Output Dan Kesimpulan

TUGAS

PENGOLAHAN DATA KOMPUTER

OLEH

SRI ELMIATI

A1C3 09 023

PROGRAM STUDI PENDIDIKAN FISIKA

FAKULTAS KEGURUAN DAN ILMU PENDIDIKAN

UNIVERSITAS HALUOLEO

KENDARI

2012

JUDUL : Perbandingan Hasil Belajar Ipa Fisika Konsep Tekanan Antara Kelas Jauh Dan

Kelas Reguler Pada Siswa Kelas I SLTP Negeri 1 Wawoni

OLEH : MARIANA (A1D399137)

Preetest Posttest54.2 58.341.7 66.729.2 62.541.7 45.837.5 58.337.5 54.237.5 7537.5 70.850.5 70.845.8 66.741.7 70.845.8 62.545.8 58.341.7 66.737.5 45.845.8 54.241.7 66.762.5 83.337.5 62.537.5 58.341.7 79.241.7 62.545.8 5050 79.2

45.8 70.837.5 58.341.7 54.254.2 62.541.7 54.237.5 58.350 50

41.7 70.841.7 70.858.3 66.737.5 45.845.8 62.550 58.3

45.8 66.741.7 45.8

45.8 75

1. ANALISIS KUALITATIF (TENDENSI SENTRAL)

Descriptives

Descriptive Statistics

N Range Minimum Maximum Mean Std. Deviation Variance

Statistic Statistic Statistic Statistic Statistic Std. Error Statistic Statistic

Pretest 40 33,3 29,2 62,5 43,662 1,0237 6,4742 41.915

Posttest 40 37,5 45,8 83,3 62,495 1,5295 9,6731 93.569

Valid N (listwise) 40

Means

Case Processing Summary

Cases

Included Excluded Total

N Percent N Percent N Percent

Pretest * Posttest 40 100.0% 0 .0% 40 100.0%

Report

Pretest

Posttest Mean N Std. Deviation Std. Error of Mean Sum Minimum Maximum Variance Range Median

45.8 39,600 4 2,4249 1,2124 158,4 37,5 41,7 5.880 4,2 39,600

50 47,900 2 2,9698 2,1000 95,8 45,8 50,0 8.820 4,2 47,900

54.2 41,675 4 3,3886 1,6943 166,7 37,5 45,8 11.482 8,3 41,700

58.3 42,857 7 7,1079 2,6866 300,0 37,5 54,2 50.523 16,7 37,500

62.5 42,367 6 8,4982 3,4694 254,2 29,2 54,2 72.219 25,0 43,750

66.7 45,833 6 6,4292 2,6247 275,0 41,7 58,3 41.335 16,6 43,750

70.8 43,150 6 4,4559 1,8191 258,9 37,5 50,5 19.855 13,0 41,700

75 41,650 2 5,8690 4,1500 83,3 37,5 45,8 34.445 8,3 41,650

79.2 45,850 2 5,8690 4,1500 91,7 41,7 50,0 34.445 8,3 45,850

83.3 62,500 1 . . 62,5 62,5 62,5 . ,0 62,500

Total 43,662 40 6,4742 1,0237 1.746,5 29,2 62,5 41.915 33,3 41,700

2. SYARAT-SYARAT ANALISIS (Uji Homogenitas dan Uji Normalitas)

Test of Homogeneity of Variances

Pretest

Levene Statistic df1 df2 Sig.

1.161 8 30 .354

Dari tabel Uji homogenitas data Pretest di atas diperoleh dengan menggunakan uji Levene pada SPSS, diperoleh angka

signifikan =0,354. Oleh karena angka signifikan lebih besar dari 0,05, maka data Pretes tersebut bersifat homogen atau memiliki varians

yang sama.

ANOVA

Pretest

Sum of Squares df Mean Square F Sig.

