Calculating Mean and Standard Deviation of Random Variables

It is always 50%.

It is only seen in the long run after many trials.

It is the same for all events.

It can be determined after a few trials.

50%

It varies and is not necessarily 50%

0%

100%

There is no difference.

Sample mean is always larger than population mean.

Population mean is always 50%.

Sample mean is from a small sample, population mean is from a large number of trials.

sigma

mu

p

x-bar

Probability

Variance

Expected value

Standard deviation

Sum of probabilities

Sum of all outcomes

Sum of each outcome multiplied by its probability

Sum of outcomes divided by the number of trials

The probability of outcomes

How far outcomes vary from the mean

The expected value

The mean value

s

sigma

mu

x-bar

Enter the outcomes in list 1

Find the variance

Calculate the sum

Enter the probabilities in list 1

Probabilities

Statistics

Outcomes

Parameters