SaberSmart
  • Home
  • Blog
    • Throwback
  • Playoff Odds
    • MLB >
      • 2019 >
        • Total Playoff
        • Win Division
        • Win WildCard
        • Expected Wins
      • 2018 >
        • Total Playoff
        • Win Division
        • Win WildCard
        • Expected Wins
      • 2017 >
        • Total Playoff
        • Win Division
        • Win WildCard
        • Expected Wins
    • NBA >
      • 2018 >
        • Total Playoff
        • Expected Wins
      • 2017 >
        • Total Playoff
        • Expected Wins
  • About
    • Contact
    • Comment Policy

We've Joined Amazon Associates!

5/23/2017

Comments

 
Picture
Hello Readers!
 
Thank you so much for checking in with us. We just wanted to take the time in this short(er) post to update you all on a few changes to the site. First and foremost, we have moved to our own domain! You can now find us at sabersmartblog.com, and all previous links should forward you there. However, hosting and owning our own url and website does have some associated fees.
 
To offset these costs, SaberSmart has now partnered with Amazon.com as an Associate, and the system is remarkably simple:

Read More
Comments

Census or Sample? Extracting Data From Large Populations

5/22/2017

Comments

 
Picture
We all are aware that statistics is a tool for converting data into information. Consequently, without data, statistics is all but useless. But where then does data come from and how should it be gathered to ensure its accuracy and reliability? Is it representative of the population from which it was drawn? Today we tackle these issues arising from perhaps the most complicated data source, large populaces, e.g. a vast target population or database. When collecting this kind of data, the two most popular methods are via a census or sampling.

A census is the procedure of systematically acquiring and recording information about the members of a given population. Under this method, data is collected for each and every unit in the population, database, or even universe, for example every person, household, field, shop, factory etc.

Read More
Comments

DATAPOCALYPSE

5/14/2017

Comments

 
Picture
This week, we tackle a common question in today’s realm of Big Data. We all know that there are many systems and methods for collecting data, from web/text scraping, click monitoring, and financial data just to name a few. As a society filled with a rapidly growing amount of data and analytical problems, how do we know when you have enough data? Could there even be situations in which we might have too much data?

Read More
Comments

Why the Arizona Diamondbacks Should Invest in the Moose Population on Isle Royale

5/6/2017

Comments

 
Picture
Anyone who has taken an introduction to psychology, social sciences, or a statistics class has heard the old adage, “correlation does not imply causation.” This rule posits that just because two trends seem to fluctuate in tandem, this common variance is not enough to prove that they are meaningfully related to one another.

While this sounds nice enough on paper, it is easy to forget when a provocative headline like “Does This Ad Make Me Fat” tricks us into believing a scenario we wish to be true. It would be ideal if we could blame America’s obesity problem on a common annoyance surrounding us everyday, excessive advertising. ​

Read More
Comments

Data Visualization: Or How I Learned to Stop Rambling and Love The Graph

5/1/2017

Comments

 
Picture
Data can provide valuable insights through statistics and other methods of exploratory data analysis. However, there will indubitably come a time when successful communication of these findings become necessary. Graphs and charts provide a great way to communicate data, as well as a method to provide awareness on the stories they can tell. Unfortunately, there are too many incidents of graphs misrepresenting data and consequent conclusions. ​

Read More
Comments

    Archives

    August 2019
    July 2019
    January 2019
    October 2018
    September 2018
    August 2018
    July 2018
    June 2018
    April 2018
    February 2018
    December 2017
    November 2017
    October 2017
    September 2017
    August 2017
    July 2017
    June 2017
    May 2017
    April 2017
    March 2017
    February 2017
    January 2017
    December 2016

    Categories

    All
    Analytics
    Big Data
    Computer Science
    Economics
    Essay
    Football
    Gambling
    History
    Mathematics
    MLB Teams
    NBA Teams
    NFL Teams
    Philosophy
    Super Bowl
    Triple Crown
    World Series

    RSS Feed

    Follow @sabersmartblog
    Tweets by sabersmartblog
 Support this site by clicking through the banner below:
  • Home
  • Blog
    • Throwback
  • Playoff Odds
    • MLB >
      • 2019 >
        • Total Playoff
        • Win Division
        • Win WildCard
        • Expected Wins
      • 2018 >
        • Total Playoff
        • Win Division
        • Win WildCard
        • Expected Wins
      • 2017 >
        • Total Playoff
        • Win Division
        • Win WildCard
        • Expected Wins
    • NBA >
      • 2018 >
        • Total Playoff
        • Expected Wins
      • 2017 >
        • Total Playoff
        • Expected Wins
  • About
    • Contact
    • Comment Policy