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Arada [10]
3 years ago
8

g The p-value of a test is the probability of obtaining a result as or more extreme as the one obtained in the sample, assuming

the null hypothesis is false
Mathematics
1 answer:
Vladimir79 [104]3 years ago
4 0

Answer:

The <em>p</em>-value is well defined as per the probability, [under the null hypothesis (H₀)], of attaining a result equivalent to or more extreme than what was truly observed.

Step-by-step explanation:

The <em>p</em>-value is well defined as per the probability, [under the null hypothesis (H₀)], of attaining a result equivalent to or more extreme than what was truly observed.

We reject the null hypothesis if the <em>p</em>-value of a statistic is lower than the level of significance <em>α</em>.

And we fail to eject the null hypothesis if the <em>p</em>-value of a statistic is greater than the level of significance <em>α</em>.

A lower <em>p</em>-value indicates that the result is statistically significant.

And a higher <em>p</em>-value indicates that the result is not statistically significant.

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Answer:

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Step-by-step explanation:

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Ksivusya [100]
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duh
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Step-by-step explanation:

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