• Skip to secondary menu
  • Skip to content
  • Skip to primary sidebar
  • Home
  • About Me
  • Contact Me

Statistics By Jim

Making statistics intuitive

  • Basics
  • Hypothesis Testing
  • Regression
  • ANOVA
  • Fun
  • Glossary
  • Blog
  • Recommendations

Type II error

February 25, 2017 By Jim Frost

In a hypothesis test, a type II error occurs when you fail to reject a null hypothesis that is actually false. In other words, you obtain an insignificant test result even though a population effect actually exists. Some combination of a small sample size, inherent variability in the data, and bad luck with random sample error might have obscured the population effect.  You can decrease the probability of a type II error by increasing the power of the test.

Related Posts on Statistics by Jim

« Back to Glossary Index
Related Terms:
  • Term: Hypothesis tests
  • Term: Null hypothesis
  • Term: Population
  • Term: Effect
  • Term: Sample
  • Term: Power

Primary Sidebar

Meet Jim

I’ll help you intuitively understand statistics by focusing on concepts and using plain English so you can concentrate on understanding your results.

Read More…

Subscribe via Email!

Enter your email address to receive notifications of new posts by email.

Follow Me

  • FacebookFacebook
  • RSS FeedRSS Feed
  • TwitterTwitter
  • Popular
  • Latest
Popular
  • How To Interpret R-squared in Regression Analysis
  • How to Interpret P-values and Coefficients in Regression Analysis
  • How to Interpret the F-test of Overall Significance in Regression Analysis
  • Understanding Interaction Effects in Statistics
  • Standard Error of the Regression vs. R-squared
Latest
  • Understanding Probability Distributions
  • Understanding Correlation in Statistics
  • Estimating a Good Sample Size for Your Study Using Power Analysis
  • Measures of Variability: Range, Interquartile Range, Variance, and Standard Deviation
  • Measures of Central Tendency: Mean, Median, and Mode

Copyright © 2018 · Jim Frost