7. Uji Normalitas Data Sebelum Pemilihan Uji Statistik .ppt

SafrudinTolinggi1 35 views 12 slides Jun 06, 2024
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About This Presentation

Statstik


Slide Content

Uji Normalitas
Pada data berskala interval atau rasio
Menentukan jenis analisis data
ANALISIS
Distribusi data
Normal Tdk Normal
Deskriptif
Central
Tendency
Mean Median
Dispersi
Average Dev.,
Standard Dev.
Interquartile
Deviation
InferensialUji HipotesisParametrik Non Parametrik

Teknik Analisis
Diagram
Pengujian Skewness dan
Kurtosis
Simultan

Diagram (histogram)70.060.050.040.030.0
berat badan penderita
10
8
6
4
2
0
Frequency
Mean = 50.772
Std. Dev. = 8.2614
N = 50
Histogram

Diagram (P-P Plot)1.00.80.60.40.20.0
Observed Cum Prob
1.0
0.8
0.6
0.4
0.2
0.0
Expected Cum Prob
Normal P-P Plot of berat badan penderita

Diagram (Q-Q Plot)7060504030
Observed Value
70
60
50
40
30
Expected Normal Value
Normal Q-Q Plot of berat badan penderita

Skewness dan KurtosisStatistics
berat badan penderita
50
0
.152
.337
-.414
.662
Valid
Missing
N
Skewness
Std. Error of Skewness
Kurtosis
Std. Error of Kurtosis
t skewness = 0.152/0.337 = 0.451
t kurtosis = -0.414/0.662 = -0.625

Kolmogorov-Smirnov 1 sampelOne-Sample Kolmogorov-Smirnov Test
50
50.772
8.2614
.118
.118
-.099
.832
.494
N
Mean
Std. Deviation
Normal Parameters
a,b
Absolute
Positive
Negative
Most Extreme
Differences
Kolmogorov-Smirnov Z
Asymp. Sig. (2-tailed)
berat badan
penderita
Test distribution is Normal.a.
Calculated from data.b.

Kolmogorov-Smirnov (Lilliefors)
Shapiro-WilkTests of Normality
.118 50 .081 .962 50 .106berat badan penderita
Statistic df Sig. Statistic df Sig.
Kolmogorov-Smirnov
a
Shapiro-Wilk
Lilliefors Significance Correctiona.

Amos
Variable min maxskewc.r.kurtosisc.r.
BB 35.00070.000.147.424-.491-.709
Multivariate -.374-.539

Lisrel

Variable Mean St. Dev. T-Value Skewness Kurtosis Minimum Freq. Maximum Freq.
 -------------------------------------------------------------------
 BB 50.772 8.261 43.456 0.152 -0.414 35.000 2 70.000 2

Lisrel
Total Sample Size = 100
Univariate Summary Statistics for Continuous Variables
Variable Mean St. Dev. T-Value Skewness Kurtosis Minimum Freq. Maximum Freq.
-------------------------------------------------------------------
BB 50.772 8.220 61.769 0.149 -0.454 35.000 4 70.000 4
Test of Univariate Normality for Continuous Variables
Skewness Kurtosis Skewness and Kurtosis
Variable Z-Score P-Value Z-Score P-Value Chi-Square P-Value
BB 0.636 0.525 -1.053 0.292 1.513 0.469
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