Most people have heard, I think, of the old adage that buttered bread always lands buttered side down. However, from a scientific standpoint, what is the real statistical and experimental probability of buttered bread landing butter side up? For that matter, what is the difference between a statistical and an experimental probability?

### Basic Probability

Probability is the study of chance. When studying probability, there are two very general classifications: **theoretical probability** and **experimental probability**.

**Theoretical probability**is the calculated probability that a given outcome will occur if the same experiment were completed an infinite number of times.**Experimental probability**is the observed result of an experiment conducted a limited number of times.

For example, ignoring the very slight differences between the figures stamped onto each side of a coin, the statistical probability of a coin landing heads-up is 50%. However, if you flip a coin 10 times, you may very well find that the observed experimental probability results in 60% or 70% or even greater probability of one side landing up. This discrepancy is perfectly natural and expected when conducting experiments, and it is important to recognize it.

In this lesson we will confine our study to the probability of a simple event. The probability of a simple event is the calculated chance of a specific direct outcome of a single experiment where in all possible outcomes are equally likely. To calculate the probability of such an outcome, we use a very simple and intuitive formula:

**Calculating Probability **

#### \begin{align*}P(y)=\frac{3}{26}=11.5 \%\end{align*}

**Earlier Problem Revisited**

*From a scientific standpoint, what is the real statistical and experimental probability of buttered bread landing butter side up? For that matter, what is the difference between a statistical and an experimental probability?*

Remember that the difference is that *statistical probability* is the calculated probability of a specific outcome, and *experimental probability* is the observed probability.

The statistical probability of the bread landing butter side up can be assumed to be \begin{align*}\frac{1}{2}\end{align*}, based on bread having two sides.

According to the “MythBusters” experiment in the video, the observed probability was \begin{align*}\frac{29}{45}\end{align*}. However, you should know that your results might be different!

### Examples

#### Example 1

What is the probability of pulling the 1 red marble out of a bag with 12 marbles in it?

\begin{align*}P(red)=\frac{\text{1 red marble}}{\text{12 total marbles}}=\frac{1}{12} \ or \ 8.3 \%\end{align*}

#### Example 2

What is the probability of a spinner landing on “6” if there are 6 equally spaced points on the spinner?

\begin{align*}P(red)=\frac{\text{1 red marble}}{\text{12 total marbles}}=\frac{1}{12} \ or \ 8.3 \%\end{align*}

#### Example 3

What is the probability of pulling a red card at random from a standard deck?

\begin{align*}P(red)=\frac{\text{26 red cards}}{\text{52 total cards}}=\frac{26}{52}=\frac{1}{2} \ or \ 50 \%\end{align*}

#### Example 4

What is the experimental probability of heads in an experiment where Scott flipped a coin 50 times and got heads 21 times?

\begin{align*}P(heads)=\frac{\text{21 heads}}{\text{50 flips}}=\frac{21}{50} \ or \ 42 \%\end{align*}

#### Example 5

What is the probability of shaking the hand of a female student if you randomly shake the hand of one person in a room with 23 female students and 34 male students?

\begin{align*}P(female)=\frac{\text{23 females}}{\text{57 students }}=\frac{23}{57} \ or \ 40.4 \%\end{align*}

### Review

Questions 1-10, find the probability:

- Rolling a 4 on a standard die
- Pulling a King from a standard deck
- Pulling a green candy from an opaque bag with 5 red, 3 yellow, 3 blue, and 6 green candies.
- Getting a 5 from one spin on a spinner numbered 1-8 (equally spaced)
- Rolling an even number on a 20-sided die
- Rolling and odd number on a standard die
- Pulling a red card from a standard deck
- Pulling a face card from a standard deck
- Spinning red on a spinner with Red, Orange, Yellow, Green, Blue and Purple (equally spaced)
- Pulling a club from a standard deck
- Pulling a brown candy from a box of 25 candies, containing equal numbers of brown, red, green, blue, and yellow candies
- Getting a prime number with a random number generator that has an equal chance of generating any number between 1 and 50
- Getting a composite number with the same generator

### Review (Answers)

To view the Review answers, open this PDF file and look for section 6.1.