Hypothesis testing is a critical component of Six Sigma projects as it enables data-driven decision making and helps executives to make informed choices regarding process improvement initiatives. In this article, we will explore the concept of hypothesis testing and its implementation in Six Sigma projects.
What is Hypothesis Testing?
Hypothesis testing is a statistical technique used to investigate a claim about a population based on a subset of data. It involves making an educated guess about a population parameter (e.g., mean, proportion, or variance) and then testing it using sample data. The goal of hypothesis testing is to determine whether there is sufficient evidence to reject the null hypothesis in favor of the alternative hypothesis.
Types of Hypotheses
In hypothesis testing, there are two types of hypotheses: the null hypothesis (H0) and iso consulting services firm the alternative hypothesis (H1).
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