This course will examine arrangement and selection – application to probability.  sampling distribution; statistical estimation – estimation of parameters, unbiased, efficient, point and  interval estimates; expectation; random variable and probability distributions – binomial, poison, normal, student t- and chi-square; confidence – interval estimates of population parameters; test of significance concerning means and proportions –  sample test (Z, t and X2)  and  regression and correlation coefficient.