SPSS V25 Assignment

This assignment provides practical experience in experimental design and analysis using SPSS V25. It includes multiple scenarios with tasks involving t-tests, ANOVA, normality tests, outlier identification, and effect size calculations.

experimental design and
analysis and using SPSS V25

Table of Contents
SCENARIO 1...................................................................................................................................3
Task 1 ..............................................................................................................................................3
Task 2 ..............................................................................................................................................3
TASK 3............................................................................................................................................3
SCENARIO 2...................................................................................................................................5
Task 1 ..............................................................................................................................................8
Task 2 ..............................................................................................................................................9
TASK 3............................................................................................................................................9
SCENARIO 3 ..................................................................................................................................9
Task 1 ..............................................................................................................................................9
Task 2 ............................................................................................................................................10
TASK 3..........................................................................................................................................10
SCENARIO 3 PART 2..................................................................................................................12
SCENARIO 4.................................................................................................................................16
Task 1 ............................................................................................................................................16
Task 2 ............................................................................................................................................16
TASK 3..........................................................................................................................................16
SCENARIO 5 ................................................................................................................................21
Task 1 ............................................................................................................................................21
Task 2 ............................................................................................................................................22
TASK 3..........................................................................................................................................22
SCENARIO 6.................................................................................................................................25
Task 1 ............................................................................................................................................25
Task 2 ............................................................................................................................................26
TASK 3..........................................................................................................................................26
REFERENCES..............................................................................................................................29
REFERENCES..............................................................................................................................36

SCENARIO 1
Task 1
1. On the basis of the t- test it is identified that the significance level is 0.000 which is 0.001
that shows the hypothesis is null hypothesis as there is no significant difference between
the two variables (Mandavgade and Deshmukh, 2019).
2. The statistical analysis which is being used in Sample T- test, Independent sample T-
test , test of normality, homogeneity of variance through ANOVA.
3. Mean age of male and female participants is
Male - 31.33
Female – 32.18
4. No outlier
5. No applicable
6. on the basis of the test of normality it is identified that the significance level is 0.00
which means there is significant difference between the variables and thus it is alternative
hypothesis and the distribution is normally met (Owan, Arop and Agunwa, 2019).
7. The degree of freedom were 30
8. The value of T was 0
9. P value was 0.000 which means there is significant difference between the varaibles.
10. Not applicable
11. Not applicable
Task 2
1. The mean happiness rating was higher than the population mean .
TASK 3
Experimenter effect
sex age
N 30 30

Mean 1.43 31.8
sd 0.504 7.232
z value -56.6865079 0.24889381
T-Test
One-Sample
Statistics
N Mean Std. Deviation Std. Error Mean
Score 30 40.87 8.157 1.489
Sex 30 1.43 .504 .092
Age 30 31.80 7.232 1.320
One-Sample
Test
Test Value = 0
t df Sig. (2-tailed) Mean Difference 99% Confidence
Interval of the
Difference
Lower Upper
Score 27.442 29 .000 40.867 36.76 44.97
Sex 15.577 29 .000 1.433 1.18 1.69
Age 24.084 29 .000 31.800 28.16 35.44
T-Test
Group
Statistics
Sex N Mean Std. Deviation Std. Error Mean

Age 1 17 32.18 8.589 2.083
2 13 31.31 5.250 1.456
Indepen
dent
Samples
Test
Levene's
Test for
Equality
of
Variances
t-test for
Equality
of Means
F Sig. t df Sig. (2-
tailed)
Mean
Differenc
e
Std. Error
Differenc
e
99%
Confiden
ce
Interval
of the
Differenc
e
Lower U
p
p
e
r
Age
Equal variances
assumed 3.170 .086 .321 28 .751 .869 2.707 -4.676 6.413
Equal variances
not assumed .342 26.894 .735 .869 2.542 -4.347 6.085
Tests of
Normality
Kolmogorov
-Smirnova
Shapiro-
Wilk
Statistic df Sig. Statistic df Sig.
Score .263 30 .000 .598 30 .000

