In testing a set of hypotheses, if we insist on strong evidence against the null hypothesis we should choose alpha(a) to be __________. Very large Very small Smaller than the p-value Larger than the p-value Smaller than the z statistic
@ybarrap
i found it never mind it;s larger than the pvalue
While testing a set of hypotheses, if the consequences of rejecting the null hypothesis are crucial, what should we do? Insist that the p-value be larger than the level of significance Construct a 95% confidence interval rather than test the hypotheses Insist that the p-value be smaller than the level of significance Use a very small level of significance Use a larger level of significance
If we want strong evidence against the null hypothesis, then that means to be able to reject the null hypothesis with high confidence, thus avoiding a false positive.
Alrighty thank you, but i need help on the question above please ^ .
A high standard for rejecting the null hypothesis means that you have a small level of significance. At this value, the critical t-value will be high.
C. thank you is there any explanation why this is?
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