This guide contains all of the ASC's statistics resources. If you do not see a topic, suggest it through the suggestion box on the Statistics home page.

- Home
- Excel - Tutorials
- Probability
- VariablesToggle Dropdown
- Statistics BasicsToggle Dropdown
- Discussing Statistics In-text
- Z-Scores and the Standard Normal DistributionToggle Dropdown
- Accessing SPSS
- SPSS-TutorialsToggle Dropdown
- Effect SizeToggle Dropdown
- G*PowerToggle Dropdown
- ANOVAToggle Dropdown
- Chi-Square TestsToggle Dropdown
- CorrelationToggle Dropdown
- Mediation and Moderation
- Regression AnalysisToggle Dropdown
- T-TestToggle Dropdown
- Predictive Analytics This link opens in a new window
- Quantitative Research Questions
- Hypothesis TestingToggle Dropdown
- Statistics Group Sessions

The sample space refers to possible event outcomes. Subsets of this sample space can be used to compute simple probabilities. See the following examples on how to use this approach.

**Example 1**

Let's start with a simple example to warm us up:

We're flipping a fair coin and we want to find the probability of getting "heads". We can begin our thought process by first determining all of the possible outcomes. In this case, we can 1) flip and get "**heads**" or 2) flip and get "**tails**". Therefore there are 2 *possible outcomes = heads, tails*

Next, we want to identify which of these outcomes are our desired outcomes, meaning the outcome(s) we are trying to find the probability for. Since we want to find the probability of getting "heads" * desired outcome = flipping heads*. Looking at our possible outcomes, we can see that only

Now we have everything that we need to compute the probability:

Number of successful/desired outcomes = 1

Total number of possible outcomes = 2

Therefore, **the probability of flipping a fair coin and getting "heads" is 1/2**. We could also report this as a decimal (.5) or a percentage (50%).

**Example 2**

Let's look at another simple example that has a few more possible outcomes:

This time, let's roll a fair die. We want to find the probability of rolling a 3. We will again begin by first determining all of the possible outcomes. In this case, we can roll a one, a two, a three, a four, a five, or a six. Therefore there are 6 *possible outcomes = 1, 2, 3, 4, 5, 6*

Next, we want to identify which of these outcomes are our desired outcomes, meaning the outcome(s) we are trying to find the probability for. Since we want to find the probability of rolling a 3, the * desired outcome = 3*. Looking at our possible outcomes, we can see that only

Now we have everything that we need to compute the probability:

Number of successful/desired outcomes = 1

Total number of possible outcomes = 6

Therefore, **the probability of rolling a 3 is 1/6**. We could also report this as a decimal (.167) or a percentage (16.7%).

**Example**** 3**

Let's consider another die example:

This time, we want to know the probability of rolling an odd number. Applying the same thought process to this scenario, the * possible outcomes* remain the same:

- Last Updated: Sep 30, 2023 3:29 PM
- URL: https://resources.nu.edu/statsresources
- Print Page