• Skip to secondary menu
  • Skip to main content
  • Skip to primary sidebar
  • My Store
  • Glossary
  • Home
  • About Me
  • Contact Me

Statistics By Jim

Making statistics intuitive

  • Graphs
  • Basics
  • Hypothesis Testing
  • Regression
  • ANOVA
  • Probability
  • Time Series
  • Fun

Mode

By Jim Frost

The mode is the value that occurs most frequently in a set of observations. You can find the mode simply by counting the number of times each value occurs in a data set.

For example, if the weights of five apples are 5, 5, 6, 7, and 8, the apple weight mode is 5 because it is the most frequent value.

Identifying the mode can help you understand your distribution.

Related

Related Articles:
  • Introduction to Bootstrapping in Statistics with an Example
  • Nominal, Ordinal, Interval, and Ratio Scales
  • A Statistical Thanksgiving: Global Income Distributions
  • Descriptive Statistics in Excel
  • Measures of Variability: Range, Interquartile Range, Variance, and Standard Deviation

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...

Buy My Introduction to Statistics Book!

Cover of my Introduction to Statistics: An Intuitive Guide ebook.

Buy My Hypothesis Testing Book!

Cover image of my Hypothesis Testing: An Intuitive Guide ebook.

Buy My Regression Book!

Cover for my ebook, Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models.

Subscribe by Email

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

    I won't send you spam. Unsubscribe at any time.

    Follow Me

    • FacebookFacebook
    • RSS FeedRSS Feed
    • TwitterTwitter

    Top Posts

    • How to Interpret P-values and Coefficients in Regression Analysis
    • How To Interpret R-squared in Regression Analysis
    • Mean, Median, and Mode: Measures of Central Tendency
    • Multicollinearity in Regression Analysis: Problems, Detection, and Solutions
    • How to Interpret the F-test of Overall Significance in Regression Analysis
    • Choosing the Correct Type of Regression Analysis
    • How to Find the P value: Process and Calculations
    • Interpreting Correlation Coefficients
    • How to do t-Tests in Excel
    • Z-table

    Recent Posts

    • Principal Component Analysis Guide & Example
    • Fishers Exact Test: Using & Interpreting
    • Percent Change: Formula and Calculation Steps
    • X and Y Axis in Graphs
    • Simpsons Paradox Explained
    • Covariates: Definition & Uses

    Recent Comments

    • Dave on Control Variables: Definition, Uses & Examples
    • Jim Frost on How High Does R-squared Need to Be?
    • Mark Solomons on How High Does R-squared Need to Be?
    • John Grenci on Normal Distribution in Statistics
    • Jim Frost on Normal Distribution in Statistics

    Copyright © 2023 · Jim Frost · Privacy Policy