Sunday, May 9, 2021

SOAL UJUAN STATISTIK SPSS

 

SOALl

PT Un~klenger yang memproduksi mie instant selama ini menjual mie dalam 2 rasa yaitu KARl AYAM dan GORENG PEDAS. Untuk mengetahui apakah ada perbedaan omset penjualan kedua rasa tersebut di Malang Raya, Manajer Penjualan PT Unit~nger mengambil sampel amset penjualan dari 2 kota Malang Raya yaitu Malang dan Batu. dengan pengamatan yang dilakukan selama 14 han, diperoleh data Ilasil sbb :

 

Harl ke

KARIAYAM

GORENG

 

 

 

PEDAS

KOTA

1

250

302

BATU

2

255

312

BATU

3

254

295

MALANG

4

275

225

BATU

5

255

245

MALANG

6

275

280

MALANG

7

244

215

BATU

8

312

350

MALANG

9

210

205

MALANG

10

245

246

BATU

11

178

174

MALANG

12

295

297

BATU

13

425

420

MALANG

14

244

225

BATU

ASUMSI : Data berdistribusi Normal, gunakan aHa 0,05 Varians diansumsikan sama

ON THE JOB :

1.    Tentukan formulasi HO dan H1

2.   Ekspor hasil uji SPSS ke dalam MS Word

3.    Berikan kesimpulan

 

T-TEST GROUPS=KOTA(1 2)

  /MISSING=ANALYSIS

  /VARIABLES=KARIAYAM GODAS

  /CRITERIA=CI(.95).

 

T-Test

Notes

Output Created

19-APR-2016 16:13:49

Comments

 

Input

Active Dataset

DataSet2

Filter

<none>

Weight

<none>

Split File

<none>

N of Rows in Working Data File

14

Missing Value Handling

Definition of Missing

User defined missing values are treated as missing.

Cases Used

Statistics for each analysis are based on the cases with no missing or out-of-range data for any variable in the analysis.

Syntax

T-TEST GROUPS=KOTA(1 2)

  /MISSING=ANALYSIS

  /VARIABLES=KARIAYAM GODAS

  /CRITERIA=CI(.95).

Resources

Processor Time

00:00:00.05

Elapsed Time

00:00:00.08

 

 

Group Statistics

 

KOTA

N

Mean

Std. Deviation

Std. Error Mean

KARIAYAM

BATU

7

258.2857

19.54238

7.38633

MALANG

7

272.7143

79.90351

30.20069

GODAS

BATU

7

260.2857

41.84780

15.81698

MALANG

7

281.2857

84.45850

31.92231

 

 

Independent Samples Test

 

 

Levene's Test for Equality of Variances

t-test for Equality of Means

 

F

Sig.

t

df

KARIAYAM

Equal variances assumed

3.865

.073

-.464

12

 

Equal variances not assumed

 

 

-.464

6.715

 

GODAS

Equal variances assumed

1.810

.203

-.589

12

 

Equal variances not assumed

 

 

-.589

8.779

 

 

Independent Samples Test

 

 

t-test for Equality of Means

 

Sig. (2-tailed)

Mean Difference

Std. Error Difference

KARIAYAM

Equal variances assumed

.651

-14.42857

31.09083

 

Equal variances not assumed

.657

-14.42857

31.09083

 

GODAS

Equal variances assumed

.566

-21.00000

35.62599

 

Equal variances not assumed

.570

-21.00000

35.62599

 

 

Independent Samples Test

 

t-test for Equality of Means

95% Confidence Interval of the Difference

Lower

Upper

KARIAYAM

Equal variances assumed

-82.16966

53.31252

Equal variances not assumed

-88.58341

59.72627

GODAS

Equal variances assumed

-98.62236

56.62236

Equal variances not assumed

-101.90251

59.90251

 

 

Independent samplety test

H0 = tidak ada perbedaan omset

H1 =  ada perbedaan omset          

Alfa = 0.05

H0 ditolak jika pval < alfa

Tinggi

0.073 >  sisa tk kepercayaan

0.073 > 0.05

Berat

0.203 > sisa tk kepercayaan

0.203 > 0.05

Kesimpulan statistic :

Karena p value tinggi badan  = 0.073  >  alfa maka h0 diterima yang berarti  tidak ada perbedaan omset penjualan

Karena p value berat badan = 0.203 > alfa maka h0 diterima  yang berarti tidak ada perbedaan omset penjualan

Kesimpulan penelitian :

Tidak ada perbedaan omset penjualan antara mie instan rasa kari ayam dan rasa goring pedas


 

SOAL 2

Hasan adalah seorang sales di sebuah perusahaan roti. Menurut data yang didapat Hasan mampu menjual roti rasa durian sebanyak 320 buah. Manajer penjualan menganggap penjualan Hasan berbeda dengan rekan-rekannya karena Hasan adalah pna dan berpendidikan SMA. Benarkah pernyataan seperti itu?

Data mentah sbb .

