CODE 
SOR0210 

TITLE 
Data Treatment and Probability 

LEVEL 
00  Mod PreTert, Foundation, Proficiency & DegreePlus 

ECTS CREDITS 
2 

DEPARTMENT 
Statistics and Operations Research 

DESCRIPTION 
 Basic Ideas on Treatment of Data  Types of Data  Data collection  Coding and Sorting of Data  Presentation of Data
 Descriptive Statistics  Frequency Tables and Percentiles  Measures of Central Tendency  Measures of Dispersion
 Elementary Probability  Permutations and Combinations  Venn Diagrams and Simple Applications  Addition and Multiplication Rules  Conditional Probability  Mutually Exclusive and Independent Events
 Probability Distributions  Discrete Distributions: Uniform, Poisson, Binomial  Continuous Distributions: Exponential, Normal  Means, Variances and Standard deviations of these distributions
Studyunit Aims:
The aims of this studyunit are to:  Discriminate between two selection methods (with and without replacement) and familiarize with different types of enumeration (multiplication rule, combinations and permutations);  Describe the properties of probability and use probability theory to solve problems for mutually exclusive events, independent events and conditional events;  Discriminate between discrete and continuous random variables and compute their expected value and variance;  Discriminate between different discrete distributions (Binomial and Poisson) and use these distributions to calculate the probabilities of discretetype of random variables;  Discriminate between different continuous distributions (Exponential and Normal) and use these distributions to calculate the probabilities of continuoustype of random variables.
Learning Outcomes:
1. Knowledge & Understanding:
By the end of the studyunit the student will be able to:  Understand the fundamental concepts of enumerative combinatorics (combinations and permutations) and analytic combinatorics (probability theory);  Familiarize with the concepts of expectation and variation and use these statistical tools to estimate the mean and variance of discrete and continuous random variables;  Discriminate between different types of discrete and continuous distributions and use these distributions to compute the probabilities of events.
2. Skills:
By the end of the studyunit the student will be able to:  Solve real life problems related to combinatorics and probability;  Identify the appropriate distribution of specific discrete and continuous variables and use the properties of these distributions to solve probability problems;  Use computer software, particularly EXCEL and SPSS, to carry out Descriptive Statistics and compute the probabilities of events for specific distributions, including the Binomial, Poisson, Exponential and Normal distribution.
Suitable arrangements will be made for time and space to be allocated to the instruction and use in practice of elementary modules in statistical software, time and human resources permitting. The package/s, which will be used, would preferably form part of some widely used software like readily available spreadsheet applications.
Main Text/s and any supplementary readings:
 Freund, J. E. and Simon, G. A. (1995) Statistics  A First Course, Prentice Hall Inc.  Speigel, M. R. (1979) Schaum's Outline Series: Theory & Problems of Statistics  McGrawHill.  Sander, D. (1995) Statistics  A First Course  McGrawHill.  Freund, J. E. and Simon, G. A. (1997) Modern Elementary Statistics, Prentice Hall Inc.  Rees, D.G. (1989) Essential Statistics  2nd Edition, Chapman and Hall.  Freund, J. E. (1981) Statistics  A First Course  3rd Edition, Prentice Hall Inc.  Johnson, R. (1981) Elementary Statistics  4th Edition, Duxbury Press Boston.  Harper, W.M. (1991) Statistics  5th Edition, M and E Handbook Series.  Gilbert, N. (1988) Statistics  2nd Edition, Saunders College Publisher.  J.A. Ingram (1977) Elementary Statistics, Cummings Publishing Co.  Alastair, C. and Wardlaw (1999) Practical Statistics for experimental Biologists  2nd Edition, Wiley.  Campbell, R.C. (1989) Statistics for Biologists  3rd Edition, Cambridge University Press.  Newbold, P. (1995) Statistics for Business and Economics  4th Edition, Prentice Hall Inc.  Barrow, M. (2001) Statistics for Economics, Accounting and Business Studies, Financial Times Prentice Hall Inc.  Knapp, R. G. (1984) Basic Statistics for Nurses  2nd Edition, Delmar.  Finkelstein, M. and Levin, B. (2001) Statistics for Lawyers  2nd Edition, Springer.


ADDITIONAL NOTES 
Prerequisite Qualification: ‘O’ Level Mathematics
1st Year students are to take this studyunit in the 2nd semester, while students in any other year are to take this unit in the 1st semester.
This studyunit cannot be taken by B.Sc. (Hons) Statistics & OR students. 

STUDYUNIT TYPE 
Lecture 

METHOD OF ASSESSMENT 
Assessment Component/s 
Resit Availability 
Weighting 
Computerbased Examination
(1 Hour and 30 Minutes)

Yes 
100% 


LECTURER/S 
Monique Sciortino Liberato Camilleri Linniker Grech Lynsey Schembri


The University makes every effort to ensure that the published Courses Plans, Programmes of Study and StudyUnit information are complete and uptodate at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints.
Units not attracting a sufficient number of registrations may be withdrawn without notice.
It should be noted that all the information in the studyunit description above applies to the academic year 2017/8, if studyunit is available during this academic year, and may be subject to change in subsequent years.

22 October 2017
http://www.um.edu.mt/science/studyunit

