vector of random numbers - mean, MSE / SSE.

Hello, I have a task and I don't know how to go about making some of them

1.For the 10-element vector of random numbers calculate the mean and then MSE (Mean Squared Errors) and SSE (Sum of Squared Errors) - if I can ask for help, how can I execute it with what commands?

10 - element vector:

b=randi(10,10,1)

2.To what value do qualitative indicators converge with the increase of random samples?

[KSSV]

It ius a simple task.....check the formula and impliment in MATLAB.

Answer 1

[Jan]

Use mean() to calculate the mean. Then MSE is the "mean squared error": mean((b - mean(b)) .^2).

There is no magic. Simply try it. If you get a specific problem, post your code and explain the problem here.

For your 2nd question: Use a variable n instead of a fixed size of 10. Then increase n to find out by experiments, to examine the results.