In today’s data-driven world, you hear about making decisions based on data all the time. Hypothesis testing plays a crucial role in that process, whether you’re in academia, business, or data science. Without hypothesis tests, you risk making bad decisions.
Chances are high you’ll need to understand these tests to analyze your data and evaluate the work of others.
Build the knowledge for effective hypothesis testing! Know when to use each test, how to use them reliably, and how to interpret the results correctly!
Jim Frost has extensive experience using statistical analysis in academic research and consulting projects. He’s been performing statistical analysis on-the-job for over 20 years. For 10 of those years, he was at a statistical software company helping others make the most out of their data. Jim loves sharing the joy of statistics. To help with this process, he has his own website and writes a regular column for the American Society of Quality's Statistics Digest.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Jim Frost has extensive experience using statistical analysis in academic research and consulting projects. He's been performing statistical analysis on-the-job for over 20 years. For 10 of those years, he was at a statistical software company helping others make the most out of their data. Jim loves sharing the joy of statistics. In addition to writing books, he has his own statistics website and writes a regular column for the American Society of Quality's Statistics Digest. Find him online at statisticsbyjim.com.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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