a. Lilliefors
Significance
Correction
SCENARIO 2
T-Test
One-Sample
Statistics
N Mean Std. Deviation Std. Error Mean
Start Weight 35 60.11 6.314 1.067
End Weight 34 68.94 18.826 3.229
Age 35 40.20 12.435 2.102
Sex 35 1.49 .507 .086
One-Sample
Test
Test Value = 0
t df Sig. (2-tailed) Mean Difference 99% Confidence
Interval of the
Difference
Lower Upper
Start Weight 56.324 34 .000 60.114 57.20 63.03
End Weight 21.353 33 .000 68.941 60.12 77.77
Age 19.125 34 .000 40.200 34.47 45.93
Sex 17.333 34 .000 1.486 1.25 1.72
sex age start weight end weight
N 35 35 35 34
Mean 1.49 40.2 60.11 68.94

sd 0.507 12.435 6.314 18.824
z value -66.0946746 0.41817451 3.976876782 1.856141096
Group
Statistics
Sex N Mean Std. Deviation Std. Error Mean
Age 1 18 40.56 12.171 2.869
2 17 39.82 13.073 3.171
Start Weight 1 18 60.28 6.667 1.571
2 17 59.94 6.118 1.484
End Weight
1 17 69.88 21.549 5.226
2 17 68.00 16.271 3.946
Indepen
dent
Samples
Test

Levene's Test for
Equality of
Variances
t
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F Sig. t df Sig. (2-
tailed)
Mean
Difference
Std. Error
Difference
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%
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Lower U
p
p
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r
Age
Equal variances
assumed .021 .886 .172 33 .865 .732 4.267 -7.949 9.413
Equal variances
not assumed .171 32.451 .865 .732 4.276 -7.973 9.437
Start
Weight
Equal variances
assumed .143 .708 .155 33 .877 .337 2.167 -4.072 4.745
Equal variances
not assumed .156 32.976 .877 .337 2.161 -4.061 4.734
End
Weight
Equal variances
assumed .367 .549 .287 32 .776 1.882 6.549 -11.457 15.222
Equal variances
not assumed .287 29.769 .776 1.882 6.549 -11.497 15.261
Regression
Variables
Entered/Remo
veda
Model Variables Entered Variables Removed Method
1 Sex, Age, Start
Weightb . Enter
a. Dependent
Variable: End
Weight
b. All requested
variables
entered.
Model
Summary
Model R R Square Adjusted R Square Std. Error of the
Estimate

1 .345a .119 .031 18.531
a. Predictors:
(Constant), Sex,
Age, Start
Weight
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1
Regression 1394.327 3 464.776 1.354 .276b
Residual 10301.555 30 343.385
Total 11695.882 33
a. Dependent
Variable: End
Weight
b. Predictors:
(Constant), Sex,
Age, Start
Weight
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients
t S
i
g
.
B Std. Error Beta
1
(Constant) .930 37.004 .025 .980
Start Weight 1.008 .519 .343 1.941 .062
Age .246 .270 .161 .912 .369
Sex -1.570 6.358 -.042 -.247 .807
a. Dependent
Variable: End
Weight
Tests of
Normalitya,b,
d,e,f,g,h,i,j,k,l,m,n,o

Start Weight Kolmogorov-Smirnovc S
h
a
p
i
r
o
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W
i
l
k
Statistic df Sig. Statistic df Sig.
End Weight
51 .260 2 .
55 .260 2 .
59 .260 2 .
61 .260 2 .
62 .302 4 . .870 4 .296
63 .204 3 . .993 3 .843
65 .260 2 .
68 .260 2 .
Task 1
1.On the basis of the t- test it is identified that the significance level is 0.000 which is 0.001
that shows the hypothesis is null hypothesis as there is no significant difference between the
two variables (King and et.al., 2018).
2.The statistical analysis which is being used in Sample T- test, Independent sample T- test ,
test of normality, homogeneity of variance through ANOVA.
3.standard deviation of age of male and female participants is
Male – 12.171
Female – 13.073
4 there were 5 outliers
5. they were changed to
 9 is changed to 55

