he 49 students in a class at the university made blinded evaluations of pairs of cola drinks. For the 49 comparisons of Coke and Pepsi, Coke was preferred 29 times. The table shows results of using MINITAB to do large-sample analysis. Test of p = 0.50 vs. not = 0.50 X N Sample p 95.0% CI Z-Value P-Value 29 49 0.5918 (0.454, 0.729) 1.286 0.1985 In the population that this sample represents, what does the 95% confidence interval tell you that the test does not? (A) The 95% confidence interval tells us the range of plausible values, whereas the test merely tells us that 0.50 is plausible. (B) The probability that 0.50 is in between 0.454 and 0.729 is .95, whereas the probability that 0.50 is true is only 0.1985. (C) The test tells us how important the results are and interval gives a range of possible values. (D) The 95% confidence interval is computed from the sample proportion but the P-Value has nothing to do with the sample proportion. (E) They are equal in giving us important information about this study
he 49 students in a class at the university made blinded evaluations of pairs of cola drinks.
For the 49 comparisons of Coke and Pepsi, Coke was preferred 29 times. The table shows
results of using MINITAB to do large-sample analysis.
Test of p = 0.50 vs. not = 0.50
X N Sample p 95.0% CI Z-Value P-Value
29 49 0.5918 (0.454, 0.729) 1.286 0.1985
In the population that this sample represents, what does the 95% confidence interval tell you
that the test does not?
(A) The 95% confidence interval tells us the
tells us that 0.50 is plausible.
(B) The probability that 0.50 is in between 0.454 and 0.729 is .95, whereas the probability that
0.50 is true is only 0.1985.
(C) The test tells us how important the results are and interval gives a range of possible values.
(D) The 95% confidence interval is computed from the sample proportion but the P-Value has
nothing to do with the sample proportion.
(E) They are equal in giving us important information about this study
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