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Which of these statements is always true for a researcher who is using standard statistical
methods in a test of significance?
A. A researcher who rejects a true null hypothesis has committed a Type II error.
B. A researcher who rejects the null hypothesis has computed a test statistic that is negative
in value.
C. A researcher who rejects the null hypothesis has computed a P-value that is large in
D. Increasing the sample size affects the probability of making a Type I error.
E. None of the above is true.
I have been trying this problem for hours and cannot understand it. Please help

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