Solution:
Its answer is B. i.e. No, because both involve comparing the test
statistic's probability with the level of significance.
because p-value method converts the standardised test statistic to
p-value and compare with level of significance alpha. while in
critical value method, level of significance converts into critical
value and compare with test stat. So both method will result in
same conclusion.
So its answer is B.
In hypothesis testing, does choosing between the critical value method or the P-value method affect your...
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In hypothesis testing, what is the difference between the critical value method and the P-value method? A. In the critical value method the calculated value of the test statistic is multiplied by two in order to find the P-value. B. In the P-value method the calculated value of the test statistic determines the cutoff between the rejection region and the non-rejection region, while the critical value is one-half of the P-value. C. In the critical value method the cutoff between...
Consider testing H0: p=0.1 versus H1: p<0.1. If the standardized critical value is -1.00 (i.e. the standardized rejection region is from negative infinity to -1.00) then what was the selected significance level (alpha)? (Answer as a probability, not a percent. Record your answer accurate to at least the nearest THIRD decimal place with standard rounding.)
The P-value for a hypothesis test is shown. Use the P-value to decide whether to reject H when the level of significance is (a) a= 0.01, (b) a 0.05, and (c) a0.10. P 0.0749 (a) Do you reject or fail to reject Ho at the 0.01 level of significance? O A. Reject H because the P-value, 0.0749, is greater than a=0.01 O B. Fail to reject Ho because the P-value, 0.0749, is less than a = 0.01 O C. Reject...
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