Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: How a highly-variable point estimate becomes a headline
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > How a highly-variable point estimate becomes a headline
Data MiningPredictive Analytics

How a highly-variable point estimate becomes a headline

DavidMSmith
DavidMSmith
1 Min Read
SHARE

The media were jubilant earlier this week that an economic indicator was finally good news. “Wall Street resumes rally following housing report”, said the Associated Press. Housing starts had surged 22%, it seems. It seems less dramatic when you realize the standard error of that estimate was 13.8%, and the statistic itself is highly variable with time. Junk Charts has the details. Junk Charts: Disseminating junk

The media were jubilant earlier this week that an economic indicator was finally good news. "Wall Street resumes rally following housing report", said the Associated Press. Housing starts had surged 22%, it seems. It seems less dramatic when you realize the standard error of that estimate was 13.8%, and the statistic itself is highly variable with time. Junk Charts has the details.

Junk Charts: Disseminating junk

More Read

PAW: New Challenges for Developing Predictive Analytics Solutions
In a Petabyte Age, Is Understanding Passé?
5 Big Data Hadoop Use Cases for Retail
The election in Iran and some real data analysis
Keeping Singapore Green with Data and Design
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

ai kids and their parents
How Cities Use AI to Improve Playground Design
Exclusive News
human resource data
The Integration of Employee Experience with Enterprise Data Tools
Big Data Exclusive
protecting patient data
How to Protect Psychotherapy Data in a Digital Practice
Big Data Exclusive Security
data analytics
How Data Analytics Can Help You Construct A Financial Weather Map
Analytics Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

AOL Advertising on the Need for Speed in Yield Optimization

6 Min Read

PAW: Completing the visitor targeting cycle

5 Min Read

Check out this new technology article portal

1 Min Read

Images from “Contact lenses with circuits, lights a…

0 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?