Author Question: An airport official wants to prove that the p1 = proportion of delayed flights after a storm for ... (Read 423 times)

brutforce · **on:** Jul 24, 2018

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. Report your conclusion in terms of the two airlines.
a. The proportion of delayed flights for Airline A seems to be less than the proportion of delayed flights for Airline B.
b. The results are not statistically significant: there is not enough evidence to conclude that the proportion of delayed flights for Airline A is less than the proportion for Airline B.
c. The difference in proportions of delayed flights is at least 4.
d. The proportion of delayed flights after a storm for Airline A seems to be greater than the proportion of delayed flights after a storm for Airline B.

Question 2

The librarian of a small community library has compiled the number of people who visited the library and the respective number of checked-out books, and created the line chart shown below:

Interpret the chart, where the solid line is the number of visitors and the dashed line is the number of books checked-out.

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honnalora · **Reply #1 on:** Jul 24, 2018

Answer to Question 1

B

Answer to Question 2

The two lines track each other. This means as the number of visitors increase (or decrease) the number of books checked out increases (or decreases).