 4 is changes to 5
 8 is changed to 49
 18 is changed 45
 23 is changes to 25
6. NO
7. The degree of freedom was 33 and 34
8. The value of T was 36.33
9. P value was 0.000 which means there is significant difference between the varaibles.
10. 0.119
11. it is 11.9 which means it is small effect size
Task 2
2. The mean weight after the weight gain program was significantly higher than befopre.
TASK 3
Experimenter effect
SCENARIO 3
Task 1
1.On the basis of the t- test it is identified that the significance level is 0.000 which is 0.001
that shows the hypothesis is null hypothesis as there is no significant difference between the
two variables (Stamp and et.al., 2018).
2.The statistical analysis which is being used in Sample T- test, Independent sample T- test ,
test of normality, homogeneity of variance through ANOVA.
3.standard deviation of age of male and female participants is
Male – 30
Female – 10
4 there were 5 outliers
5. . NO

6 yes as the p value is greater than 0.01
7. The degree of freedom was 39 and 37
8. The value of T was 32.256
9. P value was 0.000 which means there is significant difference between the varaibles.
10. 0.298
11. it is 0.298 which means it is small effect size
Task 2
3. The mean output for condition was significantly higher than before.
TASK 3
Experimenter effect
Regression
Model
Summary
Model R R Square Adjusted R
Square
Std. Error of
the Estimate
Change
Statistics
R Square
Change
F Change df1 df2 Sig. F Change
1 .546a .298 .236 136.358 .298 4.820 3 34 .007
a.
Predictors:
(Constant),
Age, Sex,
Condition
T-Test
One-Sample
Statistics
N Mean Std. Deviation Std. Error Mean
Sex 40 1.50 .506 .080
Age 40 41.35 13.435 2.124
Condition 40 1.25 .439 .069

Output 38 816.58 156.054 25.315
sex age condition output
N 40 40 40 38
mean 1.5 41.35 13.435 2.124
sd 0.504 13.435 0.439 156.054
z value -76.3889 0.1005 -60.5125 -0.2299
One-Sample
Test
Test Value = 0
t df Sig. (2-tailed) Mean Difference 95% Confidence
Interval of the
Difference
Lower Upper
Sex 18.735 39 .000 1.500 1.34 1.66
Age 19.466 39 .000 41.350 37.05 45.65
Condition 18.028 39 .000 1.250 1.11 1.39
Output 32.256 37 .000 816.579 765.29 867.87
T-Test
Group
Statistics
Condition N Mean Std. Deviation Std. Error Mean
Output 1 30 780.33 152.372 27.819
2 8 952.50 76.111 26.909
Age 1 30 40.53 14.429 2.634
2 10 43.80 10.119 3.200
Sex 1 30 1.53 .507 .093
2 10 1.40 .516 .163

Indepen
dent
Samples
Test
Levene's Test for
Equality of
Variances
t
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F Sig. t df Sig. (2-
tailed)
Mean
Difference
Std. Error
Difference
9
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%
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Lower U
p
p
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r
Output
Equal variances
assumed 3.588 .066 -3.073 36 .004 -172.167 56.032 -285.805 -58.528
Equal variances
not assumed -4.448 23.484 .000 -172.167 38.704 -252.141 -92.192
Age
Equal variances
assumed 2.109 .155 -.661 38 .513 -3.267 4.941 -13.270 6.737
Equal variances
not assumed -.788 22.172 .439 -3.267 4.145 -11.859 5.325
Sex
Equal variances
assumed .697 .409 .717 38 .478 .133 .186 -.243 .510
Equal variances
not assumed .710 15.236 .488 .133 .188 -.266 .533
Oneway
Test of
Homogeneity
of Variances
Output
Levene Statistic df1 df2 Sig.
3.588 1 36 .066
ANOVA
Output
Sum of Squares df Mean Square F Sig.
Between Groups 187208.596 1 187208.596 9.441 .004
Within Groups 713846.667 36 19829.074

