Hypothesis Testing

G. Fisher, John E. Wisneski, R. Bakker
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Abstract

The purpose of hypothesis testing is to provide the decision maker with an efficient mechanism for reducing uncertainty using an inferential procedure to test the credibility of a potential solution to a strategic challenge. This is done by choosing an initial hypothesis about how to solve a problem and limiting data collection and analysis to those data that either defend or reject this hypothesis. This can be far more efficient than traditional methods of collecting data without purpose and deducing solutions by analyzing relevant data and eliminating irrelevant data along the way. This chapter discusses the underlying theory, core idea, depiction, process, insight or value created, and risks and limitations of hypothesis testing. The chapter also continues the illustration of the DISH Network and applies the steps of hypothesis testing to this case.
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假设检验
假设检验的目的是为决策者提供一种有效的机制来减少不确定性,使用推理程序来测试潜在解决方案对战略挑战的可信度。这是通过选择一个关于如何解决问题的初始假设,并将数据收集和分析限制在那些支持或拒绝该假设的数据中来完成的。这比传统的无目的收集数据,并通过分析相关数据和消除不相关数据来推导解决方案的方法要有效得多。本章讨论了假设检验的基本理论、核心思想、描述、过程、洞察力或创造的价值,以及风险和局限性。本章还继续说明DISH网络,并将假设检验的步骤应用于本案例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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