Assuming that the null hypothesis is true, then _________ is the probability of observing a value of the test statistic that is at least as

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Assuming that the null hypothesis is true, then _________ 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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Ariana 3 weeks 2021-10-03T16:00:22+00:00 1 Answer 0

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    2021-10-03T16:01:53+00:00

    Assuming that the null hypothesis is true, then p-Value  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:

    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.

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

    So ,we can state that- Assuming that the null hypothesis is true, then p-Value  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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45:7+7-4:2-5:5*4+35:2 =? ( )