7. Uji Normalitas Data Sebelum Pemilihan Uji Statistik .ppt
SafrudinTolinggi1
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Jun 06, 2024
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About This Presentation
Statstik
Size: 196.79 KB
Language: en
Added: Jun 06, 2024
Slides: 12 pages
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