Pendidikan

Gender

Kacang

Durian

Coklat

Susu

Nanas

 1

0

250

300

298

325

100

1

1

234

320

254

312

150

1

1

220

324

315

450

60

1

0

245

315

387

500

94

1

1

281

400

200

268

65

1

0

220

420

145

351

102

2

1

256

398

256

245

94

2

1

238

375

200

221

95

2

1

210

364

214

621

64

2

1

310

325

269

235

120

2

0

287

410

254

214

113

2

0

254

425

225

230

111

Variabel Vtew

Name

label

Value

Pendidikan

Tk. Pendidikan

1 = SMA

 

 

2= SMP

Gender

Jenis Kelamll

1 = Pria

 

 

O=Wanka

Kacang

Jenis Roti yang di Jual

 

Durian

 

 

Coklat

 

 

Susu

 

 

Nanas

 

 

ASUMSI : Data berdistribusi Normal, gunakan aHa 0,05

ON THE JOB:

1.    Tentukan formulasi HO dan H1

2.   Ekspo< hasil uji SPSS ke dalam MS Word

3.    Berikan kesimpulan

 

GLM KACANG DURIAN COKLAT SUSU NANAS BY PENDIDIKAN GENDER

  /METHOD=SSTYPE(3)

  /INTERCEPT=INCLUDE

  /POSTHOC=PENDIDIKAN(TUKEY)

  /PLOT=PROFILE(PENDIDIKAN*GENDER)

  /EMMEANS=TABLES(PENDIDIKAN)

  /EMMEANS=TABLES(GENDER)

  /EMMEANS=TABLES(PENDIDIKAN*GENDER)

  /PRINT=DESCRIPTIVE

  /CRITERIA=ALPHA(.05)

  /DESIGN= PENDIDIKAN GENDER PENDIDIKAN*GENDER.

 

General Linear Model

 

Notes

Output Created

19-APR-2016 17:44:37

Comments

 

Input

Active Dataset

DataSet0

Filter

<none>

Weight

<none>

Split File

<none>

N of Rows in Working Data File

12

Missing Value Handling

Definition of Missing

User-defined missing values are treated as missing.

Cases Used

Statistics are based on all cases with valid data for all variables in the model.

Syntax

GLM KACANG DURIAN COKLAT SUSU NANAS BY PENDIDIKAN GENDER

  /METHOD=SSTYPE(3)

  /INTERCEPT=INCLUDE

  /POSTHOC=PENDIDIKAN(TUKEY)

  /PLOT=PROFILE(PENDIDIKAN*GENDER)

  /EMMEANS=TABLES(PENDIDIKAN)

  /EMMEANS=TABLES(GENDER)

  /EMMEANS=TABLES(PENDIDIKAN*GENDER)

  /PRINT=DESCRIPTIVE

  /CRITERIA=ALPHA(.05)

  /DESIGN= PENDIDIKAN GENDER PENDIDIKAN*GENDER.

Resources

Processor Time

00:00:01,02

Elapsed Time

00:00:00,97

 

 

Between-Subjects Factors

 

Value Label

N

PENDIDIKAN

1

SMA

6

2

SMP

6

GENDER

0

WANITA

5

1

PRIA

7

 

 

Descriptive Statistics

 

PENDIDIKAN

GENDER

Mean

Std. Deviation

N

KACANG

SMA

WANITA

238,33

16,073

3

PRIA

245,00

31,953

3

Total

241,67

22,914

6

SMP

WANITA

270,50

23,335

2

PRIA

228,50

64,112

4

Total

242,50

55,186

6

Total

WANITA

251,20

23,994

5

PRIA

235,57

49,732

7

Total

242,08

40,289

12

DURIAN

SMA

WANITA

345,00

65,383

3

PRIA

348,00

45,078

3

Total

346,50

50,254

6

SMP

WANITA

417,50

10,607

2

PRIA

365,50

30,490

4

Total

382,83

36,074

6

Total

WANITA

374,00

61,176

5

PRIA

358,00

35,067

7

Total

364,67

45,820

12

COKLAT

SMA

WANITA

276,67

122,402

3

PRIA

256,33

57,535

3

Total

266,50

86,262

6

SMP

WANITA

239,50

20,506

2

PRIA

234,75

32,979

4

Total

236,33

27,252

6

Total

WANITA

261,80

89,503

5

PRIA

244,00

42,194

7

Total

251,42

62,993

12

SUSU

SMA

WANITA

392,00

94,430

3

PRIA

343,33

94,960

3

Total

367,67

88,793

6

SMP

WANITA

222,00

11,314

2

PRIA

330,50

193,917

4

Total

294,33

160,397

6

Total

WANITA

324,00

114,719

5

PRIA

336,00

147,833

7

Total

331,00

129,401

12

NANAS

SMA

WANITA

98,67

4,163

3

PRIA

91,67

50,580

3

Total

95,17

32,326

6

SMP

WANITA

112,00

1,414

2

PRIA

93,25

22,911

4

Total

99,50

20,226

6

Total

WANITA

104,00

7,906

5

PRIA

92,57

33,406

7

Total

97,33

25,808

12

 

