Cumberlands Innovation at International Foods Case Study Discussion Read the Innovation at International Foods Case Study on pages 234-238 in the textbook.

Cumberlands Innovation at International Foods Case Study Discussion Read the Innovation at International Foods Case Study on pages 234-238 in the textbook. Answer the Discussion Questions at the end of the Case Study.Your responses must be complete, detailed and in APA format. All work must be 1 FULL page, single spaced, 12 font Times New Roman. The cover and reference page must be on separate pages. Please DO NOT include the question in your work as only your findings should be submitted. Student Status
Cumulative
Percent
Frequency
Percent
Valid Percent
Valid
Part-time
6
4.5
4.5
4.5
Full-time
127
95.5
95.5
100.0
Total
133
100.0
100.0
Employment Status
Cumulative
Percent
Frequency
Percent
Valid Percent
Valid
43
32.3
32.6
32.6
Not Employed
Seasonal
8
6.0
6.1
38.6
Part-time
56
42.1
42.4
81.1
Full-time
24
18.0
18.2
99.2
99.00
1
.8
.8
100.0
Total
132
99.2
100.0
Missing
System
1
.8
Total
133
100.0
Do you live on campus or commute?
Cumulative
Percent
Frequency
Percent
Valid Percent
Valid
Live on Campus
46
34.6
34.6
34.6
Commute
87
65.4
65.4
100.0
Total
133
100.0
100.0
Page 2
FREQUENCIES VARIABLES=YearinSchool Ethnicity Gender StudStat EmplStat Commutes
tatus
/ORDER=ANALYSIS.
Frequencies
Statistics
Are students
freshmen or
seniors
Employment
Status
Do you live on
campus or
commute?
Ethnicity
Gender
Student Status
N
Valid
133
131
133
133
132
133
Missing
0
2
0
0
1
0
Frequency Table
Are students freshmen or seniors
Cumulative
Percent
Frequency
Percent
Valid Percent
Valid
Freshman
66
49.6
49.6
49.6
Seniors
67
50.4
50.4
100.0
Total
133
100.0
100.0
Ethnicity
Cumulative
Percent
Frequency
Percent
Valid Percent
Valid
African American
119
89.5
90.8
90.8
Caucasian
1.5
1.5
92.4
2.3
2.3
94.7
Hispanic
Biracial
ω ω ω Ν
2.3
2.3
96.9
Multi-Racial
2.3
2.3
99.2
Other
1
.8
.8
100.0
Total
131
98.5
100.0
Missing
System
2
1.5
Total
133
100.0
Gender
Cumulative
Percent
Frequency
Percent
Valid Percent
Valid
Male
49
36.8
36.8
36.8
Female
84
63.2
63.2
100.0
Total
133
100.0
100.0
Page
ONEWAY Attention Prob BY AnxietyLevels
/MISSING ANALYSIS
/ POSTHOC=SCHEFFE ALPHA (0.05).
Oneway
ANOVA
Attention Problems
Sum of
Squares
df
Mean Square
F
Sig.
5210.654
2
2605.327
32.291
.000
Between Groups
Within Groups
9359.312
116
80.684
Total
14569.966
118
Post Hoc Tests
Multiple Comparisons
Dependent Variable: Attention Problems
Scheffe
95% Confidence Interval
Mean
Difference (1-3)
Std. Error
Sig.
Lower Bound
Upper Bound
(1) NewAnx
normal
(J) NewAnx
at risk
*
-13.66883
2.65626
.000
-20.2556
-7.0821
clin significant
-19.19330
2.86080
.000
-26.2872
-12.0994
*
normal
13.66883
at risk
2.65626
7.0821
.000
20.2556
clin significant
-5.52448
3.67985
.328
-14.6494
3.6004
*
normal
19.19330
clin significant
2.86080
12.0994
.000
26.2872
at risk
5.52448
3.67985
.328
-3.6004
14.6494
*. The mean difference is significant at the 0.05 level.
Homogeneous Subsets
Page 1
Attention Problems
Scheffe ab
Subset for alpha = 0.05
1
2
NewAnx
N
normal
95
47.7158
at risk
13
61.3846
clin significant
11
66.9091
Sig.
1.000
.208
Means for groups in homogeneous subsets are
displayed
a. Uses Harmonic Mean Sample Size = 16.820.
b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not
guaranteed.
Page 2
GET
FILE=’C:Usersolewis-jack DownloadsFall2018 Seminar Data 4 (7).sav’.
DATASET NAME Data Seti WINDOW=FRONT.
CORRELATIONS
/VARIABLES=Anxiety Attention Prob
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE.
Correlations
[DataSeti] C:Usersolewis-jackDownloadsFall2018 Seminar Data 4
Correlations
Attention
Problems
Anxiety
**
Anxiety
Pearson Correlation
1
.651
Sig. (2-tailed)
.000
N
119
119
**
Attention Problems
Pearson Correlation
.651
1
Sig. (2-tailed)
.000
N
119
119
**. Correlation is significant at the 0.01 level (2-tailed).
Page 1

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