 Fast Food restaurants have been around since 1921 when the first White Castle opened.  First hamburger invented in 1916.  First drive-thru restaurant.

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Presentation transcript:

 Fast Food restaurants have been around since 1921 when the first White Castle opened.  First hamburger invented in  First drive-thru restaurant invented in  December 12, 1948 First McDonalds opened  Burger King open in the1950s and Wendy’s came along in 1969  Fast Food restaurants have been around since 1921 when the first White Castle opened.  First hamburger invented in  First drive-thru restaurant invented in  December 12, 1948 First McDonalds opened  Burger King open in the1950s and Wendy’s came along in 1969

 Picked a SRS of 3 types of each restaurant by using yellowpages.com  At each place we gathered 10 times from getting food inside and 10 from going through the drive thru.

 Burger King 1 › 60 Easton Rd Warrington, PA  Burger King 2 › 580 W Street Rd Warminster, PA  Burger King 3 › 560 N Main St Doylestown, PA  Chick-fil-A 1 › 160 Easton Rd Warrington, Pa  Chick-fil-A 2 › 4 West Road Newtown, PA  Chick-fil-A 3 › 2500 W Moreland Rd Willow Grove, PA  KFC 1 › 1865 Easton Rd Willow Grove, PA  KFC 2 › 490 N Main St Doylestown, PA  KFC 3 › 1719 N Broad St Lansdale, PA  Wendy’s 1 › 620 EASTON ROAD WARRINGTON, PA US  Wendy’s 2 › 400 N Main St Doylestown, PA  Wendy’s 3 › 755 York Rd Ste 204 Warminster, PA  McDonalds 1 › 2395 York Rd Jamison, PA  McDonalds 2 › 210 Inverness Cir Chalfont, PA  McDonalds 3 › 39 Doyle St Doylestown, PA 18901

Data for Going Inside

Name of Restaurant Time in Minutes Our Overall Average time(mins) McDonalds3:182:33 Burger King3:392:35 Wendy’s2:262:24 KFC3:332:30 Chick-Fli-A3:212:25

All Times

Drive Thru Times

Inside Times  Min = 1.04  Q1 = 1.29  Med = 2.10  Q3 = 2.53  Max = 3.54 Outside Times  Min = 1.01  Q1 = 1.59  Med = 2.25  Q3 = 2.50  Max = 3.56

Test 1- Mean difference testing whether the average drive thru time is equal to the average inside timeTest 1- Mean difference testing whether the average drive thru time is equal to the average inside time Test 2- Chi-Square Goodness of Fit test, Testing weather the average drive thru time found is equal to the national average for each restaurant visitedTest 2- Chi-Square Goodness of Fit test, Testing weather the average drive thru time found is equal to the national average for each restaurant visited

State 1. SRS 2. Norm pop or n d > 30 Check 1. Used yellowpages.com to find random restaurants >30(check)

Ho: µ d =0 Ha: µ d ≠ 0 T= x- µ = s/ n 2P(t > | df = 14 ) = *

 We reject ho in favor of Ha because the p-value of * is less then α =.05.  We have sufficient evidence that the average times of Inside times and Drive Thru times are not equal.

 X ± (t*)(s/ n) =( -.295,.62834)  We are 99% confident that the mean difference of Drive thru times and inside times is between and mins.

State 1. SRS 2. Large enough sample size so that all expected values counts > 5 Check 1. Used yellowpages.com to find random restaurants 2. check

Ho: the observed frequency distribution Of the average drive thru time fit the expected distribution Ha: the observed frequency distribution Of the average drive thru time doesn’t fit the expected distribution Χ²= Σ (obs. – exp.)2/exp. = ( )2 / ( )2 / … = = P(Χ² > |df = 4 ) =.8591

 We fail to reject Ho because the p-value of.8591 is greater then α =.05.  We have sufficient evidence that the observed frequency distribution Of the average drive thru time fit the expected distribution.

 ordering different things or amount in which you order  different time of day (how busy)  Number of people on shift  who serves you  timing not accurate(human error)

 The collection of data we did find somewhat difficult just because of the huge amount of data needed.  We started out by buy all the food ourselves but then reverted to just timing people b/c of costs.  Project was fun but challenging

 The Results for test one were not surprising  The results for test two were surprising either b.c. they fit with the national averages