What is the simpliest  way to explain the following question to me so I can write an essay: Provide two scenarios: one where a Type I error occurs and another where a Type II error occurs. What factors influence the magnitude of risk for each of these and what practices might a researcher engage to minimize these risks? If the null hypothesis is incorrectly reported as significant, which type of error is occurring and what might the subsequent implications be? What conclusions, if any, can be drawn from such results?

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A: Researchers were interested in examining the impact poverty may have on self-perceptions of health.…

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A:

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A:

Q: Question 10

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Q: the null hypothesis as a result of the statistical testing, when in fact the null hypothesis is

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A: There is no such clear statement about choosing level of significance

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A: O E (O-E)^2 (O-E)^2/E 45 44 1 0.022727 32 33 1 0.030303 35 36 1 0.027778 28 27 1 0.037037

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A: Here we want to give conclusion when we reject null hypothesis.