Between Groups

534.717 9 59.413 1.620 .154

Within Groups 1099.976 30 36.666

Total 1634.694 39

Posttest


Posttest

Cases

Valid Missing Total


Pretest 45.8 4 100.0% 0 .0% 4 100.0%

50 2 100.0% 0 .0% 2 100.0%

54.2 4 100.0% 0 .0% 4 100.0%

58.3 7 100.0% 0 .0% 7 100.0%

62.5 6 100.0% 0 .0% 6 100.0%

66.7 6 100.0% 0 .0% 6 100.0%

70.8 6 100.0% 0 .0% 6 100.0%

75 2 100.0% 0 .0% 2 100.0%

79.2 2 100.0% 0 .0% 2 100.0%

83.3 1 100.0% 0 .0% 1 100.0%


Posttest

Cases

Valid Missing Total


Pretest 45.8 4 100.0% 0 .0% 4 100.0%

50 2 100.0% 0 .0% 2 100.0%

54.2 4 100.0% 0 .0% 4 100.0%

58.3 7 100.0% 0 .0% 7 100.0%

62.5 6 100.0% 0 .0% 6 100.0%

66.7 6 100.0% 0 .0% 6 100.0%

70.8 6 100.0% 0 .0% 6 100.0%

75 2 100.0% 0 .0% 2 100.0%

79.2 2 100.0% 0 .0% 2 100.0%

83.3 1 100.0% 0 .0% 1 100.0%

Descriptivesa

Posttest Statistic Std. Error

Pretest 45.8 Mean 39,600 1,2124

95% Confidence Interval for Mean

Lower Bound 35,741

Upper Bound 43,459

5% Trimmed Mean 39,600

Median 39,600

Variance 5.880

Std. Deviation 2,4249

Minimum 37,5

Maximum 41,7

Range 4,2

Interquartile Range 4,2

Skewness .000 1.014

Kurtosis -6.000 2.619

50 Mean 47,900 2,1000


Lower Bound 21,217

Upper Bound 74,583

5% Trimmed Mean .

Median 47,900

Variance 8.820


Minimum 45,8

Maximum 50,0

Range 4,2

Interquartile Range .

Skewness . .

Kurtosis . .

54.2 Mean 41,675 1,6943


Lower Bound 36,283

Upper Bound 47,067


Median 41,700

Variance 11.482


Minimum 37,5

Maximum 45,8

Range 8,3


Skewness -.044 1.014

Kurtosis 1.501 2.619

58.3 Mean 42,857 2,6866


Lower Bound 36,283

Upper Bound 49,431


Median 37,500

Variance 50.523


Minimum 37,5

Maximum 54,2

Range 16,7


Skewness .802 .794

Kurtosis -1.282 1.587

62.5 Mean 42,367 3,4694


Lower Bound 33,448

Upper Bound 51,285


Median 43,750

Variance 72.219


Minimum 29,2

Maximum 54,2

Range 25,0


Skewness -.323 .845

Kurtosis .528 1.741

66.7 Mean 45,833 2,6247


Lower Bound 39,086

Upper Bound 52,580


Median 43,750

Variance 41.335


Minimum 41,7

Maximum 58,3

Range 16,6


Skewness 1.948 .845

Kurtosis 4.005 1.741

70.8 Mean 43,150 1,8191


Lower Bound 38,474

Upper Bound 47,826


Median 41,700

Variance 19.855


Minimum 37,5

Maximum 50,5

Range 13,0


Skewness .767 .845

Kurtosis .853 1.741

75 Mean 41,650 4,1500


Lower Bound -11,081

Upper Bound 94,381

5% Trimmed Mean .

Median 41,650

Variance 34.445


Minimum 37,5

Maximum 45,8

Range 8,3


Skewness . .

Kurtosis . .

79.2 Mean 45,850 4,1500


Lower Bound -6,881

Upper Bound 98,581

5% Trimmed Mean .

Median 45,850

Variance 34.445


Minimum 41,7

Maximum 50,0

Range 8,3


Skewness . .

Kurtosis . .

a. Pretest is constant when Posttest = 83,3. It has been omitted.

Extreme Valuesd,e

Posttest Case Number Value

Pretest 45.8 Highest 1 4 41,7

2 39 41,7

Lowest 1 35 37,5

2 15 37,5

50 Highest 1 31 50,0

Lowest 1 23 45,8

54.2 Highest 1 16 45,8

2 27 41,7a

Lowest 1 6 37,5

2 29 41,7b

58.3 Highest 1 1 54,2

2 37 50,0

3 13 45,8

Lowest 1 30 37,5

2 26 37,5

3 20 37,5c

62.5 Highest 1 28 54,2

2 12 45,8

3 36 45,8

Lowest 1 3 29,2

2 19 37,5

3 22 41,7

66.7 Highest 1 34 58,3

2 10 45,8

3 38 45,8

Lowest 1 17 41,7

2 14 41,7

3 2 41,7

70.8 Highest 1 9 50,5

2 25 45,8

3 11 41,7a

Lowest 1 8 37,5

2 33 41,7

3 32 41,7b

75 Highest 1 40 45,8

Lowest 1 7 37,5

79.2 Highest 1 24 50,0

Lowest 1 21 41,7

a. Only a partial list of cases with the value 41,7 are shown in the table of upper extremes.

b. Only a partial list of cases with the value 41,7 are shown in the table of lower extremes.

c. Only a partial list of cases with the value 37,5 are shown in the table of lower extremes.

d. The requested number of extreme values exceeds the number of data points. A smaller number of extremes is displayed.

e. Pretest is constant when Posttest = 83,3. It has been omitted.

Tests of Normalityb

Posttest

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

Pretest 45.8 .307 4 . .729 4 .024

50 .260 2 .

54.2 .253 4 . .945 4 .683

58.3 .346 7 .011 .779 7 .025

62.5 .176 6 .200* .975 6 .926

66.7 .335 6 .034 .719 6 .010

70.8 .294 6 .114 .911 6 .442

75 .260 2 .

