BUDAPEST BUSINESS SCHOOL
COLLEGE OF FINANCE AND ACCOUNTANCY- FINANCE DEPARTMENT
1149 BUDAPEST, BUZOGÁNY ST. 10-12.
 / FAX: +36-1-4696697
SYLLABUS
Statistics II.
2009/2010 – Fall term
Course title:
Statistics I.
Contact hours:
1+2
Credits:
3
Prerequisites:
Passed exam on Statistics I. and Mathematics
Course unit leader:
Oroszné Dr. Csesznák Anita
Office number: B103
e-mail address: csesznak.anita@pszfb.bgf.hu
Aims and objectives
In this course you will: distinguish between the use of descriptive and inferential statistics, use
the results drawn from samples to estimate population parameters, review confidence
intervals and hypothesis testing, explain the concept of using a confidence interval to estimate
a population parameter, identify when hypothesis testing may be appropriate and explain the
methodology as it relates to the scenario.
Course description
This course introduces to two important concepts used in inferential statistics: confidence
intervals for estimating population parameters and hypothesis testing for proving inferences
about population parameters. In the second part of semester we deal with correlation,
regression and time series analysis. (The four components of time series; measure seasonal
variation using the ratio-to-moving average method.)
Course schedule
Consultations
(semester weeks)
Topic
1st – 2nd
Sampling (Describe the techniques and problems associated with sampling.)
3rd –4th
Estimation Hypothesis testing (Estimating a population mean, large-sample
confidence intervals for a population mean, determining necessary sample size,
confidence intervals for a normal population mean, large-sample confidence
intervals for a population proportion. An introduction to hypothesis testing; terms,
notation, terminology; type 1 and type 2 errors and possible conclusions; largesample hypothesis tests; P-values; hypothesis tests for a normal population mean;
large-sample hypothesis tests for a population proportion. )
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5th-6th
7th-8th
9th -10th
11th -12th
Hypothesis testing II. (State and test hypotheses about a population mean or the
comparison of two population means. Use the t-test to test statistical significance
for estimation of a population mean or for the comparison to means between two
populations for small sample sizes. State and test hypotheses about a population
variance. Large-sample inferences for two population means using independent
samples; inferences for the means of two normal populations using independent
samples; inferences for two population means using paired samples; large-sample
inferences for two population proportions using independent samples. The chisquare distribution, goodness-of-fit test, independence test, inferences for a
population standard deviation. )
Correlation, regression (Compute the regression line derived from the least
squares method. Evaluate and use methods of regression prediction and the
correlation coefficient for the comparison of two measures. Linear equations with
one independent variable, the regression equation, the coefficient of
determination, linear correlation, multiple regression.)
Non-linear regression Multiple regression (The regression model, inferences for
the slope of the population regression line, estimation and prediction, inferences
in correlation, multiple regression. The F-distribution, one-way analysis of
variance.)
Time series analysis Produce a time series graph
Course policies
Students are invited for compulsory attendance on the lectures.
Assignments
Written exam: 1 written exam at the end of the semester.
Assessment and grading
Grading: the points (percentages) corresponding to marks from 1-5.
0-50%
Fail (1)
51-62%
Pass (2)
63-75%
Satisfactory (3)
76-87%
Good (4)
88-100%
Excellent (5)
Compulsory readings
Amir D. Aczel: Complete Business Statistics, Mc Grow – Hill Irvin Boston. 2002.
Recommended readings
Anderson, D. R. Sweeney, D. I. – Williams T. A.: Statistics for business and economics (West
Publishing Company, Minneapolis / St. Poul) New York, 2004. (9th edition)
G.K. Bhattacharyya- R.A. Johnson: Statistical Concepts and Methods (Wiley, 1977).
P. Newbold: Statistics for business and Economics (Prentice Hall, 1991).
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