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11. Finite random variables

Definition 11.1 A random value is called finite if the number of it’s values is finite. If these values are: and , then can consider the table

This table we call the series of distribution of the random variable . . The set we call the domain of the random variable .

If we have a series of distribution we can construct the function of distribution. If all are different and , then

Definition 11.2 Two random variables with the domain and with the domain are independent if for any and for any

.

Operations with random variables

Let random variables and are determined by the following series of distribution:

Definition 11.3 If c is a constant, then the random variable is determined as follows:

Definition 11.4 The random variable is called the degree of and is determined by the following way:

Definition 11.5 The random variable is the sum of and . The sum is determined by the following way.

Domain: .

Corresponding probabilities are: .

Definition 11.6 The random variable is the difference between and . The difference is determined by the following way.

Domain: .

Corresponding probabilities are: .

Definition 11.7 The random variable is the product of and . The product is determined by the following way.

Domain: .

Corresponding probabilities are: .

Mathematical expectation of random variable

Let be a random variable with the series of distribution

Definition 11.8 Mathematical expectation of is the number

.

Properties of

  1. If c is a constant, then .

  2. If are random variables a, b are constants, then

.

  1. If random variables are independent, then

.

  1. If , then .

  2. If , then .

  3. .

Mathematical expectation and average of a random variable

Let be a finite random variable with values and values occur with the following frequencies: occurs times, occurs times,…, occurs times. Then

is the average of values .

Definition 11.9 Numbers are relative frequencies of .

.

So the interpretation of is the average.

Dispersion of a random variable

Definition 11.10 A dispersion of a random variable is the number

.

Remark 11.4

.

Properties of dispersion

1. .

2. If c is a constant, then .

3. If c is a constant, then ..

4. If c is a constant, then .

5. If and are independent random variables

Definition 11.11 The number is called the standard deviation of .

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