 

Multivariate Testsa

Effect

Value

F

Hypothesis df

Error df

Intercept

Pillai's Trace

,999

1238,492b

5,000

4,000

Wilks' Lambda

,001

1238,492b

5,000

4,000

Hotelling's Trace

1548,115

1238,492b

5,000

4,000

Roy's Largest Root

1548,115

1238,492b

5,000

4,000

PENDIDIKAN

Pillai's Trace

,508

,828b

5,000

4,000

Wilks' Lambda

,492

,828b

5,000

4,000

Hotelling's Trace

1,034

,828b

5,000

4,000

Roy's Largest Root

1,034

,828b

5,000

4,000

GENDER

Pillai's Trace

,605

1,224b

5,000

4,000

Wilks' Lambda

,395

1,224b

5,000

4,000

Hotelling's Trace

1,530

1,224b

5,000

4,000

Roy's Largest Root

1,530

1,224b

5,000

4,000

PENDIDIKAN * GENDER

Pillai's Trace

,465

,695b

5,000

4,000

Wilks' Lambda

,535

,695b

5,000

4,000

Hotelling's Trace

,869

,695b

5,000

4,000

Roy's Largest Root

,869

,695b

5,000

4,000

 

Multivariate Testsa

Effect

Sig.

Intercept

Pillai's Trace

,000

Wilks' Lambda

,000

Hotelling's Trace

,000

Roy's Largest Root

,000

PENDIDIKAN

Pillai's Trace

,589

Wilks' Lambda

,589

Hotelling's Trace

,589

Roy's Largest Root

,589

GENDER

Pillai's Trace

,435

Wilks' Lambda

,435

Hotelling's Trace

,435

Roy's Largest Root

,435

PENDIDIKAN * GENDER

Pillai's Trace

,655

Wilks' Lambda

,655

Hotelling's Trace

,655

Roy's Largest Root

,655

 

a. Design: Intercept + PENDIDIKAN + GENDER + PENDIDIKAN * GENDER

b. Exact statistic

 

 

Tests of Between-Subjects Effects

Source

Dependent Variable

Type III Sum of Squares

df

Mean Square

F

Sig.

Corrected Model

KACANG

2420,750a

3

806,917

,418

,745

DURIAN

7579,167b

3

2526,389

1,303

,339

COKLAT

3380,333c

3

1126,778

,224

,877

SUSU

35382,333d

3

11794,111

,634

,614

NANAS

598,583e

3

199,528

,237

,868

Intercept

KACANG

681161,490

1

681161,490

353,067

,000

DURIAN

1537818,353

1

1537818,353

792,920

,000

COKLAT

716154,750

1

716154,750

142,276

,000

SUSU

1170716,255

1

1170716,255

62,938

,000

NANAS

110460,828

1

110460,828

131,343

,000

PENDIDIKAN

KACANG

173,255

1

173,255

,090

,772

DURIAN

5717,647

1

5717,647

2,948

,124

COKLAT

2436,397

1

2436,397

,484

,506

SUSU

23596,255

1

23596,255

1,269

,293

NANAS

157,064

1

157,064

,187

,677

GENDER

KACANG

881,255

1

881,255

,457

,518

DURIAN

1694,824

1

1694,824

,874

,377

COKLAT

444,123

1

444,123

,088

,774

SUSU

2527,078

1

2527,078

,136

,722

NANAS

468,044

1

468,044

,557

,477

PENDIDIKAN * GENDER

KACANG

1671,843

1

1671,843

,867

,379

DURIAN

2135,294

1

2135,294

1,101

,325

COKLAT

171,417

1

171,417

,034

,858

SUSU

17436,255

1

17436,255

,937

,361

NANAS

97,456

1

97,456

,116

,742

Error

KACANG

15434,167

8

1929,271

 

 

DURIAN

15515,500

8

1939,438

 

 

COKLAT

40268,583

8

5033,573

 

 

SUSU

148807,667

8

18600,958

 

 

NANAS

6728,083

8

841,010

 

 

Total

KACANG

721107,000

12

 

 

 

DURIAN

1618876,000

12

 

 

 

COKLAT

802173,000

12

 

 

 

SUSU

1498922,000

12

 

 

 

NANAS

121012,000

12

 

 

 

Corrected Total

KACANG

17854,917

11

 

 

 

DURIAN

23094,667

11

 

 

 

COKLAT

43648,917

11

 

 

 

SUSU

184190,000

11

 

 

 

NANAS

7326,667

11

 

 

 

 

a. R Squared = ,136 (Adjusted R Squared = -,189)

b. R Squared = ,328 (Adjusted R Squared = ,076)

c. R Squared = ,077 (Adjusted R Squared = -,269)

d. R Squared = ,192 (Adjusted R Squared = -,111)

e. R Squared = ,082 (Adjusted R Squared = -,263)

 

Estimated Marginal Means

 

