Continuous variables must possess normality in order to use parametric statistics
Normality and applied statistics
If a continuous variable's distribution yields skewness and kurtosis statistics below an absolute value of 2.0, then the assumption of normality has been met. More powerful parametric statistics can be used on continuous variables that meet the assumption of normality.
In certain instances, an ordinal variable can be upgraded to an interval scale of measurement if the assumption of normality is met for the ordinal distribution. This is especially true if the ordinal variable is a Likert-type score yielded from an empirically-validated instrument. More statistical power is achieved for these types of ordinal variables if the assumption of normality can be met and parametric statistics are used.
Statistician Services for Students
Eric Heidel, Ph.D. will provide the following services for undergraduate and graduate students at $50/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 © 2019 Scalë. All Rights Reserved. Patent Pending.