- •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
Variant 19
1. Two dice are tossed. Find the probabilities of the following events:
a) the sum of aces is equal to 7;
b) the product of aces is equal to 10;
c) the sum of aces is less than their product.
2. The first automatic device makes 30 %, the second – 25 %, the third – 45 % of all nails. The spoilage makes 6, 5 and 3% respectively in their production. A randomly chosen nail has been defective. Which of automatic devices (1-st, 2-nd or 3-rd) has the nail been most likely made (nail – гвоздь)?
3. The probability that a product of a given batch does not satisfy the standard is equal to 0,3. Determine the probability that among randomly selected 500 products:
a) exactly 140 products do not satisfy the standard;
b) from 145 up to 160 products are non-standard.
4. The table of distribution of a random variable X has the following form:
X |
–1 |
0 |
2 |
4 |
5 |
Р |
0,35 |
0,15 |
0,2 |
0,12 |
0,18 |
Find the mathematical expectation and the dispersion of the random variable X.
5. The density of distribution of a random variable X is given by:
Find: a) the parameter C; b) the mathematical expectation and the dispersion of the random variable.
6. A random variable X is distributed under a normal law. The mathematical expectation and the mean square deviation of the random variable are 40 and 12 respectively. Find: a) the probability that the random variable X takes on a value belonging to the interval (20; 55); b) the probability that the absolute value of the deviation X – M(X) is less than 7.
7. By using the Chebyshev’s inequality estimate the probability that a random variable X will differ from its mathematical expectation M(X) no more than on 6 if the mean square deviation of the random variable X is equal to 3.
8. There are the following data on annual volume of confectionery products (in thousands of tons) of 60 commercial shops:
432 |
487 |
752 |
361 |
552 |
364 |
779 |
667 |
358 |
546 |
558 |
653 |
383 |
431 |
756 |
450 |
565 |
647 |
458 |
577 |
453 |
447 |
551 |
670 |
340 |
554 |
653 |
326 |
713 |
455 |
606 |
586 |
473 |
756 |
401 |
669 |
562 |
739 |
649 |
777 |
448 |
466 |
653 |
551 |
678 |
766 |
352 |
463 |
553 |
788 |
768 |
316 |
431 |
574 |
345 |
749 |
466 |
580 |
395 |
493 |
1) Compose the interval and the discrete variation series taking the beginning of the first interval equal 300, and the width of each interval equal 50.
2) Construct the histogram and the polygon of relative frequencies of distribution.
3) Find the mode and the median (using the discrete series).
4) Find empirical functions of distribution of continuous and discrete variation series; and construct their graphs.