1. PENDIDIKAN

Dependent Variable

PENDIDIKAN

Mean

Std. Error

95% Confidence Interval

Lower Bound

Upper Bound

KACANG

SMA

241,667

17,932

200,316

283,017

SMP

249,500

19,019

205,641

293,359

DURIAN

SMA

346,500

17,979

305,041

387,959

SMP

391,500

19,069

347,526

435,474

COKLAT

SMA

266,500

28,964

199,708

333,292

SMP

237,125

30,721

166,282

307,968

SUSU

SMA

367,667

55,679

239,270

496,063

SMP

276,250

59,057

140,065

412,435

NANAS

SMA

95,167

11,839

67,865

122,468

SMP

102,625

12,557

73,667

131,583

 

 

2. GENDER

Dependent Variable

GENDER

Mean

Std. Error

95% Confidence Interval

Lower Bound

Upper Bound

KACANG

WANITA

254,417

20,048

208,185

300,648

PRIA

236,750

16,774

198,070

275,430

DURIAN

WANITA

381,250

20,101

334,897

427,603

PRIA

356,750

16,818

317,968

395,532

COKLAT

WANITA

258,083

32,383

183,408

332,759

PRIA

245,542

27,094

183,064

308,020

SUSU

WANITA

307,000

62,251

163,449

450,551

PRIA

336,917

52,083

216,813

457,020

NANAS

WANITA

105,333

13,237

74,809

135,857

PRIA

92,458

11,075

66,920

117,996

 

 

3. PENDIDIKAN * GENDER

Dependent Variable

PENDIDIKAN

GENDER

Mean

Std. Error

95% Confidence Interval

Lower Bound

KACANG

SMA

WANITA

238,333

25,359

179,855

PRIA

245,000

25,359

186,522

SMP

WANITA

270,500

31,059

198,879

PRIA

228,500

21,962

177,856

DURIAN

SMA

WANITA

345,000

25,426

286,368

PRIA

348,000

25,426

289,368

SMP

WANITA

417,500

31,140

345,690

PRIA

365,500

22,020

314,723

COKLAT

SMA

WANITA

276,667

40,962

182,209

PRIA

256,333

40,962

161,876

SMP

WANITA

239,500

50,168

123,813

PRIA

234,750

35,474

152,947

SUSU

SMA

WANITA

392,000

78,742

210,420

PRIA

343,333

78,742

161,754

SMP

WANITA

222,000

96,439

-,389

PRIA

330,500

68,193

173,247

NANAS

SMA

WANITA

98,667

16,743

60,057

PRIA

91,667

16,743

53,057

SMP

WANITA

112,000

20,506

64,713

PRIA

93,250

14,500

59,813

 

3. PENDIDIKAN * GENDER

Dependent Variable

PENDIDIKAN

GENDER

95% Confidence Interval

Upper Bound

KACANG

SMA

WANITA

296,812

PRIA

303,478

SMP

WANITA

342,121

PRIA

279,144

DURIAN

SMA

WANITA

403,632

PRIA

406,632

SMP

WANITA

489,310

PRIA

416,277

COKLAT

SMA

WANITA

371,124

PRIA

350,791

SMP

WANITA

355,187

PRIA

316,553

SUSU

SMA

WANITA

573,580

PRIA

524,913

SMP

WANITA

444,389

PRIA

487,753

NANAS

SMA

WANITA

137,277

PRIA

130,277

SMP

WANITA

159,287

PRIA

126,687

 

 

Profile Plots

 

 

KACANG

 

 

 

 

 

 

 

 

 

 

 

 

 

 

DURIAN

 

 

 

 

COKLAT

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

SUSU

 

 

 

 

 

 

NANAS

 

 

 

 

 

SAVE OUTFILE='C:\Users\richa\Documents\TWO WAY ANOVA (1).sav'

  /COMPRESSED.

 

H0 = TIDAK ADA PERBEDAAN

H1 = ADA PERBEDAAN

  1. Two-way anova
  2. P value semua jenis roti > alfa maka H0 diterima yang berarti tidak ada perbedaan antara tingkat pendidikan dan jenis gender untuk semua penjualan roti

 


SOAL3

Seorang manajer ingil mengetahui apakah ada perbedaan tingkat stress pada 16 karyawannya dengan menempatkan 8 orang pada ruangan di lantai bawah (lantai1) dan 8 orang berikutnya di ruang Lantai alas (Lantai 9), berdasarkan kuesioner diperoleh data sebagai berikut :

 

 

Score Stress

Lokasl Lont.1

1.

67

Bawah

2.

65

Bawah

3.

74

Bawah

4.

81

Bawah

5.

74

Bawah

6.

62

Bawah

7.

74

Bawah

8.

76

Bawah

9.

82

Atas

10.

78

Alas

11.

85

Alas

12.

68

Alas

13.

84

Alas

14.

82

Alas

15.

91

Alas

16.

86

Alas

Keterangan : .75 Stress

    < 75 Nonnal

ASUMSI : Data berdistribusi normal, gunakan alfa 0.05

ON THE JOB:

1. Tentukan formulasi HO dan H1

2. Ekspor hasil uji SPSS kedalam MsWord

3. Berikan kesimpulan

 

 

DATASET ACTIVATE DataSet5.

T-TEST PAIRS=ATAS WITH BAWAH (PAIRED)

  /CRITERIA=CI(.9500)

  /MISSING=ANALYSIS.

 

 

T-Test

 

Notes

Output Created

19-APR-2016 18:28:52

Comments

 

Input

Active Dataset

DataSet5

Filter

<none>

Weight

<none>

Split File

<none>

N of Rows in Working Data File

8

Missing Value Handling

Definition of Missing

User defined missing values are treated as missing.

Cases Used

Statistics for each analysis are based on the cases with no missing or out-of-range data for any variable in the analysis.

Syntax

T-TEST PAIRS=ATAS WITH BAWAH (PAIRED)

  /CRITERIA=CI(.9500)

  /MISSING=ANALYSIS.

Resources

Processor Time

00:00:00.02

Elapsed Time

00:00:00.13

 

 

[DataSet5]

 

 

 

Paired Samples Statistics

 

Mean

N

Std. Deviation

Std. Error Mean

Pair 1

ATAS

71.6250

8

6.34570

2.24354

BAWAH

82.0000

8

6.78233

2.39792

 

 

Paired Samples Correlations

 

N

Correlation

Sig.

Pair 1

ATAS & BAWAH

8

-.179

.671

 

 

Paired Samples Test

 

Paired Differences

Mean

Std. Deviation

Std. Error Mean

95% Confidence Interval of the Difference

Lower

Pair 1

ATAS - BAWAH

-10.37500

10.08446

3.56540

-18.80582

 

Paired Samples Test

 

Paired Differences

t

df

Sig. (2-tailed)

95% Confidence Interval of the Difference

Upper

Pair 1

ATAS - BAWAH

-1.94418

-2.910

7

.023

 

Paired sample test

H0 = tidak ada perbedaan tingkat stress

H1 = ada perbedaan tingkat stress

Alfa = 0.05

H0 ditolak jika pval < alfa

0.023 <  sisa tk kepercayaan

0.023 < 0.05

Kesimpulan statistic :

Karena p value = 0.023 <  alfa maka H0 ditolak yang berarti ada perbedaan tingkat stress antara karyawan lantai bawah dengan karyawan lantai atas

Kesimpulan penelitian :

Perbedaan tingkat stress pada karyawan dikarenakan perbedaan penempatan ruang kerja


SOAL4

Seorang Mahasiswa membuat Karya Tulis Ifmiah dengan judul ~ Hubungan Biaya Promosi dan Biaya Distribusi dengan Volume Penjualan ". Pada Rumah Makan Takasimura di kota Malang.

Variabel bebas :

a. Variabel Xl : 8iaya Promosi

b. Variabel X2 : Biaya Distribusi

c. Variabel terikat : Volume Penjualan (Y)

Berikut Dala yang diperoleh :

Xl

X2

Y

500

840

1090

640

980

1300

720

1060

1420

890

1230

1675

1010

1350

1855

1120

1460

2020

1250

1590

2215

1302

1642

2293

1580

1920

2710

1720

2100

2960

1900

2240

3190

2010

2350

3355

2090

2430

3475

2201

2541

3642

2490

2750

3995

2969

2901

4386

Asumsi : Data berdistribusi normal gunakan alfa 0.05

ON THE JOB:

1. Tentukan formulasi HO dan H1

2. Apakah ada korelasi antar variabel ? Jika iya tentukan persamaan regresinya

3. Expo' hasil uji SPSS dalam word

4. Berikan Kesimpulan

 

DATASET ACTIVATE DataSet3.

NEW FILE.

DATASET NAME DataSet5 WINDOW=FRONT.

DATASET ACTIVATE DataSet4.

CORRELATIONS

  /VARIABLES=BIAYAPROMOSI BIAYAADMINISTRASI VOLUMEPENJUALAN

  /PRINT=TWOTAIL NOSIG

  /STATISTICS DESCRIPTIVES

  /MISSING=PAIRWISE.

 

 

 

 

Correlations

 

 

Notes

Output Created

19-APR-2016 18:00:31

Comments

 

Input

Active Dataset

DataSet4

Filter

<none>

Weight

<none>

Split File

<none>

N of Rows in Working Data File

16

Missing Value Handling

Definition of Missing

User-defined missing values are treated as missing.

Cases Used

Statistics for each pair of variables are based on all the cases with valid data for that pair.

Syntax

CORRELATIONS

  /VARIABLES=BIAYAPROMOSI BIAYAADMINISTRASI VOLUMEPENJUALAN

  /PRINT=TWOTAIL NOSIG

  /STATISTICS DESCRIPTIVES

  /MISSING=PAIRWISE.

