Which of the following is not true in hypothesis testing? The smaller the p-value, the less evidence the data provide against the null hypothesis and in favor of the alternative hypothesis. The larger the p value, the less evidence the data provide against the null hypothesis and in favor of the alternative hypothesis. The smaller the p value, the more evidence the data provide against the null hypothesis and in favor of the alternative hypothesis. None of the above

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Mathematics

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6 August, 16:46

Which of the following is not true in hypothesis testing? The smaller the p-value, the less evidence the data provide against the null hypothesis and in favor of the alternative hypothesis. The larger the p value, the less evidence the data provide against the null hypothesis and in favor of the alternative hypothesis. The smaller the p value, the more evidence the data provide against the null hypothesis and in favor of the alternative hypothesis. None of the above

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Clark Hardin · Answer 1

The larger the p value, the less evidence the data provide against the null hypothesis and in favour of the alternative hypothesis

Step-by-step explanation:

P Value is the probability of obtaining extreme observed results in a statistical hypothesis test, assuming that null hypothesis is correct.

High p value implies evidence in favour of null hypothesis, against alternate hypothesis.

Low p value implies evidence against null hypothesis, in favour of alternate hypothesis

So, larger p value, more evidence the data provides in favour of null hypothesis & against alternate hypothesis.