Objectives: The course aims at : 

1- Learning some commonly used statistical techniques.

2- Applying these techniques in describing and analyzing data.

3- Using statistics to solve different kind of problems.

Contents:

1- Collecting data, graphical presentation and tabulation. Measures of central tendency: mean, median and mode. Measures of dispersion: range, and standard deviation.

2- Elementary probability: random experiment, sample space, event, and computation

of probability. Rules of addition and multiplication, conditional probability and

independence.

3- Random variables, probability distributions, variance and expected value - Some

probability distributions (Binomial, Poisson, and Normal).

Course Outcomes:

A-   Knowledge:

Building the student’s knowledge of the basic statistics to be able to describe data and understand their meanings by using statistics measurements .

B-Cognitive Skills

The students  distinguish  between the types of statistical data, the  advantage of each type and their application fields to help them analytical skills and  the relation between phenomena under study .

C- Interpersonal skills and responsibilities

The course enables the student to have his independent way of thinking and it also makes him share the acquired knowledge in solving problems with his peers and knowing the ways for collecting data .

D- Analysis and communication:

The course will builds the student’s way of thinking and communication with other students which is very important in all the courses of the university. Also, the student learns the ways of solving problems and analyzing them, and he, therefore, will improve his ways of thinking and communicating with others.

Assessment methods for the above elements

Mid-term Exams, short Exams, final Exams and homework.

Text book:

Bluman, "Elementary Statistics a Step by Step Approach",  6^th Edition (2006)

Supplementary references

Larson & Farber, "Elementary Statistics: Picturing the World",  3^rd Edition (2006)

Other Information Resources