Objective: 

The course introduces basic ideas and concepts of statistics. The purpose is to provide a gentle way into the subject for those without a statistical background. The course acquaints students with graphical and numerical methods of data presentation, and basic data analytic techniques based on statistical inference.

The aim:
To acquaint students with methods of data presentation and description.
To present the most-used methods of basic statistics.

Acquired knowledge:
Knowledge of basic methods of displaying data.
Knowledge of basic statistical inference.

Acquired skills:
Collecting, describing and analyzing data at primary level.
Using basic statistical inference methods.

Developed reflection:
Ability of critical judgment based on data analysis.

Assessment: 
The final grade consists of: exam ( 40%), term papers ( 40% ), class activity ( 20% ).

Contents: 
Describing and displaying data with graphs and numbers. Density curves, normal distribution.

Relationships in data: scatterplots correlation, least- squares regression.

Producing data -experiments design and survey sampling.

Introduction to probability. Random variables and sampling distributions.

Introduction to inference; estimation with confidence, tests of significance.

Inference for population mean and proportion.

Recommended reading: 
Introduction to the Practice of Statistics, Moore,D.S., . McCabe,G.P., Craig, B.A. W. H. Freeman and Company, New York, 2009.

Basic statistics for business & economics Lind, D.A.,, Marchal,W. G., Wathen, S. A., The McGraw-Hill Companies. McGraw-Hill Higher Education, Boston, 2006.