excel answer the problem below
Let X be a discrete random variable having following probability distribution. x 2 4 6 8 P(x) 0.2 0.35 0.3 0.15 Complete the following table and compute mean and variance for X x P(x) x· P(x) x2. P(x) 2 0.2 4 0.35 6 0.3 8 0.15 Total 1 Expected value E(X) = u = Variance Var = o2 =
5 DISCRETE PROBABILITY DISTRIBUTIONS (21) The number of aircraft landing at London Heathrow Airport per day is an example of a discrete random variable. (1) True. (2) False. (22) Which of the following is not a characteristic of a binomial experiment? (1) The experiment consists of n identical trials. (2) The trials are independent. (3) Each trial results in one of two outcomes (commonly referred to as success, S, and failure, F). (4) The probability of success, p, should be...
need to check my work. Just
need B and C
Problem 2. Recall that a discrete random variable X has Poisson distribution with parameter λ if the probability mass function of X is fx (x) = e-λ- XE(0, 1,2, ) ar! This distribution is often used to model the number of events which will occur in a given time span, given that λ such events occur on average a Prove by direct cornputation that the mean of a Poisson randoln...
Please show how did you came up with the answer, show formulas
and work. Also, please do Parts e to i. Thank you so much
1. Consider the following probability mass function for the discrete joint probability distribution for random variables X and Y where the possible values for X are 0, 1, 2, and 3; and the possible values for Y are 0, 1, 2, 3, and 4. p(x,y) <0 3 0 4 0.01 0 0 0.10 0.05 0.15...
Please show CDF calculations and graph
2. A random variable has the following probability mass function 1 2 4 x p(x) 2 3 3 .3 .2 (a) What is the expected value of X? (10 points) (b) Draw the CDF curve of X (10 points)
please answer question 2?3?4
A continuous random variable Y has the following probability density function (pdf) cer, 01 (? > 0) y ) Determine c as a function of ?. Then, for the case ? 2, evaluate c, calculate the maximum value of f(v), and show this value in a sketch of fo). (b) Determine F), the cumulative distribution function (edf) of Y. Then, for the case ? = 2, calculate the value of F(0) and show this value in...
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