Question

Generate two random variates with mean of arrivals (α) of 0.75 using the random numbers given...

Generate two random variates with mean of arrivals (α) of 0.75 using the
random numbers given below (starting from the left most number first).
(0.69607, 0.24145, 0.86477, 0.43886, 0.05317, 0.30455)

Homework Answers

Answer #1

GIVEN THAT:-

random numbers are ,

(0.69607, 0.24145, 0.86477, 0.43886, 0.05317, 0.30455)

TO FIND :-two random variates with mean of arrivals (α) of 0.75 (Using the random numbers above)

now from the above taking 1st value randomlly  

x 0 = 0.69607, x n+1 = P 1 x n + P 2   (mod N)    n = 0,1,2,...

mod N means that the expression on the right of the equation is divided by N

then replaced with the remainder.

the understand it more follow the examples given below

now taking the example values as

x 0 =79, N = 100, P 1 = 263, and P 2 = 71

x 1 = 79*263 + 71 (mod 100) = 20848 (mod 100) = 48,

x 1 = 48*263 + 71 (mod 100) = 12695 (mod 100) = 95,

x 1 = 95*263 + 71 (mod 100) = 25056 (mod 100) = 56,

x 1 = 56*263 + 71 (mod 100) = 14799 (mod 100) = 99,

***********************************************************

please give up vote which means us a lot

THANKYOU

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Use the row of numbers shown below to generate 12 random numbers between 01 and 99....
Use the row of numbers shown below to generate 12 random numbers between 01 and 99. 03087, 11990, 31970, 68370, 63674, 11151, 27521, 83595 Starting at the beginning of the row, what are the first 12 numbers between 01 and 99 in the sample?
(1) Use ‘sample’ function to generate a vector of 100 random numbers that follows a multinomial...
(1) Use ‘sample’ function to generate a vector of 100 random numbers that follows a multinomial distribution with probability (0.1, 0.15, 0.3, 0.45). (2) Without using the ‘sample’ function, generate a vector of 100 random numbers that follows a multinomial distribution with probability (0.1, 0.15, 0.3, 0.45). (3) Calculate the probability for 2.5 < X < 9 in a Poisson distribution with the mean 6. (using R)
Generate at least 20 random numbers within the range of 1 to 900 using linear congruent...
Generate at least 20 random numbers within the range of 1 to 900 using linear congruent method. Xi = (aXo + C) mod m using a = 87, c = 29 and Xo = 19
Generate 1000 random numbers from Normal (mean=25, sd=3) and store in a vector. How many of...
Generate 1000 random numbers from Normal (mean=25, sd=3) and store in a vector. How many of these data points are greater than 26? (You can directly use built in functions in R or use conditional/unconditional iterations). Please provide your final R code and the output.
#5. You can find 20 RANDOM NUMBERS in a Table or you can generate them with...
#5. You can find 20 RANDOM NUMBERS in a Table or you can generate them with software like Excel. The Excel functions are “RAND” and “RANDBETWEEN”. With “Randbetween” you simply input how many numbers you want, the number of digits you want in your random number and the range of values you want those numbers to fall between. For example you may want twenty, 2-digit numbers that fall between 00 and 100 (like “34”). TWO CONSIDERATIONS: (1) You must systematically...
Given that x is a Normal random variable with a mean of 10 and standard deviation...
Given that x is a Normal random variable with a mean of 10 and standard deviation of 4, find the following probabilities: P(x<7.6) P(x>11.5) P(8.9<x<13.5) Given that x is a Normal random variable with a mean of 10 and standard deviation of 4, find x for each situation: the area to the left of x is 0.1 the area to the left of x is 0.75 the area to the right of x is 0.35 the area to the right...
Generate 100 random numbers using the RAND function and create a frequency distribution and a histogram...
Generate 100 random numbers using the RAND function and create a frequency distribution and a histogram with bins of width 0.1. Apply the chi-square goodness of fit test (see Chapter 5) to test the hypothesis that the data are uniformly distributed. This question is from Business Analytics 3rd Edition by James R Evans and from Chapter 12 and question 1 The question is from following book and from Chapter 12 question 1 Textbook: James Evans, Business Analytics, 3nd edition, 2019,...
Which of the following methods are considered random? (No partial marks will be given). a)Sampling using...
Which of the following methods are considered random? (No partial marks will be given). a)Sampling using random number table to select quadrat coordinates. b)Place quadrats at pre-determined specific intervals and sample over the entire study area c)Turn around and  blindly throwing the quadrat d)Sample all the individuals in study area e)Have someone arbitrarily call out a set of 2 numbers. Sample at these coordinates. f)Randomly draw numbers from a bag. These numbers indicate the number of steps you walk from the...
1) Consider a linear congruential random number generator with parameters a = 35, c = 20...
1) Consider a linear congruential random number generator with parameters a = 35, c = 20 and m = 100. a- Generate 5 random numbers by using this method. Use 84. b- By using inverse transform method, generate 2 random variate for an exponential distribution with parameter λ = 0.5. Use the first two random numbers you generated in part a.
Find two positive numbers satisfying the given requirements. The product is 27 and the sum of...
Find two positive numbers satisfying the given requirements. The product is 27 and the sum of the first plus three times the second is a minimum. first number second number
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT