In hypothesis testing, the tentative assumption about the population parameter is that the null hypothesis a.) is true b.) none of these alternatives is correct c.) maybe true or false d.) is false
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This assumption is called the null hypothesis. We then collect and analyze sample data to test this assumption. If the sample data provides strong evidence against the null hypothesis, we reject it in favor of an alternative hypothesis. If the sample data does not Show more…
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