1) Write a function called generate_random_vector that will generate an array of random values that are from a uniform distribution (hint: inside it should use the Matlab-provided rand function). It should take as inputs a scale that will scale the output and a count that will indicate how many samples to generate. The output should be a column vector of the appropriate length and magnitude.

2) Write a function called generate_random_vector_corrupted that is identical in every way to (1), except that every third element of the returned vector is zero. In your code, show how to do this both using a for loop and using Matlab vector indexing.

Write a function called generate_random vector that will generate an array of random values that are from a uniform distribution (hint: inside it should use the Matlab-provided rand function). It should take as inputs a scale that will scale the output and a count that will indicate how many samples to generate. The output should be a column vector of the appropriate length and magnitude. Write a function called generate_random vector_corrupted that is identical in every way to (1), except that every third element of the returned vector is zero. In your code, show how to do this both using a for loop and using Matlab vector indexing