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Uploaded: 13.09.2010

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Lectures include 60 questions, the volume of 1-2 pages. Made textbooks 2009-2010.

Crib is made of lecture notes, double-sided, measuring 4.5 x 7.5 cm (easily fits into the palm).


1. Statistics as a science of society. The emergence of accounting and statistics

2. The object and subject of statistics. Tasks statistics

3. Place the statistics in the sciences. Methods used in statistics

4. The law of large numbers and its role in the statistics

5. The structure of statistical science. Theory of Statistics

6. The main categories of statistics

7. Statistics as the system information. Stages of statistical research

8. The current organization of the state statistics in Russia

9. The concept and the basic stages of statistical research

10. Statistical observation, its objectives and stages of

11. The basic organizational forms, types and methods of statistical observation

12. Problems of the organization of statistical observation in modern conditions

13. Statistical summary, its objectives and content. Types of reports

14. The statistical population and its characteristics

15. The method of grouping. The objectives and types of statistical groupings

16. Various types of groupings. The concepts of number and size of groups of slots

17. Statistical tables, their types and rules of construction

18. The average value. Correlation method and medium groups

19. Average: types and forms. Rule majorization. The properties of the arithmetic mean

20. Moda- median. Average chronological

21. Variation: concept, objectives, absolute figures

22. Relative variations and their practical application

23. Dispersion: properties, types, the addition rule. Dispersion of alternative characters

24. The use of indicators of variation in the statistical analysis

25. The series of distribution and their types. Key Features of distribution series

26. The law of distribution. The density distribution

27. A study of the forms of distribution. Three types of distributions

28. Theoretical distributions in the analysis of variational series

29. Statistical tests and test hypotheses about the nature of the distribution

30. The main problems of the theory of sampling. General and total sample

31. Determination of the average sampling error

32. Maximum sampling error. Determining the size of the sample

33. The main methods of forming the sample. Types of samples

34. Distribution of the sample results to the general population

35. Small sample

36. The main tasks of and prerequisites for the use of regression analysis

37. Correlation parametric methods. Evaluation significant correlation

38. The regression equation. Selecting the coupling equations

39. Indicators closeness of the connection. The linear correlation coefficient. Correlations

40. Steam regression based on least squares method and the method of grouping

41. Multiple (multi-factor) regression

42. Non-parametric indicators of communication. Chuprov coefficients and Spearman

43. The series of dynamics: concept, types, basic rules of construction

44. The absolute, relative and average time series

45. Average series. Closure series. Odds advance

46. \u200b\u200bComponents of the level of a number of speakers. Methods for identifying trends in time series

47. The study and measurement of seasonal fluctuations. A comparison of the time series

48. Regression and correlation in time series

49. The extrapolation and interpolation of time series

50. The concept of indexes and index method. Classification Index

51. Aggregate Index

52. The arithmetic mean and harmonic indices

53. The series of indices with fixed and variable base of comparison

54. The index method. The most important economic indices and their relationship

55. Characteristics of multivariate statistical analysis

56. Analysis of variance

57. Statistical characteristics in the evaluation of the significance of group selection

58. Problems of cluster analysis. Basic procedures clustering

59. Discriminant analysis. The concept of the discriminant function

60. A method for estimating the results of multivariate statistical analysis

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