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
- ProbabilityToggle Dropdown
- VariablesToggle Dropdown
- Statistics BasicsToggle Dropdown
- Discussing Statistics In-text
- Z-Scores and the Standard Normal Distribution
- Accessing SPSS
- SPSS-TutorialsToggle Dropdown
- Effect SizeToggle Dropdown
- G*PowerToggle Dropdown
- Testing Parametric Assumptions
- 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

- Z-score TutorialLearn about the standard normal distribution (also called the z-distribution) and how to compute probability using the z-table. Practice applying these concepts to find probabilities for common scenarios.

Normal distributions are not all exactly the same size or shape. However, they all possess the same key features:

- mean = median = mode - located in the middle of the distribution
- so half of the distribution (50%) lies above the mean and half of the distribution lies below the mean

- symmetrical distribution about the mean
- if you folded the distribution in half along the mean, the halves are mirror images of each other

The Standard Normal Distribution is a special case of the normal distribution that takes on a specific shape with a given mean and standard deviation:

- mean = 0
- standard deviation = 1

We also refer to the Standard Normal Distribution as the Z-Distribution because we often speak about this distribution in terms of z-scores, which you can learn more about on the next tab.

- Last Updated: Jul 16, 2024 11:19 AM
- URL: https://resources.nu.edu/statsresources
- Print Page