Generating Random Numbers with known probability and more

Hi,

I am trying to solve this problem but can't figure out how to execute it. I know I need to create a line of code that allows me to pick either 0 or 1 to represent sweet and sour and needs to be simulated 500 times, but there is a predetermined probability for each one to be chosen. Can anyone give me some type of direction? Here is the question.

Suppose you have a box with candies. Note that 60% of the candies are sour, the rest are sweet. You extract 10 candies at random.

• Code in MATLAB a simulation of the candy box and the extraction process.
• Run 500 simulations of a. On each simulation, compute the number of sour candies you obtain.
• Compute the theoretical value of the expected value of sour candies in b. and compare with the one you obtained.
• Use the results of your simulation in b. to compute the variance.
• Compute the theoretical value of the variance and compare with the obtained in d.

[KALYAN ACHARJYA]

For homework or assignment questions, we expect efforts from students. If you are stuck, tell us the specific problem.

[wfcsoccer12]

Here is what I have,

%either sweet or sour, 500 times
VAL = [0 1]   % 2 values: 0=sour
P = .6          % probabbility of selecting sour candy
Ndraw = 500      % number of draws
R = rand(Ndraw,1) < P 
SEL = VAL(2 - R) 
sour = numel(find(R==0)) %answers # of sours

My question is that I don't think I have given the number of sours in EACH simulation with this code. I am trying to figure out how I can use matlab to calculate the number of sour candies in each simulation out of 500 simulations rather than the total number of sours after 500 simulations.

[Star Strider]

Remember:

‘You extract 10 candies at random.’

Answer 1

[Adam Danz]

" I know I need to create a line of code that allows me to pick either 0 or 1 to represent sweet and sour ... but there is a predetermined probability for each one to be chosen. Can anyone give me some type of direction? "

If you have the statistics and machine learning toolbox, start my briefly reading the documentation and exploring the examples on this page (link below).

r = binornd(n,p,sz1,...,szN)