Total 901055.263 37
SCENARIO 3 PART 2
One-Sample
Statistics
N Mean Std. Deviation Std. Error Mean
Sex 20 1.50 .513 .115
Age 20 38.90 12.290 2.748
Condition 20 2.00 .000a .000
Output 14 980.36 70.505 18.843
a. t cannot be
computed
because the
standard
deviation is 0.
One-Sample
Test
Test Value = 0
t df Sig. (2-tailed) Mean Difference 95% Confidence
Interval of the
Difference
Lower Upper
Sex 13.077 19 .000 1.500 1.26 1.74
Age 14.155 19 .000 38.900 33.15 44.65
Output 52.027 13 .000 980.357 939.65 1021.07
T-Test
Group
Statistics
Sex N Mean Std. Deviation Std. Error Mean
Condition 1 10 2.00 .000a .000
2 10 2.00 .000a .000
Output 1 7 962.14 93.535 35.353
2 7 998.57 35.322 13.350
Age 1 10 44.80 12.761 4.035

2 10 33.00 8.869 2.805
a. t cannot be
computed
because the
standard
deviations of
both groups are
0.
Indepen
dent
Samples
Test

L
e
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t-test
for
Equal
ity of
Mean
s

F Sig. t df Sig. (2-tailed) Mean
Differenc
e
S
t
d
.
E
r
r
o
r
D
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95%
Confiden
ce
Interval
of the
Differenc
e
Lower Upper
Outp
ut
Equal
variances
assumed
4.702 .051 -.964 12 .354 -36.429 37.790 -118.765 45.908
Equal
variances not
assumed
-.964 7.677 .364 -36.429 37.790 -124.214 51.357
Age
Equal
variances
assumed
1.079 .313 2.401 18 .027 11.800 4.914 1.475 22.125
Equal
variances not
assumed
2.401 16.050 .029 11.800 4.914 1.385 22.215
Tests of
Normality

Condition Kolmogorov-Smirnova S
h
a
p
i
r
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W
i
l
k
Statistic df Sig. Statistic df Sig.
Output 2 .126 14 .200* .965 14 .807
*. This is a
lower bound
of the true
significance.
a. Lilliefors
Significance
Correction
SCENARIO 4
Task 1
1.On the basis of the t- test it is identified that the significance level is 0.000 which is 0.001
that shows the hypothesis is null hypothesis as there is no significant difference between the
two variables.
2.The statistical analysis which is being used in Sample T- test, Independent sample T- test ,
test of normality, homogeneity of variance through ANOVA (Dahlqvist and et.al., 2019).
3.standard deviation of age of male and female participants is
Male – 12.989
Female – 9.244
4 there were no outliers
5 no

6. yes
7. The degree of freedom 42
8. The value of T was 25.815, 14.33
9. P value was 0.000 which means there is significant difference between the varaibles.
10 the value is 0.117
11.
Lower Upper
1.33 1.64
31.59 38.55
29.84 34.90
21.33 28.49
Task 2
4. The mean of C1 is significantly higher than C 2.
TASK 3
Experimenter effect
T-Test
One-Sample
Statistics
N Mean Std. Deviation Std. Error Mean
Sex 43 1.49 .506 .077
Age 43 35.07 11.306 1.724
C1 43 32.37 8.223 1.254
C2 43 24.91 11.639 1.775
age sex C1 c2
N 43 43 43 43
mean 1.49 35.07 32.37 24.91
sd 0.506 11.306 8.223 11.639
z value -82.0355731 -0.70139749 -1.29271555 -1.55425724
One-Sample
Test
Test Value = 0

t df Sig. (2-tailed) Mean Difference 95% Confidence
Interval of the
Difference
Lower Upper
Sex 19.297 42 .000 1.488 1.33 1.64
Age 20.340 42 .000 35.070 31.59 38.55
C1 25.815 42 .000 32.372 29.84 34.90
C2 14.033 42 .000 24.907 21.33 28.49
T-Test
Group
Statistics
Sex N Mean Std. Deviation Std. Error Mean
Age 1 22 36.68 12.989 2.769
2 21 33.38 9.244 2.017
C2 1 22 27.14 14.384 3.067
2 21 22.57 7.487 1.634
C1 1 22 35.05 7.467 1.592
2 21 29.57 8.207 1.791
Indepen
dent
Samples
Test

Levene's Test for
Equality of Variances
t
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F Sig. t df Sig. (2-
tailed)
Mean
Difference
Std. Error
Difference
9
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%
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Lower U
p
p
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Age
Equal variances
assumed 1.210 .278 .956 41 .345 3.301 3.453 -3.672 10.274
Equal variances
not assumed .963 37.973 .341 3.301 3.426 -3.635 10.237
C2
Equal variances
assumed 2.002 .165 1.296 41 .202 4.565 3.522 -2.549 11.679
Equal variances
not assumed 1.314 31.914 .198 4.565 3.475 -2.513 11.643
C1
Equal variances
assumed .911 .345 2.290 41 .027 5.474 2.391 .646 10.303
Equal variances
not assumed 2.284 40.194 .028 5.474 2.396 .632 10.316
Regression
Descriptive
Statistics
Mean Std. Deviation N
Age 35.07 11.306 43
C1 32.37 8.223 43
C2 24.91 11.639 43
Sex 1.49 .506 43
Correlations
Age C1 C2 S
e
x
Pearson Correlation Age 1.000 -.241 -.166 -.148

C1 -.241 1.000 .698 -.337
C2 -.166 .698 1.000 -.198
Sex -.148 -.337 -.198 1.000
Sig. (1-tailed)
Age . .060 .143 .172
C1 .060 . .000 .014
C2 .143 .000 . .101
Sex .172 .014 .101 .
N
Age 43 43 43 43
C1 43 43 43 43
C2 43 43 43 43
Sex 43 43 43 43
Variables
Entered/Remo
veda
Model Variables Entered Variables Removed Method
1 Sex, C2, C1b . Enter
a. Dependent
Variable: Age
b. All requested
variables
entered.
Model
Summary
Model R R Square Adjusted R Square Std. Error of the
Estimate
Change
Statistics
R Square
Change
F Change df1
1 .342a .117 .049 11.024 .117 1.726 3
a. Predictors:
(Constant), Sex,
C2, C1

ANOVAa
Model Sum of Squares df Mean Square F S
i
g
.
1
Regression 629.265 3 209.755 1.726 .178b
Residual 4739.526 39 121.526
Total 5368.791 42
a. Dependent
Variable: Age
b. Predictors:
(Constant),
Sex, C2, C1
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients
t S
i
g
.
B Std. Error Beta
1
(Constant) 58.426 10.516 5.556 .000
C1 -.472 .301 -.343 -1.566 .125
C2 .021 .204 .022 .103 .919
Sex -5.787 3.577 -.259 -1.618 .114
a. Dependent
Variable: Age
Coefficient
Correlation
sa
Model Sex C2 C
1
1 Correlations Sex 1.000 -.054 .282
C2 -.054 1.000 -.684
C1 .282 -.684 1.000

Covariances
Sex 12.795 -.040 .304
C2 -.040 .042 -.042
C1 .304 -.042 .091
a. Dependent
Variable:
Age
Tests of
Normalitya,b
,c,d,f,g,h,i,j,k,l,m,n
C1 Kolmogorov-Smirnove S
h
a
p
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i
l
k
Statistic df Sig. Statistic df Sig.
Age
22 .260 2 .
23 .260 2 .
28 .260 2 .
30 .385 3 . .750 3 .000
31 .331 3 . .865 3 .281
33 .188 4 . .967 4 .821
34 .362 3 . .803 3 .122
36 .385 3 . .750 3 .000
37 .291 4 . .851 4 .230
38 .260 2 .
39 .260 2 .

