Math 533 – Ams

AIMS I will be going over info provided about our customers based oftener location, Income coat, household size, years at current location, and the credit balance they hunt down with our company. Using statistical analysis we can learn more about our customers and hopefully use this education to provide better services to our customers in the future to keep them customers for life.In my analysis I will go over the following * Customer Location * Customer Income * Store Credit vestibular sense * Credit Balance Compared to Income Level Household Size Compared to Household Location * Household Size Compared to Income Level Where the customer lives, their Income direct and the balance they hold with the company are good Indicators of customer loyalty. Extending credit to our customers is a good organized religion way of us showing the customer that we want their business and are willing to take clip to pay off their purchases.Before I fully analyze the numbers I would assume that the greater the income take aim the more they are charging. They have the financial meaner to pay the monthly payments and can keep a spirited balance. Customer location is important because it can help tell us how often you sponsor the store. soul in an urban area might shop 4+ times a month, where someone in a rural area might only shop once a month. But the someone shopping 4+ times a month might be spending little than the individual living in the rural area who can only come once a month because of distance Issues.Credit balance compared to Income level shows us how much higher Income customers are spending. Comparing the household size to the location can give us a feel for where the families are living marred to the wiz parent or single person households are. You can use this kind of information to market and advance special sales as necessary. Finally household size compared to the income level will show us how much large families are spending and how often. This c an also be useful to market whopping sales.Customer Location The above representation is a pie chart which shows are clients demographic locations. Of the 50 customers used in our sampling the greatest numbers of our clients are In the Urban region, with the rural region being the least(prenominal) frequented. Of the sample we concluded that eve In an urban area live in a suburban area * 26% live in a rural area This is in my opinion an pass judgment outcome. The ability to come to our store is much greater for those living in suburban and urban areas because it is close-hauled to their proximity.While residents in the rural communities do frequent our stores they do so on a less frequent basis. Further investigation might be able to show that rural residents could possibly shop less frequently, but spend more per trip than someone in the urban area. Customer Income This simple keep out graph shows the income level in the $1,000