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
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 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

LinkedIn mines data for future job paths
What does IBM Watson mean for Decision Management and Analytics?
Condé Nast Portfolio Article
Planning for Predictive Models
Is Analytics “Different”?: 2 Lessons in Sales from The Mayflower Madam
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

ai driven task management
Reducing “Work About Work” with AI Task Managers
Artificial Intelligence Exclusive
data center uptime
Why Rodent-Resistant Conduits Are Critical for Data Center Uptime
Big Data Data Management Exclusive Risk Management
big data and AI
The Intersection of Big Data and AI in Project Management
Artificial Intelligence Big Data Exclusive
data migration risk prevention
Best Approach to Risk Management for Data Migration in Data-Driven Businesses
Big Data Data Management Exclusive Risk Management

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

predictive analytics capabilities of blockchain
AnalyticsBig DataBlockchainData ScienceExclusivePredictive Analytics

The Incredible Predictive Analytics Capabilities Of Blockchain

5 Min Read

Global Innovation Outlook Report: Water

1 Min Read

Consuming Output for Further Processing

9 Min Read

The World of Data [INFOGRAPHIC]

1 Min Read

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

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

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

Sign in to your account

Username or Email Address
Password

Lost your password?