# Statistics Examples

A discrete random variable takes a set of separate values (such as , , ...). Its probability distribution assigns a probability to each possible value . For each , the probability falls between and inclusive and the sum of the probabilities for all the possible values equals to .

1. For each , .

2. .

is between and inclusive, which meets the first property of the probability distribution.

is between and inclusive

is between and inclusive, which meets the first property of the probability distribution.

is between and inclusive

is between and inclusive, which meets the first property of the probability distribution.

is between and inclusive

is between and inclusive, which meets the first property of the probability distribution.

is between and inclusive

is between and inclusive, which meets the first property of the probability distribution.

is between and inclusive

For each , the probability falls between and inclusive, which meets the first property of the probability distribution.

for all x values

Find the sum of the probabilities for all the possible values.

The sum of the probabilities for all the possible values is .

Add and to get .

Add and to get .

Add and to get .

Add and to get .

Add and to get .

For each , the probability of falls between and inclusive. In addition, the sum of the probabilities for all the possible equals , which means that the table satisfies the two properties of a probability distribution.

The table satisfies the two properties of a probability distribution:

Property 1: for all values

Property 2:

The table satisfies the two properties of a probability distribution:

Property for all x values

Property

The expectation mean of a distribution is the value expected if trials of the distribution could continue indefinitely. This is equal to each value multiplied by its discrete probability.

Multiply by to get .

Multiply by to get .

Multiply by to get .

Multiply by to get .

Multiply by to get .

Multiply by to get .

Add and to get .

Add and to get .

Add and to get .

Add and to get .

Add and to get .

The standard deviation of a distribution is a measure of the dispersion and is equal to the square root of the variance.

Fill in the known values.

Multiply by to get .

Subtract from to get .

Raise to the power of to get .

Multiply by to get .

Multiply by to get .

Subtract from to get .

Raise to the power of to get .

Multiply by to get .

Multiply by to get .

Subtract from to get .

Raise to the power of to get .

Multiply by to get .

Multiply by to get .

Subtract from to get .

Remove parentheses around .

Raise to the power of to get .

Multiply by to get .

Multiply by to get .

Subtract from to get .

Remove parentheses around .

Raise to the power of to get .

Multiply by to get .

Multiply by to get .

Subtract from to get .

Remove parentheses around .

Raise to the power of to get .

Multiply by to get .

Add and to get .

Add and to get .

Add and to get .

Add and to get .

Add and to get .

Evaluate the root.