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Customer Satisfaction

Customer Satisfaction. Jenn , Michelle, and Sovay. Staples, Target, and Shoprite. All are corporate chain stores that hire teenagers as cashiers. Staples sells office supplies and technology needs, Shoprite sells groceries, and Target sells pretty much everything.

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Customer Satisfaction

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  1. Customer Satisfaction Jenn, Michelle, and Sovay

  2. Staples, Target, and Shoprite • All are corporate chain stores that hire teenagers as cashiers. • Staples sells office supplies and technology needs, Shoprite sells groceries, and Target sells pretty much everything. • So, which store is the busiest? Which gets the most customers? Who has the happiest customers? And why are all their logos red?

  3. Procedure • All three of us are weekend cashiers, so we took our samples from the three stores (Staples, Target, Shoprite) during our Friday, Saturday, and Sunday work hours • We took a sample of every five customers at each store (a perfect random sampling was impossible) and wrote down their type (male, female, couple, family, family with kids), their total for their purchase (to the nearest five), and the mood of the customer (1 being angry, 2 being slight bad mood, 3 being neutral, 4 being slight good mood, 5 being smiling, cheerful and upbeat) • We also took a tally of the number of customers we rang out during an hour for five different random hours.

  4. Background on Topic • Shoprite and Target and Staples all have slightly different customer service techniques • Shoprite • Target • Staples

  5. Type of Customer

  6. Total of Purchases

  7. Mood of Customers

  8. Customers Per Hour

  9. Two Proportion Z-test 1

  10. Continued

  11. Two Proportion Z-interval 1

  12. Two Proportion Z-test 2

  13. Two Proportion Z-interval 2

  14. One Sample T-test

  15. One Sample T-interval

  16. Application to Population • Nearly everyone is a customer sometimes and has visited a grocery, office supply, or all-purpose store • People can use this data to help them be more conscious of their moods and experiences at these stores • This data also tells people about spending habits in our area and how they match up to the rest of the population

  17. Bias/Error • Our own mood may have effected the mood of the customer • The totals of the customers are affected by whatever sales are running in the stores at the time • We were only able to take a sample of one weekend, as opposed to many weekends • Number of cashiers

  18. Personal Opinions/Conclusions • As cashiers, we all know that customers can have just as much of an effect on us as we can have on customers. A really nice customer can make us smile, while a nasty or rude customer can put us in a bad mood.

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