When you generate a random number using your calculator, the random number you get is uniformly distributed over the interval (0, 1). Suppose 50 people in Stat 322 class generate one random number each (independently). X

uniformly distributed random numbers here the MATLAB code to find for any number of people and interval

X = rand

X = rand(n)

X = rand(sz1,...,szN)

X = rand(sz)

X = rand(___,typename)

X = rand(___,'like',p)

where

X = rand returns a single uniformly distributed random number in the interval (0,1).

X = rand(n) returns an n-by-n matrix of random numbers.

X = rand(sz1,...,szN) returns an sz1-by-...-by-szN array of random numbers where sz1,...,szN indicate the size of each dimension. For example, rand(3,4) returns a 3-by-4 matrix.

X = rand(sz) returns an array of random numbers where size vector sz specifies size(X). For example, rand([3 4]) returns a 3-by-4 matrix.

X = rand(___,typename) returns an array of random numbers of data type typename. The typename input can be either 'single' or 'double'. You can use any of the input arguments in the previous syntaxes.

X = rand(___,'like',p) returns an array of random numbers like p; that is, of the same object type as p. You can specify either typename or 'like', but not both.

0 is its x and y coordinate

a

step-by-step explanation: