I Scream,You Scream, We All Scream for Ice Cream! Sarah Beeson, Jill Hall, Sarah Regan Cold Stone Creamery Founded in 1988 in Tempe, Arizona Uses in-store made ice cream that is combined with mix-ins, candy, and other toppings to create a new flavor Open year round Ice cream parlor chain Maggie Moo’s Founded in 1989 in Kansas City, Kansas 136 Treateries in 43 US states, Singapore, and Puerto Rico Specializes in ice cream and other desserts Independently owned and operated franchise stores Our Topic We set out to compare Cold Stone and Maggie Moo’s We went to two Cold Stone’s (Warrington and Willow Grove) and two Maggie Moo’s’ (Warrington and Landsale) Observed and surveyed for subject’s gender, order, price paid, size, preference, and frequency visited Procedure Observed customers in two of each store from May 27- 31 Allowed customer to order and surveyed every third customer to ensure randomness Used data table to record information Exploratory Data Analysis Bar Graph of Frequency of Visits Seasonally is the most common ◦ With Sometimes close behind Frequently- 11.67% Sometimes- 31.67% Seasonally- 36.67% Almost Never- 20% Frequently is the least common ◦ Possibly due to ice cream being seen as a seasonal treat Gender and Flavor With the exception of coffee and chocolate, flavors are fairly evenly distributed between gender Conclude gender has no effect on flavor Cake Batter- 50% female, 50% male Chocolate- 70% female, 30% male Coffee- 80% female, 20% male Mint- 55.56% female, 44.44% male Specialty- 62.5% female, 37.5% male Strawberry- 40% female, 60% male Vanilla- 54.54% female, 45.46% male Store Preference Cold Stone and Maggie Moo’s preference is approximately evenly distributed between the two We conclude that the population is evenly split on favorite store Cold Stone- 51.67% Maggie Moo’s- 48.33% Size Small and Medium are approximately evenly distributed ◦ Large has a much smaller frequency Small- 40% Medium- 38.33% Large- 21.67% We conclude that the majority of the population orders small or medium Price Histogram is right skewed. It spreads from $3.25 to $6.75. The center is $4.81. There are gaps between $3.50 and slightly less than $4.25, slightly above $4.25 and $4.50, and between approximately $5.12 and $5.30. We conclude that the average price paid is around $4.80 ◦ Size and amount of toppings affect price Gender and Preference Preference for store is approximately evenly distributed by each gender We conclude that gender and preference are not dependent Cold Stone: male- 38.71% female- 61.29% Maggie Moo’s: male- 41.38% female- 58.62% Data Analysis GOF test for variety of flavors χ2 test of homogeneity to compare size χ2 test of independence for gender vs. store preferred χ2 x2 GOF Test for Variety of Flavors Hypotheses ◦ Ho: Observed distribution of flavors fits the expected distribution of flavors ◦ Ha: Observed distribution of flavors does not fit the expected distribution of flavors Flavor Frequency Flavor Frequency cake batter chocolate coffee 4 10 mint 5 cake batter chocolate coffee 8.5714 8.5714 8.5714 specialty strawberry vanilla 9 mint 8.5714 16 5 total 11 specialty strawberry vanilla 8.5714 8.5714 8.5714 60 total 60 x2 GOF Test for Variety of Flavors State Check Categorical data 2. SRS 3. All expected counts ≥ 5 1. 1. 2. 3. Flavor and frequency are both categorical Assumed representative 8.5714 ≥ 5 Conditions metx2 distribution x2 GOF test x2 GOF Test for Variety of Flavors 2 2 2 ( obs exp) ( 4 8 . 5714 ) ( 10 8 . 5714 ) 2 ... exp 8.5714 8.5714 x2= 12.8 p= .0463 df=59 We reject the Ho because the p-value of .0464 is less than alpha=.05 We have sufficient evidence that the observed distribution of flavors does not fit the expected distribution of flavors x2 Test for Homogeneity Hypotheses ◦ The distribution of sizes at Maggie Moo’s and Cold Stone is equal for Independence distribution of sizes at MaggieTest Moo’s and Cold Test ◦of The Combined Data First attribute (categorical): Size Stone is not equal Second attribute (categorical): Store_At Size large Store_At medium Row Summary small cold stone 1 (6.5) 6 (11.5) 23 (12.0) 30 maggie moo's 12 (6.5) 17 (11.5) 1 (12.0) 30 Column Summary First attribute: Size Number of categories: 3 Second attribute: Store_At 13 23 24 60 2 x Test for Homogeneity State 1. 2. 3. Check Categorical Data SRS All expected counts ≥ 5 Size and the store at are both categorical 2. Assumed representative 3. Counts are all above 5 1. Conditions metx2 distribution x2 test for homogeneity x2 Test for Homogeneity 2 2 2 ( obs exp) ( 1 6 . 5 ) ( 6 11 . 5 ) 2 ... exp 6.5 11.5 x2= 34.74 p= 2.8596x10-8 df= 2 We reject the Ho because the p-value of 2.8596x10-8 is less that alpha=.05. We have sufficient evidence that the distribution of sizes ordered at Cold Stone and Maggie Moo’s is not equal. x2 Test for Independence Hypotheses ◦ Gender and preference are independent of each other ◦ Gender and preference are Test dependent on each for Independence Test of Combined Data other First attribute (categorical): Preference Second attribute (categorical): Gender Preference cold stone Gender maggie moo's Row Summary female 19 (18.6) 17 (17.4) 36 male 12 (12.4) 12 (11.6) 24 Column Summary 31 29 60 x2 Test for Independence State 1. 2. 3. Check Categorical Data SRS All expected counts ≥ 5 1. 2. 3. Gender and preference are categorical Assumed representative Counts are all above 5 Conditions metx2 distribution x2 test for independence x2 Test for Independence 2 2 2 ( obs exp) ( 19 18 . 6 ) ( 17 17 . 4 ) 2 ... exp 18.6 17.4 x2= .04449 p= .83 df= 1 We fail to reject the Ho because the p-value of .83 is greater than alpha=.05. We have sufficient evidence that gender and preference for Cold Stone and Maggie Moo’s are dependent variables. Conclusions from Tests χ2 GOF test for variety of flavors ◦ Observed distribution of flavors does not fit the expected distribution of flavors χ2 test of homogeneity to compare size ◦ Distribution of sizes ordered at Cold Stone and Maggie Moo’s is not equal test of independence for gender vs. store preferred χ2 ◦ Gender and preference for Cold Stone and Maggie Moo’s are dependent variables Bias and Error Undercoverage ◦ Only surveyed 4 stores in the area; other areas may be different Time of day/ year ◦ Different times of day would get different responses Number of toppings ◦ Large numbers of toppings affect price Personal Opinions and Conclusions Preference for store was basically evenly distributed between subjects ◦ Preference broken down by gender was also even Project took a lot of time and effort ◦ More time would have allowed for better data collection