report 1 bstt

8/12/2019 Report 1 Bstt

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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)



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



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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