Skewness and kurtosis
Skewness and kurtosis statistics are used to assess the assumption of normality
Any skewness or kurtosis statistic above an absolute value of 2.0 is considered to mean that the distribution is non-normal. Skewness and kurtosis statistics below an absolute value of 2.0 denote a normal distribution.
The steps for conducting skewness and kurtosis statistics in SPSS
2. Drag the mouse pointer over the Descriptive Statistics drop-down menu.
3. Select Descriptives.
4. Click on the continuous outcome variable to highlight it.
5. Click on the arrow to move the outcome variable into the Variable(s): box.
6. Click the Options tab.
7. Deselect Minimum and Maximum boxes under the Dispersion section.
8. Select the Kurtosis and Skewness boxes under the Distribution section.
9. Click Continue.
10. Select the Save standardized values as variables box.
11. Click OK.
The steps for interpreting the SPSS output for skewness and kurtosis statistics
Statistician Services for Professionals
Eric Heidel, Ph.D. will provide the following services for researchers, professionals, and organizations at $100/hour. Secure checkout is available with Stripe or PayPal.
- Statistical Analysis
- Research Design
- Sample Size Calculations
- Diagnostic Testing and Epidemiological Calculations
- Survey Design and Psychometrics
AppNotch: Convert this website into an Android and iOS app.
AppNotch team will notify you when your app gets approved in Google Play and Apple iTunes App Stores. Once your app goes live, enter your App Store URLs in this property window, publish your Weebly site and your app store icons will be visible in this page.
Please visit AppNotch.com FAQ to learn more about how to add App Store icons to your website, update your app, send Push notifications and more.
Professional Statistician For Hire!
Copyright © 2017 Scalë. All Rights Reserved. Patent Pending.