Crib on the general theory of statistics and lecture notes

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Uploaded: 13.09.2010
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Suitable for all universities !!!
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).
TABLE OF CONTENTS
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

Additional information

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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