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Data analysis: hypothesis testing
Data analysis: hypothesis testing

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The purpose of this course was to discuss hypotheses testing. Through the activities, you have gained a better understanding of the concept of alpha (α). You have learned the difference between a one-tailed test and a two-tailed test. Additionally, you have learned how to calculate z-scores and p-values as well as how to use them to determine whether null hypotheses should be accepted or rejected. Finally, the end of this course helped you gain an understanding of how to conduct hypothesis testing for population proportions.

A second OpenLearn course on data analysis, Data analysis: visualisations in Excel [Tip: hold Ctrl and click a link to open it in a new tab. (Hide tip)] , is now also available should you wish to take your studies further.

This OpenLearn course is an adapted extract from the Open University course B126 Business data analytics and decision making.