Located in Warrington, PA Open for lunch and breakfast Sells: › Bagels, Sandwiches, Breads,...
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Transcript of Located in Warrington, PA Open for lunch and breakfast Sells: › Bagels, Sandwiches, Breads,...
Located in Warrington, PA Open for lunch and
breakfast Sells:
› Bagels, Sandwiches, Breads, Salads/Soups, and Beverages
Owners: › Lisa O’Boyle and Kathy
Braddish
Wanted to find out if food orders at Village Bagel had any association with…› Gender› Type of bagel› Here/to go› Breakfast/lunch› Time › Modifications› Toasted/not toasted
Collected food order tickets from Village Bagel over the course of three days
Separated the tickets by gender into two different bags Collected data from every fifth ticket that we pulled out of
each bag until we had 30 tickets for females and 31 tickets for males
Test of significance and interval:› 1-Sample T-Interval on average time of orders› Chi-Square Test for independence for toasted/not toasted
and bagel type› Chi-Square Test for independence for modifications and
gender› Chi-Square Test for independence for here/to go and
lunch/breakfast› 2 Sample T-Test for time VS. gender
1
2
3
4
5
6
7
8
9
time
01/05/20116:00 8:00 10:00 12:00 14:00 16:00
Collection 2 Histogram
This graph shows that our data was unimodal at 11:30 with a
symmetric shape and slight right skew. It has a gap at 13:00 and a spread of (6:30,14:30). Lastly, the
center of this graph lies around 9:30.
Over the course of three days the busiest
time of day was at 11:30
There were no customers at 13:00
There were the least amount of customers at
10:00 and 12:30 The amount of customers was the
most consistent from 13:30 to 14:30
Histogram for Time of Orders
Pie Chart for Types of Bagels
The most popular bagel was everything with 10 orders
The least popular bagels were egg and cinnamon raisin with one order each
There were 16 bagel flavors ordered out of the 22 types that are offered
Bar Chart for Types of Bagels
2
4
6
8
10
bagel_type
blue
berr
y
brea
d
ched
dar
cinn
amon
cran
berr
y or
ange eg
g
ever
ythi
ng
garli
c
harv
est w
heat
onio
n
plai
n
popp
y
sesa
me
swis
s
who
le g
rain
wra
p
count
Collection 2 Bar Chart
From our data the majority of customers would come into Village Bagel at 11:30
› This could vary on weekends VS. weekdays
Most customers would prefer their order to be on an everything bagel from the
popularity shown in the pie and bar chart
Conditions:› SRS› Normal
population or n ≥ 30
› Population ≥ 10n
Average Time of Orders
Check:› Assumed› n=61› There are more
than 610 time orders
All condition met Student’s T distribution1-Sample T-Interval
Average Time of Orders
)35:10,33:9( AMAMn
st
•We are 95% confident that the true average time of orders made at Village Bagel are
between 9:33 AM and 10:35 AM.•In reoccurring samples of the same size
(n=61), the true average time of orders will catch the interval 95% of the time.
Conditions:› Categorical Data› SRS› All expected cell
counts are ≥ 5
Independence for toasted/not toasted and bagel type
Check:› Yes, bagel type and
toasted/not toasted are categorical
› Assumed› All expected cell
counts are NOT ≥ 5› Although this
check doesn’t meet the requirement, we will still continue with the test
All condition met Chi-Square distributionChi-Square test for independence
Ho: There is no association between toasted/not toasted and bagel type
Ha: There is an association between toasted/not toasted and bagel type
Independence for toasted/not toasted and bagel type
exp
exp)( 22 obsx
7.
)7.1( 256.19...
2.2
)2.24( 2
19.0)1556.19( 2 dfxp
• We fail to reject the Ho because the p-value of .19 is greater than the alpha of 0.05.
• We have sufficient evidence that there is no association between toasted/not toasted and bagel type customers may
prefer to have a certain bagel flavor toasted.
Independence for toasted/not toasted and bagel type
toasted_or_not_toasted
0
2
4
6
8
N
2
4
6
8
T
bagel_type
blu
eberr
y
bre
ad
cheddar
cin
nam
on
cra
nberr
y o
range
egg
every
thin
g
garlic
harv
est w
heat
onio
n
pla
in
poppy
sesam
e
sw
iss
whole
gra
in
wra
p
count
Collection 2 Bar Chart
The most popular toasted item the everything bagel
The least popular toasted item was cinnamon raisin, whole grain, and wraps
The most popular not toasted item was bread
The least popular not toasted item cranberry orange, egg, and garlic
Independence for modifications and gender
Ho: There is no association between modifications and gender
Ha: There is an association between modifications and gender
Conditions:› Categorical Data› SRS› All expected cell
counts are ≥ 5
Check:› Yes,
modifications and gender are categorical
› Assumed› All expected cell
counts are ≥ 5All condition met Chi-Square distributionChi-Square test for independence
Independence for modifications and gender
exp
exp)( 22 obsx
2.18
)2.1817( 23936.0...
8.18
)8.1820( 2
53.0)13936.( 2 dfxp
• We fail to reject Ho because the p-value of 0.53 is greater than the alpha of 0.05
• We have sufficient evidence that there is no association between gender and modification.
•So, gender may not determine if customers modify their order.
The most popular was to not have any modifications for both males and females
There were more females that made modifications
Independence for modifications and gender
gender 0
4
8
12
16
20
F
4
8
12
16
20
M
modifications
N Y
count
Collection 2 Bar Chart
Independence for here/to go and lunch/breakfast
Ho: There is no association between here/to go and lunch/breakfast
Ha: There is an association between here/to go and lunch/breakfast
Conditions:› Categorical Data› SRS› All expected cell
counts are ≥ 5
Check:› Yes, here/to go
and lunch/breakfast are categorical
› Assumed› All expected cell
counts are ≥ 5All condition met Chi-Square distributionChi-square test for independence
Independence for here/to go and lunch/breakfast
exp
exp)( 22 obsx
6.19
)6.1921( 27019.0...
4.6
)4.65( 2
4.0)17019.0( 2 dfxp
• We fail to reject Ho because the p-value of 0.4 is greater than the alpha of 0.05
• We have sufficient evidence that there is no association between here/to go and lunch/breakfast.
For breakfast the majority of the customers took their order to go
For lunch the majority of the customers also took their order to go
The most common order was choosing to eat breakfast to go
The least common order was choosing to eat lunch at the restaurant
Independence for here/to go and lunch/breakfast
location
0
5
10
15
20
25
30
here
5
10
15
20
25
30
to go
lunch_or_breakfast
B L
count
Collection 2 Bar Chart
Time VS. Gender
Conditions:› 2 independent
SRS› 2 normal
population or n1 and n2 ≥ 30
› pop1 ≥ 10n1 and pop2 ≥ 10n2
Check:› Assumed
independent and random
› n1 and n2 ≥ 30› n1 = 30› n2 = 31
› More than 300 females and 310 malesAll condition met
Student’s T distribution2 sample T-Test
Ho: µ1 = µ2 Ha: µ1 ≠ µ2
Time VS. Gender
= 2.565
031.0)761.54565.2(2 2 dfxp
• We reject Ho because the p-value of 0.013 is less than the alpha of 0.05
• We have sufficient evidence that the average time of females and males orders are not equal.
Female: › There are 5
outliers› There is a median
at11:00› Minimum= 8:30› Maximum= 11:30
Males:› There are no
outliers› There is a median
at 9:00› Minimum= 7:00› Maximum= 15:00
FM
time
01/05/20116:00 7:00 8:00 9:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00
Collection 2 Box Plot
Time VS. Gender
Chi-Square Test for independence for toasted/not toasted and bagel type› There is no association between toasted/not toasted and bagel
type Chi-Square Test for independence for modifications and gender
› There is no association between gender and modification› Gender may not determine if customers modify their order
Chi-Square Test for independence for here/to go and lunch/breakfast› There is no association between here/to go and lunch/breakfast
2 Sample T-Test for time VS. gender› The average time of females and males orders are not equal
Tickets may get mixed up and be unsure of which gender ordered what
People may not care what type of bagel they get their sandwich on
May lose or have tickets thrown out by accident There may not be a large enough sample size to
come to accurate solutions Using only one Village Bagel Company restaurant Restricted to only people in the area Data could have been more accurate with a
larger sample size
Data:› Collecting data was easy because Chelsea
works at Village Bagel› Employees were willing to help us collect
tickets Project:
› Took a lot of time to put everything together
› Fun and enjoyable project