# 1 Hypothesis testing

In the realm of business decision-making, data-driven approaches have become increasingly crucial. At the heart of this process lies hypothesis testing, a powerful statistical method that allows us to evaluate assumptions about population parameters based on sample data. This method provides a structured approach to making decisions about whether to reject these assumptions or not, offering a solid foundation for informed business choices.

Hypothesis testing serves a vital purpose in the business world. Its primary aim is to determine whether the observed data provides sufficient evidence to support or refute a specific claim about the population. This process is invaluable in various business applications, from evaluating the effectiveness of marketing strategies to assessing product quality. By employing hypothesis testing, business leaders can move beyond gut feelings and intuition, basing their decisions on rigorous statistical analysis.

OpenLearn - Data analysis: hypothesis testing
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