- •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 7
1. A buyer has bought a TV set and a video recorder. The probability that a TV set will sustain its warranty period is 0,9 and a video recorder – 0,85. Find the probability that: a) both devices will sustain their warranty periods; b) at least one of them will sustain the own warranty period (to sustain a warranty period – выдержать гарантийный срок).
2. Assume that 40% of all men and 30% of all women are short-sighted persons. A randomly chosen person is short-sighted. Assume that the numbers of men and women are equal. What is the probability that this person is a woman? (short-sighted – близорукий).
3. A coming up seeds of a given grade of rice is estimated with the probability equal 0,9. What is the probability that no less than five seeds will come up from the sown six ones? (to come up – всходить; seed – семя; grade – сорт; rice – рис; to sow – сеять).
4. Two independent random variables X and Y are given by the following tables of distribution:
X |
1 |
2 |
3 |
|
Y |
3 |
4 |
P |
0,3 |
0,5 |
0,2 |
|
P |
0,6 |
0,4 |
Compose the table of distribution of the random variable Z = X Y and check the property: M(X Y) = M(X) M(Y).
5. The probability density of distribution of a random variable is given by:
Find the parameter C, the mathematical expectation, the dispersion, the distribution function of the random variable X, and the probability of the event: –2 < X < 2.
6.
A normally distributed random variable X
is given by the following density of distribution:
Find the probability of hit of the random variable X into the interval (2; 4).
7. The average value of the weight of a product is 300 grammes, and the dispersion is 20. By using the Chebyshev’s inequality estimate the probability that the weight of a randomly taken product will be no less than 280 g and no more than 320 g.
8. There are the following data on the size of revenues of 100 small banks:
212 |
221 |
222 |
240 |
232 |
224 |
230 |
209 |
225 |
222 |
223 |
201 |
255 |
232 |
235 |
238 |
222 |
253 |
238 |
226 |
218 |
259 |
205 |
237 |
208 |
249 |
245 |
250 |
232 |
228 |
249 |
229 |
212 |
217 |
212 |
210 |
226 |
222 |
218 |
225 |
232 |
218 |
245 |
222 |
209 |
229 |
225 |
242 |
228 |
220 |
202 |
212 |
215 |
228 |
228 |
229 |
252 |
225 |
242 |
228 |
218 |
220 |
212 |
215 |
243 |
218 |
242 |
229 |
218 |
236 |
206 |
226 |
240 |
216 |
233 |
205 |
223 |
242 |
228 |
232 |
212 |
240 |
203 |
222 |
218 |
225 |
233 |
224 |
211 |
216 |
219 |
223 |
244 |
238 |
230 |
231 |
226 |
234 |
232 |
216 |
1) Compose the interval and the discrete variation series taking the beginning of the first interval equal 200, and the width of each interval equal 10.
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.