Resources

Processor Time

00:00:00.05

Elapsed Time

00:00:00.22

 

 

Descriptive Statistics

 

Mean

Std. Deviation

N

BIAYAPROMOSI

1524.5000

714.10373

16

BIAYAADMINISTRASI

1836.5000

657.95289

16

VOLUMEPENJUALAN

2598.8125

1013.21391

16

 

 

Correlations

 

BIAYAPROMOSI

BIAYAADMINISTRASI

VOLUMEPENJUALAN

BIAYAPROMOSI

Pearson Correlation

1

.992**

.997**

Sig. (2-tailed)

 

.000

.000

N

16

16

16

BIAYAADMINISTRASI

Pearson Correlation

.992**

1

.999**

Sig. (2-tailed)

.000

 

.000

N

16

16

16

VOLUMEPENJUALAN

Pearson Correlation

.997**

.999**

1

Sig. (2-tailed)

.000

.000

 

N

16

16

16

 

**. Correlation is significant at the 0.01 level (2-tailed).

 

NONPAR CORR

  /VARIABLES=BIAYAPROMOSI BIAYAADMINISTRASI VOLUMEPENJUALAN

  /PRINT=BOTH TWOTAIL NOSIG

  /MISSING=PAIRWISE.

 

 

 

 

Nonparametric Correlations

 

 

 

Notes

Output Created

19-APR-2016 18:00:32

Comments

 

Input

Active Dataset

DataSet4

Filter

<none>

Weight

<none>

Split File

<none>

N of Rows in Working Data File

16

Missing Value Handling

Definition of Missing

User-defined missing values are treated as missing.

Cases Used

Statistics for each pair of variables are based on all the cases with valid data for that pair.

Syntax

NONPAR CORR

  /VARIABLES=BIAYAPROMOSI BIAYAADMINISTRASI VOLUMEPENJUALAN

  /PRINT=BOTH TWOTAIL NOSIG

  /MISSING=PAIRWISE.

Resources

Processor Time

00:00:00.02

Elapsed Time

00:00:00.05

Number of Cases Allowed

142987 casesa

 

a. Based on availability of workspace memory

 

 

Correlations

 

BIAYAPROMOSI

BIAYAADMINISTRASI

Kendall's tau_b

BIAYAPROMOSI

Correlation Coefficient

1.000

1.000**

Sig. (2-tailed)

.

.

N

16

16

BIAYAADMINISTRASI

Correlation Coefficient

1.000**

1.000

Sig. (2-tailed)

.

.

N

16

16

VOLUMEPENJUALAN

Correlation Coefficient

1.000**

1.000**

Sig. (2-tailed)

.

.

N

16

16

Spearman's rho

BIAYAPROMOSI

Correlation Coefficient

1.000

1.000**

Sig. (2-tailed)

.

.

N

16

16

BIAYAADMINISTRASI

Correlation Coefficient

1.000**

1.000

Sig. (2-tailed)

.

.

N

16

16

VOLUMEPENJUALAN

Correlation Coefficient

1.000**

1.000**

Sig. (2-tailed)

.

.

N

16

16

 

Correlations

 

VOLUMEPENJUALAN

Kendall's tau_b

BIAYAPROMOSI

Correlation Coefficient

1.000**

Sig. (2-tailed)

.

N

16

BIAYAADMINISTRASI

Correlation Coefficient

1.000**

Sig. (2-tailed)

.

N

16

VOLUMEPENJUALAN

Correlation Coefficient

1.000

Sig. (2-tailed)

.

N

16

Spearman's rho

BIAYAPROMOSI

Correlation Coefficient

1.000**

Sig. (2-tailed)

.

N

16

BIAYAADMINISTRASI

Correlation Coefficient

1.000**

Sig. (2-tailed)

.

N

16

VOLUMEPENJUALAN

Correlation Coefficient

1.000

Sig. (2-tailed)

.

N

16

 

**. Correlation is significant at the 0.01 level (2-tailed).

 

CORRELATIONS

  /VARIABLES=BIAYAPROMOSI BIAYAADMINISTRASI VOLUMEPENJUALAN

  /PRINT=TWOTAIL NOSIG

  /STATISTICS DESCRIPTIVES

  /MISSING=PAIRWISE.

 

 

 

 

Correlations

 

 

 

Notes

Output Created

19-APR-2016 18:23:21

Comments

 

Input

Active Dataset

DataSet4

Filter

<none>

Weight

<none>

Split File

<none>

N of Rows in Working Data File

16

Missing Value Handling

Definition of Missing

User-defined missing values are treated as missing.

Cases Used

Statistics for each pair of variables are based on all the cases with valid data for that pair.

Syntax

CORRELATIONS

  /VARIABLES=BIAYAPROMOSI BIAYAADMINISTRASI VOLUMEPENJUALAN

  /PRINT=TWOTAIL NOSIG

  /STATISTICS DESCRIPTIVES

  /MISSING=PAIRWISE.

