Hult EdTech Club
  • Overview
  • Club Activities
    • L3 Talks
    • EdTech Platform
    • Open Courseware
  • Membership and Roles
  • Frequently Asked Questions
  • Resources
    • Hult Library and Resources
      • Statista
      • Pitchbook
    • Shared Notes
      • Data Visualization
      • Finance
        • Bonds
        • Modern Portfolio
      • Economics
        • Efficiency Wage Theory
        • Consumer Surplus
        • Price Discrimination
        • Capturing Consumer Surplus
        • Reducing Marginal Costs
        • "Free" vs. free
        • Market of Lemons
        • Irrationality
        • Choice Architecture
      • Excel
        • Downloading Excel on your OSX
        • Excel Shortcuts for Mac and Windows
        • Data Analysis Pak on Excel for OSX
        • Office.com - Online Excel Data Analysis Pak
        • Generating Pivot Tables and Pie charts
        • Generating Descriptive Statistics
        • T-test with paired means
      • Languages
        • English
      • Presentation
        • How To Stop Using Filler Words
        • How to Introduce Yourself
        • Elevator Pitch
        • Pyramid Principle
      • R Programming
        • Installing R and R Studio for OSX
          • Common problems in R and R Studio
      • Statistics
        • Regression Analysis
          • Simple Linear Regression
          • Multiple Linear Regression
          • SSR, SSE, and SST
          • Standardized coefficients
        • One-hot encoding versus dummy encoding
        • ANOVA analysis
        • Interpreting box plots
        • Z-distributions, normal distributions
        • Sampling Distributions
        • Degrees of Freedom
        • Null and Alternate Hypotheses
        • Outliers in Boxplots
        • K-means clustering
        • Independent Variables with Correlation
      • Sustainability
      • Global Operations
      • Anki Flashcard Decks
    • Technologies
      • Anki Web App
      • Canvas
        • Canvas+ Extension
        • Canvas as Instructor / Teaching Assistant
      • Customized Problem Sets via ChatGPT
      • Excalidraw
      • Language Reactor
      • Mac OSX Keyboard Shortcuts
      • Scribe
      • Skim PDF (for OSX)
      • Tableau
        • Tableau Relationships vs. Join
      • Tools for Asynchronous Communications
      • Tradle
    • Learning Strategies
      • L3 Guides
        • L3 Feedback Guide
        • L3 Learner Guide
        • L3 Preparation Guide
      • Use a Dataset That Matters To You
      • Leverage AI in the areas you are not studying
      • Recommended Learning Tech Stack
    • Student Life
      • San Francisco
      • Accommodations Research
      • No Tax Filing (Form 8443)
      • Tax Filing (W-4, I-9)
      • California Franchise Tax Board
      • IRS
  • Research
    • Education
      • Presentation and Pitch Decks
      • Rapid Feedback Loop
      • Student Workload
    • Technology
    • AI
    • Entrepreneurship
      • Hult Mentorship Club with Vishal Sachar
    • Careers and Employment
      • 83 (b) Election
      • Cold outreach to hiring managers
      • LinkedIn Search Operators
      • Making good impressions
      • Requesting for Referrals
  • ABOUT
    • Vision
      • Goals for 2023-2027
    • Team
    • Onboarding
    • Incoming Hult Students
    • Contributing Guidelines
    • Partnerships
    • Privacy
Powered by GitBook
On this page

Was this helpful?

  1. Resources
  2. Shared Notes
  3. Statistics

Outliers in Boxplots

PreviousNull and Alternate HypothesesNextK-means clustering

Last updated 1 year ago

Was this helpful?

Reference

  • by Wikipedia - The five-number summary is a set of descriptive statistics that provides information about a dataset. It consists of the five most important sample percentiles: (1) the sample minimum (smallest observation), (2) the lower quartile or first quartile, (3) the median (the middle value), (4) the upper quartile or third quartile, (5) the sample maximum (largest observation).

  • by PennState

Five-number summary
Identifying Outliers: IQR method