Question

The rand() function in Matlab produces a pseudo-random number that is uniformly distributed in (0, 1)....

The rand() function in Matlab produces a pseudo-random number that is uniformly distributed in (0, 1). How would you transform the output from this function if you wanted numbers uniformly distributed between 7 and 13?

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A pseudo-random number generator is a mathematical function that produces a sequence of numbers that is...
A pseudo-random number generator is a mathematical function that produces a sequence of numbers that is supposed to appear to be random (which implies uniformly distributed) and is used in simulation. If the generator produces real numbers over the interval from 0.5 to 5.0, what is the probability that a value is between 2.6 and 2.9?
USING MATLAB Code for pseudo Random Input N M=0 For i=1 to N X=rand# Y=rand# If...
USING MATLAB Code for pseudo Random Input N M=0 For i=1 to N X=rand# Y=rand# If X^2+ y^2 <= 1, then M=M+1 End the loop Print M/N (This is the probability) Print M/N (this is approximately = Py
1. What are the inputs to Excel’s RAND function? a.There is one argument to put into...
1. What are the inputs to Excel’s RAND function? a.There is one argument to put into the function – the distribution from which to generate random numbers. b.There are two arguments to put into the function – the number of random values to generate, followed by the number of decimal places. c.The RAND function has no arguments, just parentheses with nothing in between. 2. What do you actually type into a spreadsheet cell to use the RAND function? a. =RAND()...
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,...
Random number generator 1: Search for algorithms generating pseudo-random numbers. Select one of them for generating...
Random number generator 1: Search for algorithms generating pseudo-random numbers. Select one of them for generating a pseudo-random sequence. Original sample can be generated in any form: binary, decimal, etc. But submitted sample must be in the form of uniform random numbers on [0,1][0,1]. The sample should not be generated by any function, like runif(), sample(), etc. Instead it must be some algorithm that you code yourselves. For example, mid-square algorithm, Fibonacci-based algorithm, etc. Random number generator 2: Find some...
a)—Random variable y is continuously and uniformly distributed between 0 to 1.what is the probability that...
a)—Random variable y is continuously and uniformly distributed between 0 to 1.what is the probability that y =0.33? b)—Random variable X is continuously and uniformly distributed over the range 0 to 7.1. What is σx the standard deviation of x?
Let X be a random number between 0 and 1 produced by a random number generator....
Let X be a random number between 0 and 1 produced by a random number generator. The random number generator will spread its output uniformly (evenly) across the entire interval from 0 to 1. All numbers have an equal probability of being selected. Find the value of aa that makes the following probability statements true. (a)  P(x≤a)=0.8 a= (b)  P(x < a) = 0.25 a= (c)  P(x≥a)=0.17 a= (d)  P(x>a)=0.73 a= (e)  P(0.15≤x≤a)= a=
Let X1,...,X99 be independent random variables, each one distributed uniformly on [0, 1]. Let Y denote...
Let X1,...,X99 be independent random variables, each one distributed uniformly on [0, 1]. Let Y denote the 50th largest among the 99 numbers. Find the probability density function of Y.
Suppose that X is a random variable uniformly distributed over the interval (0, 2), and Y...
Suppose that X is a random variable uniformly distributed over the interval (0, 2), and Y is a random variable uniformly distributed over the interval (0, 3). Find the probability density function for X + Y .
A random number generator is supposed to produce random numbers that are uniformly distributed on the...
A random number generator is supposed to produce random numbers that are uniformly distributed on the interval from 0 to 1. If this is true, the numbers generated come from a population with μμ = 0.5 and σσ = 0.2887. A command to generate 169 random numbers gives outcomes with mean x¯¯¯x¯ = 0.4366. Assume that the population σσ remains fixed. We want to test H0:μ=0.5 Ha:μ≠0.5 (a) Calculate the value of the Z test statistic. (b) Use Table C:...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT