Data Analysis using SPSS
Name
Section
Roll Number
Yashi Sharma
A
2020MBA056
Q1. Draw a bar chart of the number of students from various states of India in your batch.
Frequencies
Statistics
State of students
N
Valid
124
Missing
30
State of students
Cumulative
Frequency
Valid
Andhra Pradesh
Percent
Valid Percent
Percent
10
6.5
8.1
8.1
Bihar
5
3.2
4.0
12.1
Chhattisgarh
5
3.2
4.0
16.1
Delhi
4
2.6
3.2
19.4
Diu
1
.6
.8
20.2
Goa
1
.6
.8
21.0
Gujarat
5
3.2
4.0
25.0
Haryana
5
3.2
4.0
29.0
Himachal Pradesh
1
.6
.8
29.8
Jharkhand
1
.6
.8
30.6
Karnataka
2
1.3
1.6
32.3
Kerala
5
3.2
4.0
36.3
Madhya Pradesh
11
7.1
8.9
45.2
Maharashtra
23
14.9
18.5
63.7
Odisha
6
3.9
4.8
68.5
Rajasthan
3
1.9
2.4
71.0
Tamil Nadu
6
3.9
4.8
75.8
Telangana
6
3.9
4.8
80.6
16
10.4
12.9
93.5
1
.6
.8
94.4
Uttar Pradesh
Uttarakhand
West Bengal
Missing
Total
7
4.5
5.6
Total
124
80.5
100.0
22.00
30
19.5
154
100.0
Q2. Compare the weight, height, and age of boys and girls in your batch.
H0 = Weight of boys and girls are statistically equal
H1 = Weight of boys and girls are statistically not equal
100.0
An independent-samples t-test was conducted to compare the weights of male and female in
the batch.
The 93 participants’ weight who were male (M = 72.962, SD = 10.9877) compared to the 61
participants’ weight who were female in the group (M = 60.436, SD = 8.8015) demonstrated
significant difference, t(152) = 7.468, p = .000.
H0 = Height of boys and girls are statistically equal
H1 = Height of boys and girls are statistically not equal
An independent-samples t-test was conducted to compare the heights of male and female in
the batch.
The 92 participants’ height who were male (M = 174.40087, SD = 7.260051) compared to the 61
participants’ height who were female in the group (M = 160.94580, SD = 7.211401)
demonstrated significant difference, t(151) = 11.254, p = .000.
H0 = Age of boys and girls are statistically equal
H1 = Age of boys and girls are statistically not equal
An independent-samples t-test was conducted to compare the age of male and female in the
batch.
The 92 participants’ age who were male (M = 24.30, SD = 1.656) compared to the 60
participants’ age who were female in the group (M = 23.47, SD = 1.882) demonstrated
significant difference, t(150) = 2.888, p = .004.
Q3. Compare the Willingness to Pay (WTP) for the Nike branded shoes and WTP of non-
branded shoes in the experimental study conducted in the class.
H0 = Willingness to Pay (Treatment) for Nike branded shoes and Willingness to Pay (Control) for
non-branded shoes are statistically equal
H1 = Willingness to Pay (Treatment) for Nike branded shoes and Willingness to Pay (Control) for
non-branded shoes are statistically different
An independent-samples t-test was conducted to compare the Willingness to Pay for branded
Nike shoes and non-branded shoes.
There was not a significant difference in the Willingness to Pay for branded Nike shoes (M =
1991.5325, SD = 1141.37487) and Willingness to pay for non-branded shoes (M =
1663.6579, SD = 1024.97450) conditions; t(151) = 1.869, p = .064.
Q4.
Compare the weight, height, and age of students in the three sections of your batch.
H0 = There is no significant difference in the means of weight of students among the three
sections of the batch
H1 = There is significant difference in the means of weight of students among the three sections of
the batch
A one-way ANOVA was conducted to compare the weights of students in different sections of
the batch.
There was not a significant effect of sections on weight at the p>.05 level for the three
conditions [F(2,151) = 0.804, p =0.450]
H0 = There is no significant difference in the means of height of students among the three
sections of the batch
H1 = There is significant difference in the means of height of students among the three sections
of the batch
A one-way ANOVA was conducted to compare the heights of students in different sections of
the batch.
