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21.Hypothesis Testing (Categories (Comparing a statistic to a hypothesis…
21.Hypothesis Testing
Categories
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Answering the question whether something changed within the data, often after a team has modified an input or other part of the process. In the case of most Six Sigma projects, the team probably wants to find out whether the process or outcome is improved.
Testing whether the data you have fits a data model. In Chapter 18, we conducted a hypothesis test to determine whether data fit the normal curve. We used the Chi-Squared Goodness-of-Fit Test, but ultimately, it was a hypothesis test.
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Types
The null hypothesis is abbreviated as H0 and is usually a statement about the data that reflects no effect or no difference. In chapter 18, we hypothesized that our data was normal. In effect, we were saying “there is no statistical difference between the distribution of our data and the distribution of data on a normal curve.”
The alternative hypothesis is abbreviated as Ha and is usually a statement that is likely to be true if the null hypothesis is not true. In chapter 18, the alternative hypothesis was “there is a statistical difference between the distribution of our data and the distribution of data on a normal curve.” In short, if we reject the null hypothesis, we accept the alternative hypothesis – in this case, that our data is not normal.
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