Engineering Statistics

The course is a substitute for:

Engineering Statistics (X16IST)

Lecturer:

Tutor:

Supervisor:

Department of Economics, Management and Humanities

Synopsis:

Basic concepts, statistical tables and graphs, statistical series, descriptive characteristics, measures of position, measures of central tendency, measures of variables, coefficient of skewness, coefficient of excess, theoretical distributions, points estimates, interval estimates, hypothesis testing, possibilities of transformation, tests for goodness of fit. Index numbers.

Requirements:

Syllabus of lectures:

1. Basic concepts, forms of measurements, statistical tables and graphs

2. Statistical series. Assortment. Distributions of frequencies

3. One-dimensional descriptive characteristics. Measures of central tendency

4. Means. Transformations. Median. Percentiles. Mode

5. Measures of variables, coefficient of skewness, coefficient of excess

6. Theoretical distributions. Statistical induction

7. Points estimates of basic characteristics

8. Interval estimates of basic characteristics

9. Hypotheses testing of basic characteristics

10. Goodness of fit test. Special tests

11. Individual indexs number. Aggregative indexs

12. Variable-structutre indexs. Multifactors indexs

13. Index numbers (logarithm)

14. Repeticion of more demanding matter. Collective consultation

Syllabus of tutorials:

1. Basic concepts, forms of measurements, statistical tables and graphs

2. Statistical series. Assortment. Distributions of frequencies

3. One-dimensional descriptive characteristics. Measures of central tendency

4. Means. Transformations. Median. Percentiles. Mode

5. Measures of variables, coefficient of skewness, coefficient of excess

6. Theoretical distributions. Statistical induction

7. Points estimates of basic characteristics

8. Interval estimates of basic characteristics

9. Hypotheses testing of basic characteristics

10. Goodness of fit test. Special tests

11. Individual indexs number. Aggregative indexs

12. Variable-structutre indexs. Multifactors indexs

13. Index numbers (logarithm)

14. Repeticion of more demanding matter. Collective consultation

Study Objective:

Study materials:

[1] Daniel, W. W., Terrell J. C.: Business Statistics for Management and Economics. Boston

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• Ekonomika a řízení elektrotechniky a energetiky-inženýrský blok (compulsory course)
• Ekonomika a řízení elektrotechniky a energetiky-inženýrský blok (compulsory course)