The discussion focuses on generating 100 data points from a continuous uniform distribution in MATLAB, with a specified mean of 10 and variance of 4. The equations used include the mean formula \( u = \frac{(a+b)}{2} \) and the variance formula \( \text{var} = \frac{(b-a)^2}{12} \). The user encounters issues with the polynomial solver not producing usable values for 'a' and 'b', which are essential for generating the random points using the command \( r = a + (b-a).*rand(100,1) \).
PREREQUISITESStudents and professionals working with MATLAB who need to generate random data from a continuous uniform distribution, as well as those troubleshooting symbolic equation solvers in MATLAB.
points = 100
m1 = 10
v1 = 4
syms a b
[a, b] = solve( (a+b) == 2*m1,(b-a)^2 == 12 *v1)
r = a + (b-a).*rand(points, 1);freezer said:Homework Statement
Generate 100 data points from a continuous uniform distribution with mean = 10 and variance = 4
Homework Equations
u = (a+b)/2
var = (b-a)^2 / 12
r = a + (b-a).*rand(100,1);
The Attempt at a Solution
Code:points = 100 m1 = 10 v1 = 4 syms a b [a, b] = solve( (a+b) == 2*m1,(b-a)^2 == 12 *v1) r = a + (b-a).*rand(points, 1);