Test of
Homogeneity
of Variances
Levene Statistic df1 df2 Sig.
C2 1.532 10 19 .203
C1 3.174 10 19 .015
ANOVA
Sum of Squares df Mean Square F S
i
g
.
C2
Between Groups 4333.011 23 188.392 2.639 .018
Within Groups 1356.617 19 71.401
Total 5689.628 42
C1
Between Groups 1536.547 23 66.806 .974 .529
Within Groups 1303.500 19 68.605
Total 2840.047 42
SCENARIO 5
Task 1
1.On the basis of the t- test it is identified that the significance level is 0.000 which is 0.001
that shows the hypothesis is null hypothesis as there is no significant difference between the
two variables.
2.The statistical analysis which is being used in Sample T- test, Independent sample T- test ,
test of normality, homogeneity of variance through ANOVA.
3. Mean age of male and female participants is
Male – 24.55
Female – 24.50
4 Standard deviation of age of male and female is
Male -3.776

Female -3.649
5 No
6. not applicable
7. yes
8. yes
9. 58.9
10. P value was 0.000 which means there is significant difference between the varaibles.
11 the value is
Lower Upper
1.33 1.64
31.59 38.55
29.84 34.90
21.33 28.49
Task 2
The mean of work satisfaction is higher in 2019 than 2009
TASK 3
Experimenter effect
Test of
Homogeneity
of Variances
Score
Levene Statistic df1 df2 Sig.
2.650 9 26 .025
ANOVA
Score
Sum of Squares df Mean Square F Sig.
Between Groups 381.933 13 29.379 .331 .980

Within Groups 2309.967 26 88.845
Total 2691.900 39
T-Test
One-Sample
Statistics
N Mean Std. Deviation Std. Error Mean
Sex 40 1.50 .506 .080
Age 40 24.53 3.665 .580
Score 40 77.45 8.308 1.314
sex age score
N 40 40 40
mean 1.5 24.53 77.45
sd 0.506 3.665 8.308
z value -76.0869565 -4.22100955 4.50770342
One-Sample
Test
Test Value = 0
t df Sig. (2-tailed) Mean Difference 95% Confidence
Interval of the
Difference
Lower Upper
Sex 18.735 39 .000 1.500 1.34 1.66
Age 42.317 39 .000 24.525 23.35 25.70
Score 58.960 39 .000 77.450 74.79 80.11
T-Test

Group
Statistics
Sex N Mean Std. Deviation Std. Error Mean
Age 1 20 24.50 3.649 .816
2 20 24.55 3.776 .844
Score 1 20 76.15 8.139 1.820
2 20 78.75 8.478 1.896
Indepen
dent
Samples
Test
Levene's
Test for
Equality
of
Variance
s
t-test for
Equality
of Means
F Sig. t df S
i
g
.
(
2
Mean Difference S
t
d
.
E
r
95%
Confiden
ce
Interval
of the
Differen
ce

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t
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Lower U
p
p
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Age
Equal
variances
assumed
.027 .870 -.043 38 .966 -.050 1.174 -2.427 2.327
Equal
variances
not
assumed
-.043 37.955 .966 -.050 1.174 -2.427 2.327
Score
Equal
variances
assumed
.108 .745 -.989 38 .329 -2.600 2.628 -7.920 2.720
Equal
variances
not
assumed
-.989 37.937 .329 -2.600 2.628 -7.920 2.720
Tests of
Normali
tya,d,e,f
Age Kolmogo
rov-
Smirnovb
Shapiro-
Wilk
Statistic df Sig. Statistic df Sig.
Score 19 .175 3 . 1.000 3 1.000
20 .260 2 .
21 .260 3 . .958 3 .605

