- •Introduction
- •Basic concepts of probability theory
- •Classical definition of probability
- •Relative frequency
- •Geometric probabilities
- •Glossary
- •Exercises for Seminar 1
- •Exercises for Homework 1
- •Basic formulas of combinatorial analysis
- •Operations over events
- •Glossary
- •Exercises for Seminar 2
- •Exercises for Homework 2
- •Theorem of addition of probabilities of incompatible events
- •Complete group of events
- •Opposite events
- •Conditional probability
- •Theorem of multiplication of probabilities
- •Glossary
- •Exercises for Seminar 3
- •Exercises for Homework 3
- •Independent events
- •Where a is the appearance of at least one of the events a1, a2, …, An; .
- •Glossary
- •Exercises for Seminar 4
- •Exercises for Homework 4
- •Theorem of addition of probabilities of compatible events
- •Formula of total probability
- •Probability of hypotheses. Bayes’s formulas.
- •Glossary
- •Exercises for Seminar 5
- •Exercises for Homework 5
- •Repetition (recurrence) of trials. The Bernoulli formula
- •Local theorem of Laplace
- •Integral theorem of Laplace
- •Glossary
- •Exercises for Seminar 6
- •Exercises for Homework 6
- •Random variables. The law of distribution of a discrete random variable
- •A random variable is understood as a variable which as result of a trial takes one of the possible set of its values (which namely – it is not beforehand known).
- •Mathematical operations over random variables
- •(Mathematical) expectation of a discrete random variable
- •Dispersion of a discrete random variable
- •Glossary
- •Exercises for Seminar 7
- •Exercises for Homework 7
- •Distribution function of a random variable
- •Properties of a distribution function
- •Continuous random variables. Probability density
- •Properties of probability density
- •Glossary
- •Exercises for Seminar 8
- •Exercises for Homework 8
- •Basic laws of distribution of discrete random variables
- •1. Binomial law of distribution
- •2. The law of distribution of Poisson
- •3. Geometric distribution
- •4. Hypergeometric distribution
- •Glossary
- •Exercises for Seminar 9
- •Exercises for Homework 9
- •Basic laws of distribution of continuous random variables
- •1. The uniform law of distribution
- •2. Exponential law of distribution
- •3. Normal law of distribution
- •Glossary
- •Exercises for Seminar 10
- •Exercises for Homework 10
- •The law of large numbers and limit theorems
- •The central limit theorem
- •Glossary
- •Exercises for Seminar 11
- •Exercises for Homework 11
- •Mathematical statistics. Variation series and their characteristics
- •Numerical characteristics of variation series
- •Glossary
- •Exercises for Seminar 12
- •Exercises for Homework 12
- •Bases of the mathematical theory of sampling
- •Glossary
- •Exercises for Seminar 13
- •Exercises for Homework 13
- •Methods of finding of estimations
- •Notion of interval estimation
- •Glossary
- •Exercises for Seminar 14
- •Exercises for Homework 14
- •Testing of statistical hypotheses
- •Glossary
- •Exercises for Seminar 15
- •Exercises for Homework 15
- •Individual homeworks
- •Variant 1
- •Variant 2
- •Variant 3
- •Variant 4
- •Variant 5
- •Variant 6
- •Variant 7
- •Variant 8
- •Variant 9
- •Variant 10
- •Variant 11
- •Variant 12
- •Variant 13
- •Variant 14
- •Variant 15
- •Variant 16
- •Variant 17
- •Variant 18
- •Variant 19
- •Variant 20
- •Variant 21
- •Variant 22
- •Variant 23
- •Variant 24
- •Variant 25
- •Final exam trial tests (for self-checking)
- •Appendix
- •Values the functions and
- •List of the used books
- •Contents
Exercises for Homework 12
12.6. There are the following data on a number of industrial subdivisions on each of 100 agricultural enterprises:
2, 4, 5, 3, 4, 6, 7, 4, 5, 3, 3, 4, 2, 6, 5, 4, 7, 2, 3, 4, 4, 5, 4, 3, 4, 6, 6, 5, 2, 3, 4, 3, 5, 6, 7, 2, 4, 3, 4, 5, 4, 6, 7, 2, 5, 3, 5, 4, 3, 7, 2, 4, 3, 4, 5, 4, 3, 2, 6, 7, 6, 4, 3, 2, 3, 4, 5, 4, 3, 5, 4, 3, 2, 6, 4, 5, 7, 5, 4, 3, 4, 5, 7, 4, 3, 4, 5, 6, 5, 3, 4, 2, 2, 4, 3, 7, 5, 6, 4, 5.
Compose the series of distribution of the agricultural enterprises on number of industrial subdivisions for one economy. Find cumulative and relative frequencies. Represent the variation series graphically. Determine the average number of industrial subdivisions for one economy, the modal and median values of the number of subdivisions, the dispersion and the average quadratic deviation (economy – хозяйство).
12.7. There are the following data on an area of crops of vegetables in the economies of the set of districts.
The area of crops of vegetables on an economy
District |
Number of economies |
||||||
1 |
2 |
3 |
4 |
5 |
6 |
7 |
|
1 |
8 |
10 |
12 |
6 |
15 |
30 |
21 |
2 |
32 |
16 |
26 |
41 |
44 |
38 |
- |
3 |
101 |
165 |
230 |
144 |
84 |
76 |
260 |
4 |
22 |
30 |
44 |
18 |
16 |
31 |
- |
5 |
10 |
7 |
4 |
3 |
12 |
7 |
6 |
6 |
255 |
366 |
384 |
273 |
450 |
510 |
- |
7 |
121 |
84 |
96 |
110 |
161 |
143 |
- |
8 |
34 |
16 |
84 |
71 |
36 |
8 |
17 |
9 |
46 |
41 |
48 |
52 |
50 |
58 |
- |
10 |
15 |
24 |
86 |
144 |
34 |
14 |
24 |
Give the comparative estimation of variability of the area of crops of vegetables in the economies of two districts (variability – колеблемость; crop – посев).
12.8. Workers of an enterprise are grouped by age.
Distribution of workers of the enterprise by age
Categories of workers |
Age of workers, years |
Total number of workers |
||||
Up to 30 |
30-40 |
40-50 |
50-60 |
From above 60 |
||
Workers |
43 |
141 |
216 |
127 |
118 |
645 |
Heads |
2 |
4 |
6 |
8 |
4 |
24 |
Specialists |
3 |
18 |
30 |
34 |
22 |
107 |
Total number of workers |
48 |
163 |
252 |
169 |
144 |
776 |
Determine: the average age of workers of the enterprise as a whole and on the marked categories; the modal and median values of age of workers on categories and on the enterprise; the dispersion and the average quadratic deviation of age on categories of workers and on the enterprise; the intergroup dispersion of age of workers. Find the general dispersion of age of workers by using the rule of addition of dispersions.
12.9. The administration of a supermarket is interested in the optimal level of stocks of products in a trading hall, and also the monthly average volume of purchases of the goods which are not subjects of daily consumption in a family (for example such as soda). For finding-out of this question the manager of a supermarket within January was registering the frequency of purchases of 100-gramme packages with soda and has collected the following data xi:
4, 4, 9, 3, 3, 1, 2, 0, 4, 2, 3, 5, 7, 10, 6, 5, 7, 3, 2, 9, 8, 1, 4, 6, 5, 4, 2, 1, 0, 8
Construct the variation series, determine its numerical characteristics. Which recommendations would you give to the administration of the supermarket?
L E C T U R E 13
