Intro to Business Analytics
The alternative hypothesis is a statement that suggests there is a significant effect or difference in a given scenario, opposing the null hypothesis, which claims no effect or difference exists. It serves as a critical component in statistical testing, where researchers aim to gather evidence to support this hypothesis against the null. Understanding the alternative hypothesis is essential for interpreting results from confidence interval estimations and hypothesis tests, as it guides researchers in assessing whether observed data reflects a true effect or simply random chance.
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