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Determining the P-value of a statistical analysis

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Only three short Questions.

I've already formed the calculations for each test, but I need help answering what's highlighted in Red. Short explanation is fine.

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Solution Summary

This has three examples of understanding the p-value in statistical analysis and how to use it to determine statistical significance.

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For question 1, you are analyzing the p-value for your calculations. The p-value in statistical testing indicates the likelihood that you will obtain a test-statistic (t-test, z-test, etc) of at least an equal value. When the p-value is lower than the predetermined test statistic, the researcher can reject the null hypothesis. In this case you are likely looking for a 95% confidence, or a p-value of 5% (.05 or less) to reject the null hypothesis ...

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