Brief Introduction to Statistics. Description of Numerical Data. Elements of Probability Theory. Discrete Probability Distribution. (Hyper-geometric, Binomial, Poisson). Normal Distribution and its applications. Sampling Distributions. The t-distribution and the X2 distribution. Confidence Interval and Hypothesis Testing concerning the mean, variance and proportion of a single population. Confidence Interval and Hypothesis Testing concerning the mean and proportion of two populations. The F-distribution. SAS will be used in this course. Lect: 3 hrs./Lab: 1 hr. Prerequisites: (MTH 108 and MTH 310) or (MTH 141 and MTH 240) or MTH 231 Course Weight: 1.00 Billing Units: 1