79.2 .260 2 .

a. Lilliefors Significance Correction

*. This is a lower bound of the true significance.

b. Pretest is constant when Posttest = 83,3. It has been omitted.

Dari table diatas untuk uji normalitas terlihat bahwa nilai signifikan (Sig.) yang mengacu pada kolom Shapiro-Wilk diperoleh nilai

signifikan 0.024 . Hal ini lebih kecil dari 0,05, maka hal ini menunjukkan bahwa data pretest dan posttes tidak berdistribusi normal.

3. UJi Beda Rata-Rata

T-Test

One-Sample Statistics

N MeanStd.

DeviationStd. Error

Mean

Pretest 40 43,663 6,4742 1,0237

Posttest 40 62,495 9,6731 1,5295

One-Sample Test

Test Value = 0

t dfSig. (2-tailed)

Mean Difference

95% Confidence Interval of the Difference

Lower Upper

Pretest 42.653 39 .000 43,6625 41,592 45,733

Posttest 40.861 39 .000 62,4950 59,401 65,589

Dari tabel output uji beda rata-rata di atas bahwa nilai signifikan Sig.(2-tailed) sebesar 0,000 artinya Sig.(1-tailed)= 12 Sig.(2-tailed)= 0

> α = 0,05.

4. ANALISIS KORELASI

Correlations

Correlations

Pretest Posttest

Pretest Pearson Correlation

1 .286

Sig. (2-tailed) .073

N 40 40

Posttest Pearson Correlation

.286 1

Sig. (2-tailed) .073

N 40 40

Dari tabel Pretest di atas bahwa terlihat teknik korelasi yang kita pakai adalah pearson, kemudian dapat kita baca korelasi kedua

variable tersebut 0,286, hal ini berarti koefisien korelasinya sebesar 0,286. Pada Sig.(2-tailed) sebesar 0,073, ini berarti jika kita

menggunakan taraf signifikan 5%, maka korelasi signifikan jika nilai Sig (2-tailed) lebih besar dari 0,05 dan signifikan jika lebih kecil dari

0,05. Dari hasil output maka kesimpulannya ada korelasi yang signifikan.

5. ANALISIS REGRESI

Regression

Variables Entered/Removedb

ModelVariables Entered

Variables Removed Method

1 Posttesta . Enter

a. All requested variables entered.

b. Dependent Variable: Pretest

Model Summaryb

Model R R SquareAdjusted R

SquareStd. Error of the Estimate

1 .286a .082 .058 6,2846

a. Predictors: (Constant), Posttest


Pada bagian Model Summary, terdapat nilai koefisien determinasi R-Square = 0,082 (8,2 %). Ini menunjukkan bahwa sebesar 8,

2 % variasi variable dependent (Pretest) dapat di jelaskna oleh variable independent (X1 dan X2), artinya pengaruh variable independen

terhadap perubahan variable dependen adalah 8,2 %, sedangkan sisanya sebesar 91,8% dipengaruhi oleh variable lain selain variable

independen X1 dan X2.

ANOVAb

ModelSum of Squares df Mean Square F Sig.

1 Regression 133.836 1 133.836 3.389 .073a

Residual 1500.858 38 39.496

Total 1634.694 39

a. Predictors: (Constant), Posttest


Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t Sig.B Std. Error Beta

1 (Constant) 31.694 6.577 4.819 .000

Posttest .192 .104 .286 1.841 .073

a. Dependent Variable: Pretest

Residuals Statisticsa

Minimum Maximum MeanStd.

Deviation N

Predicted Value 40,465 47,647 43,662 1,8525 40

Residual-14,4635 14,8532

-3,7886E-

156,2035 40

Std. Predicted Value

-1.726 2.151 .000 1.000 40

Std. Residual -2.301 2.363 .000 .987 40

a. Dependent Variable: Pretest

6. ANALISIS NON PARAMETRIK

Frequencies

Pretest

Observed N Expected N Residual

29.2 1 4.4 -3.4

37.5 10 4.4 5.6

41.7 12 4.4 7.6

45.8 9 4.4 4.6

50 3 4.4 -1.4

50.5 1 4.4 -3.4

54.2 2 4.4 -2.4

58.3 1 4.4 -3.4

62.5 1 4.4 -3.4

Total 40

Posttest

Observed N Expected N Residual

45.8 4 4.0 .0

50 2 4.0 -2.0

54.2 4 4.0 .0

58.3 7 4.0 3.0

62.5 6 4.0 2.0

66.7 6 4.0 2.0

70.8 6 4.0 2.0

75 2 4.0 -2.0

79.2 2 4.0 -2.0

83.3 1 4.0 -3.0

Total 40

Output Dan Kesimpulan

Documents

Transcript of Output Dan Kesimpulan