Resources

Processor Time

00:00:00.03

Elapsed Time

00:00:00.27

 

 

Descriptive Statistics

 

Mean

Std. Deviation

N

BIAYAPROMOSI

1524.5000

714.10373

16

BIAYAADMINISTRASI

1836.5000

657.95289

16

VOLUMEPENJUALAN

2598.8125

1013.21391

16

 

 

Correlations

 

BIAYAPROMOSI

BIAYAADMINISTRASI

VOLUMEPENJUALAN

BIAYAPROMOSI

Pearson Correlation

1

.992**

.997**

Sig. (2-tailed)

 

.000

.000

N

16

16

16

BIAYAADMINISTRASI

Pearson Correlation

.992**

1

.999**

Sig. (2-tailed)

.000

 

.000

N

16

16

16

VOLUMEPENJUALAN

Pearson Correlation

.997**

.999**

1

Sig. (2-tailed)

.000

.000

 

N

16

16

16

 

**. Correlation is significant at the 0.01 level (2-tailed).

 

NONPAR CORR

  /VARIABLES=BIAYAPROMOSI BIAYAADMINISTRASI VOLUMEPENJUALAN

  /PRINT=BOTH TWOTAIL NOSIG

  /MISSING=PAIRWISE.

 

 

 

 

Nonparametric Correlations

 

 

 

Notes

Output Created

19-APR-2016 18:23:21

Comments

 

Input

Active Dataset

DataSet4

Filter

<none>

Weight

<none>

Split File

<none>

N of Rows in Working Data File

16

Missing Value Handling

Definition of Missing

User-defined missing values are treated as missing.

Cases Used

Statistics for each pair of variables are based on all the cases with valid data for that pair.

Syntax

NONPAR CORR

  /VARIABLES=BIAYAPROMOSI BIAYAADMINISTRASI VOLUMEPENJUALAN

  /PRINT=BOTH TWOTAIL NOSIG

  /MISSING=PAIRWISE.

Resources

Processor Time

00:00:00.03

Elapsed Time

00:00:00.10

Number of Cases Allowed

142987 casesa

 

a. Based on availability of workspace memory

 

 

Correlations

 

BIAYAPROMOSI

BIAYAADMINISTRASI

Kendall's tau_b

BIAYAPROMOSI

Correlation Coefficient

1.000

1.000**

Sig. (2-tailed)

.

.

N

16

16

BIAYAADMINISTRASI

Correlation Coefficient

1.000**

1.000

Sig. (2-tailed)

.

.

N

16

16

VOLUMEPENJUALAN

Correlation Coefficient

1.000**

1.000**

Sig. (2-tailed)

.

.

N

16

16

Spearman's rho

BIAYAPROMOSI

Correlation Coefficient

1.000

1.000**

Sig. (2-tailed)

.

.

N

16

16

BIAYAADMINISTRASI

Correlation Coefficient

1.000**

1.000

Sig. (2-tailed)

.

.

N

16

16

VOLUMEPENJUALAN

Correlation Coefficient

1.000**

1.000**

Sig. (2-tailed)

.

.

N

16

16

 

Correlations

 

VOLUMEPENJUALAN

Kendall's tau_b

BIAYAPROMOSI

Correlation Coefficient

1.000**

Sig. (2-tailed)

.

N

16

BIAYAADMINISTRASI

Correlation Coefficient

1.000**

Sig. (2-tailed)

.

N

16

VOLUMEPENJUALAN

Correlation Coefficient

1.000

Sig. (2-tailed)

.

N

16

Spearman's rho

BIAYAPROMOSI

Correlation Coefficient

1.000**

Sig. (2-tailed)

.

N

16

BIAYAADMINISTRASI

Correlation Coefficient

1.000**

Sig. (2-tailed)

.

N

16

VOLUMEPENJUALAN

Correlation Coefficient

1.000

Sig. (2-tailed)

.

N

16

 

**. Correlation is significant at the 0.01 level (2-tailed).

 

REGRESSION

  /MISSING LISTWISE

  /STATISTICS COEFF OUTS R ANOVA

  /CRITERIA=PIN(.05) POUT(.10)

  /NOORIGIN

  /DEPENDENT BIAYAPROMOSI

  /METHOD=ENTER BIAYAADMINISTRASI VOLUMEPENJUALAN

  /SCATTERPLOT=(*SRESID ,*ZPRED)

  /RESIDUALS NORMPROB(ZRESID).

 

 

 

 

Regression

 

 

 

Notes

Output Created

19-APR-2016 18:24:48

Comments

 

Input

Active Dataset

DataSet4

Filter

<none>

Weight

<none>

Split File

<none>

N of Rows in Working Data File

16

Missing Value Handling

Definition of Missing

User-defined missing values are treated as missing.

Cases Used

Statistics are based on cases with no missing values for any variable used.

Syntax

REGRESSION

  /MISSING LISTWISE

  /STATISTICS COEFF OUTS R ANOVA

  /CRITERIA=PIN(.05) POUT(.10)

  /NOORIGIN

  /DEPENDENT BIAYAPROMOSI

  /METHOD=ENTER BIAYAADMINISTRASI VOLUMEPENJUALAN

  /SCATTERPLOT=(*SRESID ,*ZPRED)

  /RESIDUALS NORMPROB(ZRESID).