There was not a significant effect of sections on height at the p>.05 level for the three
conditions [F(2,150) = 1.961, p =0.144]
H0 = There is no significant difference in the means of age of students among the three sections of
the batch
H1 = There is significant difference in the means of age of students among the three sections of
the batch
Oneway
Descriptives
Age
95% Confidence Interval for
Mean
N
Mean
Std. Deviation
Std. Error
Lower Bound
Upper Bound
Minimum
Maximum
A
48
23.67
1.742
.251
23.16
24.17
21
28
B
51
23.90
1.758
.246
23.41
24.40
20
28
C
53
24.32
1.837
.252
23.81
24.83
20
29
152
23.97
1.790
.145
23.69
24.26
20
29
Total
Tests of Homogeneity of Variances
Levene Statistic
Age
df1
df2
Sig.
Based on Mean
.110
2
149
.896
Based on Median
.072
2
149
.931
Based on Median and with
.072
2
148.047
.931
.108
2
149
.898
adjusted df
Based on trimmed mean
ANOVA
Age
Sum of Squares
Between Groups
df
Mean Square
11.171
2
5.586
Within Groups
472.724
149
3.173
Total
483.895
151
F
1.761
Sig.
.176
A one-way ANOVA was conducted to compare the age of students in different sections of the
batch.
There was not a significant effect of sections on height at the p>.05 level for the three
conditions [F(2,149) = 1.761, p =0.176]
Q5. Compare the weight, height, and age of boys in the experimental study's treatment
condition, girls in the experimental study's treatment condition, boys in the experimental
study's control condition, and girls in the experimental study's control condition.
H0 = There is no significant difference in the means of weight of boys in the experimental study's
treatment condition, girls in the experimental study's treatment condition, boys in the
experimental study's control condition, and girls in the experimental study's control condition
H1 = There is significant difference in the means of weight of boys in the experimental study's
treatment condition, girls in the experimental study's treatment condition, boys in the
experimental study's control condition, and girls in the experimental study's control condition
Oneway
Descriptives
Weight
95% Confidence Interval
for Mean
N
Treatment
Mean
Std.
Std.
Lower
Upper
Deviation
Error
Bound
Bound
Minimum
Maximum
44
71.773
10.7246
1.6168
68.512
75.033
50.0
101.0
33
59.758
8.1816
1.4242
56.856
62.659
40.0
80.0
Control Male
48
73.906
11.3051
1.6317
70.624
77.189
54.0
101.0
Control
28
61.236
9.5700
1.8086
57.525
64.947
46.0
90.0
153
67.922
11.8628
.9590
66.027
69.817
40.0
101.0
Male
Treatment
Female
Female
Total
Tests of Homogeneity of Variances
Levene Statistic
Weight
df1
df2
Sig.
Based on Mean
.975
3
149
.406
Based on Median
.740
3
149
.530
Based on Median and with
.740
3
138.345
.530
.936
3
149
.425
adjusted df
Based on trimmed mean
ANOVA
Weight
Sum of Squares
Between Groups
df
Mean Square
5822.864
3
1940.955
Within Groups
15567.420
149
104.479
Total
21390.284
152
F
18.577
Sig.
.000
A one-way ANOVA was conducted to compare the weights of boys in the experimental study's
treatment condition, girls in the experimental study's treatment condition, boys in the
experimental study's control condition, and girls in the experimental study's control condition
There was a significant effect on weight at the p<.05 level for the four conditions
[F(3,149) = 18.577, p =0.000]
H0 = There is no significant difference in the means of height of boys in the experimental study's
treatment condition, girls in the experimental study's treatment condition, boys in the
experimental study's control condition, and girls in the experimental study's control condition
H1 = There is significant difference in the means of height of boys in the experimental study's
treatment condition, girls in the experimental study's treatment condition, boys in the
experimental study's control condition, and girls in the experimental study's control condition
Oneway
Descriptives
Height
95% Confidence Interval for
N
Mean
Mean
Std.
Std.
Deviation
Error
Lower Bound Upper Bound Minimum Maximum
Treatment Male
43 173.92326
7.221655 1.101292
171.70076
176.14575
157.000
188.000
Treatment
33 159.00303
6.747013 1.174504
156.61064
161.39542
140.000
173.000
Control Male
48 174.75375
7.405176 1.068845
172.60351
176.90399
160.000
188.000
Control Female
28 163.23550
7.180732 1.357031
160.45110
166.01990
149.000
183.000
9.791299
167.40832
170.54660
140.000
188.000
Female
Total
152 168.97746
.794179
Tests of Homogeneity of Variances
Levene Statistic
Height
df1
df2
Sig.
