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BGY3701
BIOSTATISTICS
EDA PRACTICALGROUP MEMBERS:
NAME MATRIC NO
NUR SYUHADA BT ROSLAN 175455
NOORFATIEN IDAYU BT KAMARUDIN 174061
HARLINA BT HARIS 175414
SABIHAH BINTI SIDEK 175269
NURHANIN AQILA BINTI MOHAMMED NOOR 175339
AMIR SAIFULLAH BIN IDRIS 172087
DEMONSTRATOR : MOHAMED AMAR NAQQIUDDIN
LECTURER : DR SHAMARINA
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1.0LENGTH STYLE
1.1 Descriptive Statistic table for length style
Descriptive Statistics
N Range Minimum Maximum Mean Std. Deviation
Lenghtstyle 30 2.00 1.00 3.00 2.6667 .66089
Valid N (listwise) 30
Table 1.0
1.2 Bar Chart for length style
Statistics
Lenghtstyle
NValid 30
Missing 0
Table 1.1
Lenghtstyle
Frequency Percent Valid Percent Cumulative
Percent
Valid
short 3 10.0 10.0 10.0average 4 13.3 13.3 23.3
long 23 76.7 76.7 100.0
Total 30 100.0 100.0
Table 1.2
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Figure 1.0
1.3 Pie Chart of length style
Figure 1.1
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1.4 Histogram of length style
Figure 1.2
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2.0 STYLE CM
2.1 Descriptive Statistic of style in centimeter (cm)
Descriptive Statistics
N Range Minimum Maximum Mean Std. Deviation
Stylecm 30 4.1 5.4 9.5 8.320 .9368
Valid N (listwise) 30Table 2.0
2.2 Bar Chart for style cm
Statistics
Stylecm
NValid 30
Missing 0
Table 2.1
Stylecm
Frequency Percent Valid Percent CumulativePercent
Valid
5.4 1 3.3 3.3 3.3
6.5 2 6.7 6.7 10.0
7.0 1 3.3 3.3 13.3
7.5 1 3.3 3.3 16.7
7.6 1 3.3 3.3 20.0
7.8 1 3.3 3.3 23.38.0 2 6.7 6.7 30.0
8.4 1 3.3 3.3 33.3
8.5 4 13.3 13.3 46.7
8.6 2 6.7 6.7 53.3
8.7 2 6.7 6.7 60.0
8.8 1 3.3 3.3 63.3
8.9 3 10.0 10.0 73.3
9.0 4 13.3 13.3 86.7
9.1 3 10.0 10.0 96.7
9.5 1 3.3 3.3 100.0
Total 30 100.0 100.0
Table 2.2
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Figure 2.0
2.3 Pie Chart of stylecm
Figure 2.1
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2.4 Histogram of stylecm
Figure 2.2
2.5 Box Plot for style in cm
Stylecm Stem-and-Leaf Plot
Frequency Stem & Leaf
1.00 Extremes (=
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Figure 2.3
1. The data set is like a linear curve with some scatter2. there is no justification for a more complicated model3. there is an outlier in figure 2.34. The vertical spread of the data appears to be of equal height
irrespective of the X-value; this indicates that the data are equally-
precise throughout and so a "regular" fit is appropriate.
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Figure 2.4
Figure 2.5
2.6 Explore and test of normality for stylecm
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Stylecm 30 100.0% 0 0.0% 30 100.0%
Table 2.3
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Descriptives
Statistic Std. Error
Stylecm
Mean 8.320 .1710
95% Confidence Interval
for Mean
Lower Bound 7.970
Upper Bound 8.670
5% Trimmed Mean 8.404
Median 8.600
Variance .878
Std. Deviation .9368
Minimum 5.4
Maximum 9.5
Range 4.1
Interquartile Range 1.1
Skewness -1.581 .427
Kurtosis 2.328 .833
Table 2.4
Tests of Normality
Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
Stylecm .243 30 .000 .830 30 .000
a. Lilliefors Significance CorrectionTable 2.5
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3.0 COLOR
3.1 Descriptive Statistic table for color
Descriptive Statistics
N Range Minimum Maximum Mean Std. Deviation
Colour 30 1.00 1.00 2.00 1.4667 .50742
Valid N (listwise) 30Table 3.0
3.2 Bar Chart for color
Statistics
Colour
NValid 30
Missing 0Table 3.1
Color
Frequency Percent Valid Percent Cumulative
Percent
Valid
Peach 16 53.3 53.3 53.3
Red 14 46.7 46.7 100.0
Total 30 100.0 100.0
Table 3.2
Figure 3.0
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3.3 Pie Chart of colour
Figure 3.1
3.4 Histogram of color
Figure 3.2
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