This week\'s discussion surrounds an example of how one industry used statistics

Question

This week's discussion surrounds an example of how one industry used statistics to make important analytics decisions about how it best served its customers:

In the 1960s, data were collected on the weights of people to determine the safe passenger capacity of aircraft. Using a random sample the mean weight was found to be 166.3 lbs.

In recent decades, the mean weight of the population has increased considerably, so we need to update our estimate of that mean.

Recently, a simple random sample of the weights of n = 40 people was collected and found to have a mean of = 172.55 lb.

How could these data be used to impact airline passengers' experiences? Consider areas such as ticket purchasing, cost, safety, customer service, or any other area that may come to mind.

Explanation / Answer

See here mean weight of the people in the year 1960 as the 166.3 lbs. The mean weight of the population increased considerably and recently it is observed as 172.55 lb so with increase in mean weight, the airlines should ask for extra pay to accomodate the passenger on the tim eof ticket purchasing. But in any case, if it is not done, the customer service might be informed so that additional seat is provided during departure per availability.

If either of the cases, cost should be payed by the custome for availing the advantage. If neither case is followed, the passenger should bump into other flight, but not be allowed to fly without following the safety guidelines. The safety includes that seat belt should be fastened properly, without discomfort, and the passengers should be seated with seat armrests down throughout the flight and should not encroach into other passengers' seat.

If any of theses conditions are not met, customers should contact immediately the customer service and ask for additional arrangement.

Hope this will be helpful. Thanks and God Bless you :-)

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