Poisson for each observation Each Arrival is has a P value >0.05 which suggests that each days arrivals follow a Poisson Distribution
The average number of transactions in the 1 hour window is 88.83. Therefore it is reasonable to aggregate the results. There is not a statistically significant difference in the number of transactions due to day and week. Total versus Day Kruskal-Wallis Test on Total Day N Median Ave Rank Z Monday 5 86.00 12.4 -0.04 Tuesday 5 82.00 10.2 -0.82 Wednesday 5 94.00 16.1 1.28 Thursday 5 95.00 15.7 1.14 Friday 4 84.00 7.0 -1.70 Overall 24 12.5 H = 5.27 DF = 4 P = 0.261 H = 5.29 DF = 4 P = 0.259 (adjusted for ties) Implies there is not a statistically significant difference in number of transactions due to day Kruskal-Wallis Test: Total versus Week Kruskal-Wallis Test on Total Week N Median Ave Rank Z W1 5 83.00 7.6 -1.74 W2 5 90.00 11.4 -0.39 W3 5 86.00 12.7 0.07 W4 5 95.00 14.4 0.68 W5 4 95.50 17.4 1.51 Overall 24 12.5 H = 4.79 DF = 4 P = 0.310 H = 4.80 DF = 4 P = 0.308 (adjusted for ties) Implies there is not a statistically significant difference in number of transactions due to week Is the Variation Statistically Significant?. Characterizing the Arrivals(number of transactions. 
The data was processed in Minitab Software. The data was left and right truncated to only include arrivals into the store between 8 AM and 9 AM. This resulted in an anomalous measurements and it is omitted from the analysis Click Reset for the next customerĪrrive Wait in Line Order Drink Drink Delivered Wait For Drink To Order To Make To Drink Time StampĬollection Rutgers was sponsoring an event for High School Students. Data is automatically recorded with times measured in milliseconds 5. Click‟ Stop‟ when the customer receives their beverage or leaves the store. Click „Drink Ordered‟ when a customer if first speaks to the Starbucks Barista 4. Enter Identifying characteristic for the customer in textbox 3. On 1 of 12 timers in the Custom Application (multiple instances of the program can be run to allow for timers 13-24, 25-36 as needed) 2. 1- Barista operating the cash register 1- Barista operating the espresso bar 1- Barista delivering the drip coffee Standard Employee configuration consists of 3 Baristas. Home to Rutgers University and Johnson & Johnson. It has a population of 55,181 with a median household income of $36,080 Is a city in Middlesex County, New Jersey. #Cash register express manual error 053 plus#
50 states, plus the District of Columbia. 
Original name of company was Starbucks Coffee, Tea and Spices, later changed to Starbucks Coffee Company.
To determine the optimal system configuration to make either drip coffee or specialty drinks.To determine the optimal time to arrive between 8-9AM to minimize the expected time to receive a drink.Of receiving a beverage from the Starbucks location in New Brunswick NJ between 8 and 9 AM Monday –Friday in less than 5 minutes If they allocate more than the required time they have forgone other usages of the time. If an individual allocates less than the actual amount they are late to work. To purchase a Starbucks Beverage prior to the start of their work day and therefore must effectively approximate the total cycle time of obtaining their beverage. Measure the amount of time a customer waits in line and the total amount of time it takes for a customer to receive a drink.Starbucks in New Brunswick from ~07:45 AM to ~09:20 AM Monday through Friday for 5 weeks starting on March 18th 2013 until April 19th 2013 Than 5 Minutes? Brandon Theiss The Experiment
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