Question 2 6 pts Airline on-time data for all flights arrriving and departing New York City was collected during 2013. For this question you will be given a link to iNZight Lite with a random sample of 100 flights that were operated by two different airlines (name): American Airlines Inc. and ExpressJet Airlines Inc.. Two additional variables in your dataset are: • • arr_delay: The number of minutes the flight's arrival was delayed (negative times means it arrived early, or before schedule) dep_delayed: The status of the flight's departure (early or on time, late) Load the sample dataset into iNZight Lite using this link (https://lite.docker.stat.auckland.ac.nz/? url=https://csv.monster/temp/rntm655a82267b634.csv&land=visualize) to complete the blanks in the following statements. Pay careful attention to the rounding specified for any answers calculated from data. If a researcher was interested in confirming whether the status of most flights departing New York City were early or on time, they would need to carry out a test involving a (enter mean or proportion). The null hypothesis for this test would be that % of flights are early or on time. The observed proportion for your sample data is which is % (round to 1 d.p.), (enter higher or lower) than the null/hypothesised value, but a statistical test is needed to confirm that the discrepancy between the observed proportion and the null/hypothesised value is larger than what 'just chance' could produce. If a researcher was interested in confirming that for all flights, the mean arrival delay for American Airlines Inc. was higher or lower than the mean arrival delay for ExpressJet Airlines Inc., they would need to carry out a test involving the difference of two (enter means or proportions). The null hypothesis for this test would be that the true/underlying mean arrival delay for ExpressJet Airlines Inc. is American Airlines Inc.. as the true/underlying mean arrival delay for Carry out a two sample t-test using the variables arr_delay and name, a null/hypothesised value of and a two-sided alternative hypothesis. (round to 3 d.p.), with (enter higher or lower) mean. The observed difference for your sample data is American Airlines Inc. having the The p-value is (round to 4 d.p. or enter <0.0001 if the p-value is very small). This makes sense as (enter all or not all) of the differences in the confidence interval are negative.