22 .167 5 .200* .986 5 .962
23 .282 4 . .938 4 .641
25 .333 4 . .828 4 .163
26 .240 4 . .953 4 .734
27 .290 4 . .860 4 .260
28 .278 4 . .852 4 .233
30 .204 3 . .993 3 .843
*. This is
a lower
bound of
the true
significa
nce.
a. Score
is
constant
when
Age =
18. It has
been
omitted.
b.
Lilliefors
Significa
nce
Correcti
on
d. Score
is
constant
when
Age =
24. It has
been
omitted.

e. Score
is
constant
when
Age =
31. It has
been
omitted.
f. Score
is
constant
when
Age =
32. It has
been
omitted.
SCENARIO 6
Task 1
1.On the basis of the t- test it is identified that the significance level is 0.000 which is 0.001
that shows the hypothesis is null hypothesis as there is no significant difference between the
two variables.
2.The statistical analysis which is being used in Sample T- test, Independent sample T- test ,
test of normality, homogeneity of variance through ANOVA.
3. Mean age of male and female participants is
Male -39.44
Female – 44.04
4 No outlier
5. yes
6. yes
7. degree of freedom was 49
8. 32.452
9. . P value was 0.000 which means there is significant difference between the varaibles

10. the value of r square is 0.21
11 the effect size of r square is lower
Task 2
The mean of work satisfaction is higher for the low satisfaction as compared to the high
satisfaction
TASK 3
Experimenter effect
T-Test
One-Sample
Statistics
N Mean Std. Deviation Std. Error Mean
Sex 50 1.52 .505 .071
Age 50 41.74 10.876 1.538
Group 50 1.50 .505 .071
Score 50 6.32 1.377 .195
sex age group score
N 50 50 50 50
mean 1.52 41.74 1.5 6.32
SD 0.505 10.876 0.505 1.377
z value -96 -0.75947039 -96.039604 -31.7211329
One-Sample
Test
Test Value = 0

t df Sig. (2-tailed) Mean Difference 99% Confidence
Interval of the
Difference
Lower Upper
Sex 21.297 49 .000 1.520 1.33 1.71
Age 27.138 49 .000 41.740 37.62 45.86
Group 21.000 49 .000 1.500 1.31 1.69
Score 32.459 49 .000 6.320 5.80 6.84
T-Test
Group
Statistics
Group N Mean Std. Deviation Std. Error Mean
Sex 1 25 1.52 .510 .102
2 25 1.52 .510 .102
Age 1 25 39.44 10.292 2.058
2 25 44.04 11.160 2.232
Score 1 25 6.48 1.388 .278
2 25 6.16 1.375 .275
Indepen
dent
Samples
Test

Levene's Test for
Equality of
Variances
t
-
t
e
s
t
f
o
r
E
q
u
a
l
i
t
y
o
f
M
e
a
n
s

F Sig. t df Sig. (2-
tailed)
Mean
Difference
Std. Error
Difference
9
9
%
C
o
n
f
i
d
e
n
c
e
I
n
t
e
r
v
a
l
o
f
t
h
e
D
i
f
f
e
r
e
n
c
e

Lower U
p
p
e
r
Sex
Equal variances
assumed .000 1.000 .000 48 1.000 .000 .144 -.387 .387
Equal variances
not assumed .000 48.000 1.000 .000 .144 -.387 .387
Age
Equal variances
assumed .645 .426 -1.515 48 .136 -4.600 3.036 -12.744 3.544
Equal variances
not assumed -1.515 47.689 .136 -4.600 3.036 -12.746 3.546
Score
Equal variances
assumed .024 .879 .819 48 .417 .320 .391 -.728 1.368
Equal variances
not assumed .819 47.996 .417 .320 .391 -.728 1.368
Tests of
Normality
Group Kolmogorov-Smirnova S
h
a
p
i
r
o
-
W
i
l
k
Statistic df Sig. Statistic df Sig.
Score 1 .205 25 .008 .883 25 .008
2 .174 25 .050 .949 25 .240
a. Lilliefors
Significance
Correction

