<?xml version="1.0"?>

 <rdf:Description xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <dc:title>Hypothesis testing : an intuitive guide for making data driven decisions /</dc:title>
  <dc:creator>
   Frost, Jim
  </dc:creator>
  <dc:type>text</dc:type>
  <dc:publisher>statisticsbyjim.com,</dc:publisher>
  <dc:date>2020</dc:date>
  <dc:language/>
  <dc:description>Hypothesis testing plays a crucial role in that process, whether you're in academia, making business decisions or in quality improvement. Without hypothesis, you risk drawing the wrong conclusions and making bad decisions. That can be costly, either in business dollars or for your reputation as an analyst or scientist.</dc:description>
  <dc:subject>Hypothesis</dc:subject>
  <dc:subject>Data Analys</dc:subject>
</rdf:Description>