2. Rectangular or Uniform distribution A random variable X is said to have a continuous uniform distribution over an interval (, ) if its probability density function is constant k over entire range of x. PROBABILITY DENSITY FUNCTION f (x) = k, < X < = 0 otherwise
3. Rectangular or Uniform distribution The uniform distribution, with parameters and , has probability density function
4. Figure:Graph of uniform probability density All values of x from to are equally likely in the sense that the probability that x lies in an interval of width x entirely contained in the interval from to is equal to x/( - ), regardless of the exact location of the interval. Uniform distribution
9. Discrete Uniform distribution If random variable assume finite no. of values with each value occuring with same probability Probability density function is f(x) = 1/n, X=x1,x2,…… xn