• 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

Statistics

By Jim Frost

The field of statistics is the science of learning from data. When statistical principles are correctly applied, statistical analyses tend to produce accurate results. What’s more, the analyses even account for real-world uncertainty in order to calculate the probability of being incorrect.

Statisticians offer essential insight in determining which data, analyses, and conclusions are trustworthy. A statistician can be a study’s guide through a minefield of potential pitfalls, any of which could produce misleading conclusions.

Related

Related Articles:
  • How to Interpret P-values and Coefficients in Regression Analysis
  • How Hypothesis Tests Work: Significance Levels (Alpha) and P values
  • How To Interpret R-squared in Regression Analysis
  • Interpreting P values
  • Curve Fitting using Linear and Nonlinear Regression

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.

    Top Posts

    • How to Interpret P-values and Coefficients in Regression Analysis
    • F-table
    • How To Interpret R-squared in Regression Analysis
    • Z-table
    • How to do t-Tests in Excel
    • How to Find the P value: Process and Calculations
    • Weighted Average: Formula & Calculation Examples
    • Cronbach’s Alpha: Definition, Calculations & Example
    • T-Distribution Table of Critical Values
    • Multicollinearity in Regression Analysis: Problems, Detection, and Solutions

    Recent Posts

    • Longitudinal Study: Overview, Examples & Benefits
    • Correlation vs Causation: Understanding the Differences
    • One Way ANOVA Overview & Example
    • Observational Study vs Experiment with Examples
    • Goodness of Fit: Definition & Tests
    • Binomial Distribution Formula: Probability, Standard Deviation & Mean

    Recent Comments

    • Jim Frost on Joint Probability: Definition, Formula & Examples
    • Harmeet on Joint Probability: Definition, Formula & Examples
    • kafia on Cronbach’s Alpha: Definition, Calculations & Example
    • Jim Frost on How to Interpret P-values and Coefficients in Regression Analysis
    • Jim Frost on Convenience Sampling: Definition & Examples

    Copyright © 2023 · Jim Frost · Privacy Policy