
Description:  Descriptive statistics, Sample Spaces and Events. Counting. Probability. Conditional Probability. Random Variables. Cumulative distribution function and probability density function. Moments of random variables. Common probability distributions functions. Sampling distributions Elementary introduction to statistics with emphasis on applications and model formulation. Inference about means and proportions, correlation and regression. Categorical data analysis. 
Credit Hours.:  3 
Text Book:  Probability and Statistics for Engineering and the Sciences, by Jay L. Devore. Duxbury Thomson Learning. 
Coordinator:  Walid Ibrahim 
Topics Outline:   Descriptive statistics.
 Sample Spaces and Events. Counting. Probability. Conditional Probability.
 Random Variables. Cumulative distribution function and probability density function. Moments of random variables.
 Common probability distributions functions.
 Sampling distributions.
 Elementary introduction to statistics with emphasis on applications and model formulation.
 Inference about means and proportions.
 Correlation and regression.
 Categorical data analysis.

Outcomes:   Plan data collection, turn data into information and achieve action.
 Apply the statistical methods taught in real life situations.
 Communicate statistical information in oral and written form.
 Use computer and graphical techniques.
 Plan, analyze and interpret the results of experiments.

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Prerequisite  MATH110: Calculus II
