Other thoughts on the shape of the data distribution

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Please respond to peer, Include in your response:

Your own thoughts on possible sources of variation in the data

Thoughts on how much the data might vary

Whether or not you think the distribution of the data is symmetric

Other thoughts on the "shape" of the data distribution

Please respond to my classmate post below by answering the question above

Pamela Flynn-Kreisler

The most likely cause of variation for the spread of sales between the two is the location of the restaurants.   One is inland and in the mall, so weather does not affect the sales because it is big enough to have seating inside if too cold or too hot and outside if it is a beautiful day.  The other restaurant is across from the ocean and is frequented by the surfers and people going to the beach.

The other causes for such a wide variation would be the temperature and holidays.  The temperature because people go to the mall year round no matter the temperature.  The one across from the beach is not as busy during the colder months, so sales drop.  Holidays the malls are busy, so the restaurant in the mall will be busy, unlike the one near the ocean.   

The data I chose was the number of people exercising at Anytime Fitness each day of the week. I would expect the data to show which day of the week is the busiest and the least busy. I would expect the variation to differ during the weekdays and weekend.  I could see Monday being the busiest because after the weekend a person would like to start the week off right.  The least busy I could see being Friday because most people work and then it is the beginning of the weekend.

Reference no: EM132247053

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