Use the following information for questions:
An airport official wants to prove that the p₁ = proportion of delayed flights after a storm for Airline A is less than p₂ = the proportion of delayed flights for Airline B. Random samples from two airlines after a storm showed that 51 out of 200 of Airline A's flights were delayed, and 60 out of 200 of Airline B's flights were delayed.
-For a significance level of $\alpha$ = 0.05, are the results statistically significant?

Question

Use the following information for questions: An airport official wants to prove that the p 1 = proportion of delayed flights after a storm for Airline A is less than p 2 = the proportion of delayed flights for Airline B. Random samples from two airlines after a storm showed that 51 out of 200 of Airline A's flights were delayed, and 60 out of 200 of Airline B's flights were delayed. -For a significance level of $\alpha$= 0.05, are the results statistically significant? A) No, the results are not statistically significant because the p-value < 0.05. B) Yes, the results are statistically significant because the p-value < 0.05. C) No, the results are not statistically significant because the p-value > 0.05 D) Yes, the results are statistically significant because the p-value > 0.05.

Quizplus · Accepted Answer

The correct interpretation of statistical significance involves comparing the p-value to the significance level ($\alpha$). If the p-value is greater than $\alpha$, the results are not considered statistically significant, indicating that there is not enough evidence to support the claim that the proportion of delayed flights for Airline A is less than that for Airline B.

Use the Following Information for Questions: an Airport Official α\alphaα

Use the Following Information for Questions:
an Airport Official $\alpha$