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Murrr4er [49]
3 years ago
10

50 points for this helpppp plzz

Mathematics
2 answers:
Grace [21]3 years ago
7 0

Answer:

srry I needed the points hope u don\t mind

Step-by-step explanation:

maxonik [38]3 years ago
5 0

Answer:

ok

Step-by-step explanation:

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Step-by-step explanation:

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Step-by-step explanation:

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vladimir2022 [97]

Assuming that the null hypothesis is true, then<u> p-Value</u>  is the probability of observing a value of the test statistic that is at least as extreme as the value actually computed from the sample data.

Step-by-step explanation:

<u>The p-value is the probability that a random sample that is selected produces as the  value of the test statistic is  at least as extreme as the observed value when H0 is true.</u>

<u>The p-value as measure of how surprising our result is if the null hypothesis is true.</u>

So ,we can state that- Assuming that the null hypothesis is true, then<u> p-Value</u>  is the probability of observing a value of the test statistic that is at least as extreme as the value actually computed from the sample data.

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