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What Every Researcher Should Know About Statistical Significance
Article
November, 2010
Survey researchers use significance testing as an aid in expressing the reliability of survey results. We use phrases such as "significantly different," "margin of error," and "confidence levels" to help describe and make comparisons when analyzing data. The purpose of this article is to foster a better understanding of the underlying principles behind the statistics.
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Read more » Read more »![[Webinar] How the Trend of "Sleep Quality" is Impacting Various Categories in Unexpected Ways.](/images/library/AdobeStock_196948854_pp2575178637080243218263198.jpg)
[Webinar] How the Trend of "Sleep Quality" is Impacting Various Categories in Unexpected Ways.
Real-Time Auto “Shopping Intender Preference” Data in Analytics Applications
Case study February, 2017
A multinational auto OEM headquartered in the US sought to benefit from the valuable perspect ...
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The Boston Beer Company Increases Efficiency of its Market Research Function
Case study September, 2015
Of the nearly more than 400 employees at Boston Beer, only a few manage the consumer research ...
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