Hypothesis testing means proving or disproving an idea, theory, or hypothesis using data from high-quality sources.
Wonder’s clients often want to know if their hypothesis is true or false so they can develop a product or service to address a problem. Knowing if their hypothesis is valid can help them refine their idea or change directions.
Here are some example questions:
Use scientific papers, whitepapers, research studies, official surveys, scholarly (peer-reviewed) journals, and journal articles to find data for hypothesis testing.
Here are some databases and search engines to find these types of sources:
Use the following three-step approach to test the hypothesis:
If you could fully answer all aspects of the project, state the sources consulted in your research strategy.
If you made assumptions or performed triangulations or calculations, clearly state so in your research strategy.
<aside> ⚠️ Note: If it makes sense to provide the assumptions, triangulations, or calculations within the findings section, please do so, but briefly summarize the Research Strategy in its section. Here’s an example:
We calculated the number of millennial smartphone users in Europe using the percentage of millennial smartphone users and the total number of smartphone users. The calculations [or assumptions or triangulations, as applicable] have been provided above [or in the XYZ section of the report].
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