Question

Q:3
Which of the following is a true statement?
A The P-value of a test is the probability of obtaining a result as extreme as or more extreme than
the one obtained when assuming the null hypothesis is true.
B. If the P-value for a test is 0.014, the probability that the null hypothesis is true is 0.014.
C. When the null hypothesis is rejected, it is because the null hypothesis is not true.
D. A very large P-value provides convincing evidence that the null hypothesis is true.
E. The larger the P-value is, the greater the evidence of something statistically significant.
ment?​

Answer 1

Answer:

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Step-by-step explanation:

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