```Course outline
Course unit title
Name and title of lecturer
Level of course
Semester
ECTS credits
Prof. dr. Gindra KasnauskienÄ—
first cycle
3
5
48
Contact
Lectures 24
tutorials 8
Student working hours
Practical work
Laboratory work 8
Consultations 8
Individual work
82
Total 130
Prerequisites
Language of instruction
Objectives of the course
The main course objectives are
to develop skills in the
collection, presentation and
analysis of data and to develop
the capability to use the
common statistical methods of
analysis and to gain an
understanding of the principles
behind them.
Teaching methods
Course unit content
English
learning outcomes
assessments methods
The students will be able to
Tests
analyze statistically any
Exam
Home work
situation, to apply a
Team project ant it‘s presentation
systematic approach to solve
Solving exercises using
problems, to locate, select,
MS Excel and IBM SPSS
organize and document
information using
appropriate technology and
information sources and to use
writing term and final papers.
Lectures, tutorials, handouts; projects on analysis of empirical data
using MS Excel and SPSS to process larger sets of data. Students are
encouraged to use an heuristic approach to problem-solving.
The course examines some basic statistical theories, concepts,
methods and techniques, and their application in business. Topics
include preparation and presentation of data, frequency distributions,
measures of central tendency and dispersion, elementary probability,
random variables and probability distributions, the binomial,
1
Poisson, and normal and t distributions. The course also incorporates
the use of MS Excel and a popular software program SPSS to
generate statistical information for analysis and interpretation.
Topics
Contact
hours
hours
1. Introduction. What is
Statistics?
3
2. Statistical calculations
using MS Excel and IBM
SPSS
3. Data collection
3
4.
Presenting Data in
Tables and Charts.
4
5. Measures of central
tendency
4
6.
Measures of variation
2
7.
Measures of shape.
Concentration
2
8.
Basic probability
2
9.
Probability distributions
4
Individual study of
summaries of lectures
and supplementary
material. Calculations
with sigma sign, types
of data identification,
4
Statistical comands in
MS Excel and IBM
SPSS, 12
Qestionnaire design
(application of
statistical methods in
Constructing Tables
and charts in MS
Excel and IBM SPSS ,
8
Calculation of mean,
median, mode,
quartiles and
percentiles, 8
Calculation of
measures of absoliute
and relative variation,
4
Calculation of
skewness and kurtosis,
construction of Lorenz
curve, calculation of
Gini coefficient,
4
Basic concepts and
probability rules, 8
Binomial, Puasson
and Standard normal
probability
distributions, 8
Sampling distributions
of means and
proportions4
Topics
10. Sampling distributions
2
4
4
Year of
publishing
Author‘s name, title of the publication
Publishing House
2011
Argyrous G. Statistics for research with a guide to SPSS.
Sage
2008
Groebner, David F. Business statistics : a decision-making
approach 7th. ed.
IBM SPSS Statistics 20 Brief Guide
Prentice Hall Inc.
2011
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Year of
publishing
2004
Author‘s name, title of the publication
SPSS Step-by-Step Tutorial: Part 1
2008
Publishing House
DataStep
Development
Prentice-Hall, Inc.
McClave J.T., Benson P.G., Sincich T. Statistics for Business
and Economics,10th ed.
Written exam (10 grade system). Solving exercises (using formulaes
Assessment requirements
is allowable) and answering to the one or to open questions. The
exam can be taken only if positive evaluation of the team project is