Based on Mean
.420
3
148
.739
Based on Median
.438
3
148
.726
Based on Median and with
.438
3
144.267
.726
.427
3
148
.734
adjusted df
Based on trimmed mean
ANOVA
Height
Sum of Squares
df
Mean Square
Between Groups
6859.672
3
2286.557
Within Groups
7616.627
148
51.464
14476.299
151
Total
F
44.430
Sig.
.000
A one-way ANOVA was conducted to compare the heights of boys in the experimental study's
treatment condition, girls in the experimental study's treatment condition, boys in the
experimental study's control condition, and girls in the experimental study's control condition
There was a significant effect on height at the p<.05 level for the four conditions
[F(3,148) = 44.430, p = 0.000]
H0 = There is no significant difference in the means of age of boys in the experimental study's
treatment condition, girls in the experimental study's treatment condition, boys in the
experimental study's control condition, and girls in the experimental study's control condition
H1 = There is significant difference in the means of age of boys in the experimental study's
treatment condition, girls in the experimental study's treatment condition, boys in the
experimental study's control condition, and girls in the experimental study's control condition
Oneway
Descriptives
Age
95% Confidence Interval
for Mean
N
Mean
Std.
Std.
Lower
Upper
Deviation
Error
Bound
Bound
Minimum
Maximum
Treatment
43
24.00
1.528
.233
23.53
24.47
21
27
33
23.15
1.770
.308
22.52
23.78
21
28
Control Male
48
24.58
1.748
.252
24.08
25.09
21
29
Control Female
27
23.85
1.975
.380
23.07
24.63
20
28
151
23.97
1.796
.146
23.68
24.26
20
29
Male
Treatment
Female
Total
Tests of Homogeneity of Variances
Levene Statistic
Age
Based on Mean
df1
df2
Sig.
1.116
3
147
.345
Based on Median
.977
3
147
.405
Based on Median and with
.977
3
142.654
.405
1.178
3
147
.320
adjusted df
Based on trimmed mean
ANOVA
Age
Sum of Squares
Between Groups
df
Mean Square
40.578
3
13.526
Within Groups
443.316
147
3.016
Total
483.894
150
F
4.485
Sig.
.005
A one-way ANOVA was conducted to compare the age of boys in the experimental study's
treatment condition, girls in the experimental study's treatment condition, boys in the
experimental study's control condition, and girls in the experimental study's control condition
There was a significant effect on age at the p<.05 level for the four conditions
[F(3,147) = 4.485, p = 0.005]
Q6. Create six categories of age (i.e., up to 22 years, 22-23 Yrs, 23-24 Yrs, 24-25 Yrs, 25-26 Yrs,
and more than 26 Yrs) of students of your batch. Further, compare the weight and height of
students in these six categories of age.
H0 = There is no significant difference in the means of weight among students of six categories of
age (i.e., up to 22 years, 22-23 Yrs, 23-24 Yrs, 24-25 Yrs, 25-26 Yrs, and more than 26 Yrs)
H1 = There is significant difference in the means of weight among students of six categories of
age (i.e., up to 22 years, 22-23 Yrs, 23-24 Yrs, 24-25 Yrs, 25-26 Yrs, and more than 26 Yrs)
Oneway
Descriptives
Weight
95% Confidence Interval for
N
Less than
Mean
Std.
Std.
Deviation
Error
Mean
Lower Bound Upper Bound Minimum Maximum
33
61.473
10.3501
1.8017
57.803
65.143
47.0
87.0
22-23
30
64.317
12.2309
2.2330
59.750
68.884
40.0
95.0
23-24
33
72.667
10.8791
1.8938
68.809
76.524
51.0
98.0
24-25
26
69.654
9.2301
1.8102
65.926
73.382
51.0
90.0
25-26
16
69.500
8.7864
2.1966
64.818
74.182
57.0
86.0
More than
14
75.571
15.7173
4.2006
66.497
84.646
53.0
101.0
152
68.007
11.9309
.9677
66.095
69.919
40.0
101.0
22
26
Total
Tests of Homogeneity of Variances
Levene Statistic
Weight
df1
df2
Sig.
Based on Mean
1.357
5
146
.244
Based on Median
1.063
5
146
.383
Based on Median and with
1.063
5
132.319
.384
1.318
5
146
.260
adjusted df
Based on trimmed mean
ANOVA
Weight
Sum of Squares
Between Groups
df
Mean Square
3441.328
5
688.266
Within Groups
18052.874
146
123.650
Total
21494.202
151
F
5.566
Sig.
.000
A one-way ANOVA was conducted to compare the weight among students of six categories of
age (i.e., up to 22 years, 22-23 Yrs, 23-24 Yrs, 24-25 Yrs, 25-26 Yrs, and more than 26 Yrs).