Test of
Homogeneity
of Variances
Score
Levene Statistic df1 df2 Sig.
.024 1 48 .879
ANOVA
Score
Sum of Squares df Mean Square F Sig.
Between Groups 1.280 1 1.280 .671 .417
Within Groups 91.600 48 1.908
Total 92.880 49
Regression
Model
Summary
Model R R Square Adjusted R Square Std. Error of the
Estimate
Change Statistics
R Square Change F Change df1 df2
1 .146a .021 -.043 1.406 .021 .332 3
a. Predictors:
(Constant),
Sex, Group,
Age
REFERENCES
Books and journals
Appendix
Extreme
Valuesa,b,c,d,e,f
,g,h,i,j,k,l

Age Case Number Sex V
a
l
u
e
Score
25 Highest 1 2 2 42
Lowest 1 29 2 2
27 Highest 1 12 2 44
Lowest 1 16 2 38
29 Highest 1 4 2 49
Lowest 1 26 1 39
30 Highest 1 9 1 50
Lowest 1 11 2 39
31 Highest 1 27 2 45
Lowest 1 19 2 39
33 Highest 1 6 2 41
Lowest 1 21 1 40
35 Highest 1 3 1 44
Lowest 1 30 2 36
42 Highest 1 8 2 48
Lowest 1 25 1 44
a. Score is
constant
when Age =
19. It has
been
omitted.
b. Score is
constant
when Age =
21. It has
been
omitted.
c. Score is
constant
when Age =
22. It has
been
omitted.

d. Score is
constant
when Age =
24. It has
been
omitted.
e. The
requested
number of
extreme
values
exceeds the
number of
data points.
A smaller
number of
extremes is
displayed.
f. Score is
constant
when Age =
28. It has
been
omitted.
g. Score is
constant
when Age =
32. It has
been
omitted.
h. Score is
constant
when Age =
38. It has
been
omitted.

i. Score is
constant
when Age =
39. It has
been
omitted.
j. Score is
constant
when Age =
40. It has
been
omitted.
k. Score is
constant
when Age =
41. It has
been
omitted.
l. Score is
constant
when Age =
52. It has
been
omitted.
Stem-and-Leaf Plots
Score Stem-and-Leaf Plot for
Age= 25
Frequency Stem & Leaf
2.00 0 . 04
Stem width: 100
Each leaf: 1 case(s)

Score Stem-and-Leaf Plot for
Age= 27
Frequency Stem & Leaf
1.00 3 . 8
1.00 4 . 4
Stem width: 10
Each leaf: 1 case(s)
Score Stem-and-Leaf Plot for
Age= 29
Frequency Stem & Leaf
1.00 3 . 9
2.00 4 . 09
Stem width: 10
Each leaf: 1 case(s)

Explore
Case
Processing
Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Score 30 100.0% 0 0.0% 30 100.0%
Descriptives

Statistic S
t
d
.
E
r
r
o
r
Score
Mean 40.87
1
4
8
9
95% Confidence Interval for Mean Lower Bound 37.82
Upper Bound 43.91
5% Trimmed Mean 41.93
Median 42.00
Variance 66.533
Std. Deviation 8.157
Minimum 2
Maximum 50
Range 48
Interquartile Range 5
Skewness -3.874 4
2
7
Kurtosis 18.704 8
3
3
Extreme
Values

Case Number V
a
l
u
e
Score
Highest
1 9 50
2 4 49
3 8 48
4 18 46
5 23 46
Lowest
1 29 2
2 22 35
3 30 36
4 16 38
5 15 38