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If and and p -value then we reject
Null hypotheses

Ask by Bob Weaver. in Saudi Arabia
Mar 23,2025

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We do not reject the null hypothesis.

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In hypothesis testing, a p-value represents the probability of observing the data given that the null hypothesis is true. Here, with a p-value of 0.425, which is significantly higher than the significance level , we do not have enough evidence to reject the null hypothesis. In fact, we would fail to reject since 0.425 is greater than 0.01, meaning we observe a result that is consistent with the null hypothesis.
It’s always crucial to remember that failing to reject the null hypothesis doesn’t prove it is true; we simply lack strong evidence against it based on our data. So, while the null remains standing, it’s an opportunity to conduct further tests or gather more insightful data to refine our conclusions!

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\begin{tabular}{l} ter 13 Review \\ \( 1 \leftarrow \quad \begin{array}{l}\text { A Morning Consult/Politico poll of } 1997 \text { registered voters in July } 2020 \text { asked a standard polling question of whether the United States was headed in the "Right Direction" or } \\ \text { was on the "Wrong Track." } 75.3 \% \text { said that things are on the wrong track vs. } 24.7 \% \text { who said "right direction." Complete parts a and b. } 51.35 \%, 19 \text { of } 37 \text { points } \\ \text { Part } 1 \text { of 2 }\end{array} \) \\ \( \begin{array}{l}\text { a) Calculate the margin of error for the proportion of all U.S. adults who think things are on the wrong track for } 99 \% \text { confidence. } \\ \text { ME }=\square \text { (Round to three decimal places as needed.) }\end{array} \) \\ \hline\end{tabular}

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