There was a significant effect on weight at the p<.05 level for the four conditions
[F(5,146) = 5.566, p = 0.000]
H0 = There is no significant difference in the means of height among students of six categories of
age (i.e., up to 22 years, 22-23 Yrs, 23-24 Yrs, 24-25 Yrs, 25-26 Yrs, and more than 26 Yrs)
H1 = There is significant difference in the means of height among students of six categories of age
(i.e., up to 22 years, 22-23 Yrs, 23-24 Yrs, 24-25 Yrs, 25-26 Yrs, and more than 26 Yrs)
One way
Descriptives
Height
95% Confidence Interval for
Mean
Std.
N
Mean
Deviation
Std. Error Lower Bound Upper Bound Minimum Maximum
Less than 22
33 162.86770
10.472047 1.822949
159.15447
166.58092
140.000
185.000
22-23
29 167.54828
8.956307 1.663145
164.14148
170.95507
153.000
188.000
23-24
33 173.10424
7.861451 1.368503
170.31669
175.89179
154.000
184.000
24-25
26 170.19615
8.364232 1.640361
166.81777
173.57454
153.000
183.000
25-26
16 172.62500
9.186040 2.296510
167.73010
177.51990
153.000
188.000
More than
14 170.25000
11.260465 3.009486
163.74840
176.75160
155.000
188.000
167.40172
170.56615
140.000
188.000
26
Total
151 168.98393
9.839830
.800754
Tests of Homogeneity of Variances
Levene Statistic
Height
df1
df2
Sig.
Based on Mean
.803
5
145
.549
Based on Median
.724
5
145
.606
Based on Median and with
.724
5
138.140
.606
.810
5
145
.544
adjusted df
Based on trimmed mean
ANOVA
Height
Sum of Squares
Between Groups
df
Mean Square
2127.252
5
425.450
Within Groups
12396.085
145
85.490
Total
14523.337
150
F
4.977
Sig.
.000
A one-way ANOVA was conducted to compare the height among students of six categories of
age (i.e., up to 22 years, 22-23 Yrs, 23-24 Yrs, 24-25 Yrs, 25-26 Yrs, and more than 26 Yrs).
There was a significant effect on height at the p<.05 level for the four conditions
[F(5,145) = 4.977, p = 0.000]
Q7. Compare the gender distribution between the control and treatment condition.
H0: - There is no significant difference in gender distribution between control and treatment
condition.
H1: - There is significant difference in gender distribution between control and treatment
condition.
Crosstabs
Case Processing Summary
Cases
Valid
N
Gender_ID * WTP_NewGID
Missing
Percent
153
N
Percent
99.4%
1
Gender_ID * WTP_NewGID Crosstabulation
Count
WTP_NewGID
Treatment
Gender_ID
Male
44
Control
48
Total
Total
92
0.6%
N
Percent
154
100.0%
Female
Total
33
28
61
77
76
153
Chi-Square Tests
Asymptotic
Value
Significance (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
df
.577a
1
.447
Continuity Correctionb
.354
1
.552
Likelihood Ratio
.578
1
.447
Pearson Chi-Square
Fisher's Exact Test
.510
Linear-by-Linear Association
.573
N of Valid Cases
153
1
.276
.449
a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 30.30.
b. Computed only for a 2x2 table
A chi-square test of independence showed that there was no significant association between
gender and chocolate preference, X2(1, N = 153) = 0.577a, p = 0.447
Q8. Compare the gender distribution across the three sections.
H0: - There is no significant difference in gender distribution among the three sections
H1: - There is significant difference in gender distribution among the three sections
Case Processing Summary
Cases
Valid
N
Gender_ID * Sec_GroupID
Missing
Percent
154
N
100.0%
Percent
0
0.0%
Gender_ID * Sec_GroupID Crosstabulation
Count
Sec_GroupID
A
B
C
Total
Total
N
Percent
154
100.0%
Gender_ID
Male
33
29
31
93
Female
17
22
22
61
50
51
53
154
Total
Chi-Square Tests
Asymptotic
Significance (2Value
df
sided)
1.003a
2
.606
1.013
2
.603
Linear-by-Linear Association
.586
1
.444
N of Valid Cases
154
Pearson Chi-Square
Likelihood Ratio
a. 0 cells (0.0%) have expected count less than 5. The minimum
expected count is 19.81.
A chi-square test of independence showed that there was no significant association between
gender and chocolate preference, X2(2, N = 154) = 1.003a, p = 0.606