Contoh UJI NORMALITASx

UJI NORMALITAS
Langkah: Buka file
Analyseze, pilih descriptive statistics, pilih explore
Masukan data
Klik plots, aktifkan Normality Plots With Test dan
Non aktifkan Steam And Leat
Pilih None
Contenue
Ok
Catatan > 0,05 data normal
Case Processing Summary

ASUH
EMOSI

Cases
Valid
N
70
70

Percent
100.0%
100.0%

Missing
N
0
0

Percent
.0%
.0%

Total
N
70
70

Percent
100.0%

100.0%

Descriptives

ASUH

EMOSI

Mean
95% Confidence
Interval for Mean

Statistic
299.2571
Lower Bound

293.2053

Upper Bound
5% Trimmed Mean

Median
Variance
Std. Deviation
Minimum
Maximum
Range
Interquartile Range
Skewness
Kurtosis
Mean
95% Confidence
Lower Bound
Interval for Mean
Upper Bound
5% Trimmed Mean
Median
Variance
Std. Deviation
Minimum
Maximum

Range
Interquartile Range
Skewness
Kurtosis

305.3090
299.6984
301.5000
644.194
25.3810
232.00
355.00
123.00
32.7500
-.309
-.059
172.3000

Std. Error
3.0336

.287
.566
2.2069

167.8973
176.7027
172.0794
172.5000
340.938
18.4645
135.00
212.00
77.00
25.7500
.105
-.463

.287
.566

Tests of Normality
KolmogorovSmirnov
ASUH
EMOSI

Statistic
.064
.067

df
70
70

Sig.
.200
.200

* This is a lower bound of the true significance.
a Lilliefors Significance Correction

Uji Normalitas Dengan Grafik
Normal Q-Q Plot of ASUH
3

2

1

Expected Normal

0

-1

-2

-3
220

240

260

280

300

320

340

360

Observed Value

Uji Normalitas Dengan Grafik
Normal Q-Q Plot of EMOSI
3

2

1

Expected Normal

0

-1

-2

-3
120

140

Observed Value

160

180

200

220

Interactive Graph

Uji Linearitas
Langkah: Buka File
Graps, pilih Interactive, pilih Scatter Plots
Masukkan Data
Klik FIT
Buka Method, pilih Regression
Ok

Linear Regression
350.00

asuh = 65.19 + 1.36 * emosi
R-Square = 0.98

asuh

325.00

300.00

275.00

250.00

140.00

160.00

180.00

em osi

200.00