Resources

Processor Time

00:00:05.26

Elapsed Time

00:00:09.32

Memory Required

1644 bytes

Additional Memory Required for Residual Plots

560 bytes

 

 

Variables Entered/Removeda

Model

Variables Entered

Variables Removed

Method

1

VOLUMEPENJUALAN, BIAYAADMINISTRASIb

.

Enter

 

a. Dependent Variable: BIAYAPROMOSI

b. All requested variables entered.

 

 

Model Summaryb

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

1.000a

1.000

1.000

.26109

 

a. Predictors: (Constant), VOLUMEPENJUALAN, BIAYAADMINISTRASI

b. Dependent Variable: BIAYAPROMOSI

 

 

ANOVAa

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

7649161.114

2

3824580.557

56106094.070

.000b

Residual

.886

13

.068

 

 

Total

7649162.000

15

 

 

 

 

a. Dependent Variable: BIAYAPROMOSI

b. Predictors: (Constant), VOLUMEPENJUALAN, BIAYAADMINISTRASI

 

 

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

-.418

.390

 

-1.073

.303

BIAYAADMINISTRASI

-1.995

.002

-1.838

-874.771

.000

VOLUMEPENJUALAN

1.996

.001

2.833

1348.193

.000

 

a. Dependent Variable: BIAYAPROMOSI

 

 

Residuals Statisticsa

 

Minimum

Maximum

Mean

Std. Deviation

N

Predicted Value

500.0616

2969.0608

1524.5000

714.10369

16

Std. Predicted Value

-1.435

2.023

.000

1.000

16

Standard Error of Predicted Value

.069

.255

.105

.044

16

Adjusted Predicted Value

500.0805

2970.4019

1524.5873

714.28335

16

Residual

-.82543

.34184

.00000

.24306

16

Std. Residual

-3.161

1.309

.000

.931

16

Stud. Residual

-3.517

1.458

-.061

1.068

16

Deleted Residual

-1.40195

.42396

-.08727

.46048

16

Stud. Deleted Residual

-15.348

1.532

-.801

3.918

16

Mahal. Distance

.108

13.413

1.875

3.166

16

Cook's Distance

.000

9.195

.651

2.291

16

Centered Leverage Value

.007

.894

.125

.211

16

 

a. Dependent Variable: BIAYAPROMOSI

 

 

 

Charts

 

 

 

 

 

Korelasi regresi

H0 : Tidak ada hubungan (Korelasi) antara biaya promosi, biaya distribusi dan volume penjualan

H1 : Terdapat hubungan (Korelasi) antara biaya promosi, biaya distribusi dan volume penjualan

Jika Angka Korelasi berkisar ke angka 0 berarti tidak ada korelasi dan jika ke angka 1 berarti korelasinya sempurna.

Tingkat kepercayaan 95 %

Tingkat Signifikansi 5 %

Jika P value > 0,05 maka H0 diterima

Jika P value < 0,05 maka H0 di tolak ( jadi α = 0,05)

KENDALL

Kesimpulan : P Value (0,00)< α (0,05), yang berarti H0 di tolak , berarti terdapat hubungan antara biaya promosi, biaya distribusi dan volume penjualan

SPEARMAN

Kesimpulan : P Value (0,00)< α (0,05), yang berarti H0 di tolak , berarti terdapat hubungan antara biaya promosi, biaya distribusi dan volume penjualan

Persamaan regresi

Y = -1.995x-0.418


SOAL5

Suatu penelaian ingin menyelidiki Ilasil penyuluhan yang menggunakan 4 metode. Metode I, II, III. IV . Sampel diambil dan para mahasiswa, kemudian peniiaian dikelompokkan menjadi 3 yaitu : nilai A, B, C. Apakah ada perbedaan metode penyuluhan berdasarkan hasil <Sari ketiga kategori nilai tersebut ?

Metod.

Nliol

 

 

Penyuluhan

 

 

 

 

A

B

C;

1

10

8

2

II

8

6

6

III

3

2

15

Keterangan :

Metode I : Demonstrasi

Metode II : Diskusi

Metode III : Ceramah

a = 0,05

ON THE JOB:

1. Tentukan formulasi HO dan H1

2. Ekspor hasil uji SPSS kedalam Ms.word

3. Berikan kesimpulan

 

HASIL:

ONEWAY Nilai BY Metode

  /POLYNOMIAL=1

  /STATISTICS DESCRIPTIVES HOMOGENEITY

  /PLOT MEANS

  /MISSING ANALYSIS

  /POSTHOC=DUNCAN LSD ALPHA(0.05).

 

 

 

 

Oneway

 

 

 

Notes

Output Created

19-APR-2016 16:58:42

Comments

 

Input

Active Dataset

DataSet0

Filter

<none>

Weight

<none>

Split File

<none>

N of Rows in Working Data File

9

Missing Value Handling

Definition of Missing

User-defined missing values are treated as missing.

Cases Used

Statistics for each analysis are based on cases with no missing data for any variable in the analysis.

Syntax

ONEWAY Nilai BY Metode

  /POLYNOMIAL=1

  /STATISTICS DESCRIPTIVES HOMOGENEITY

  /PLOT MEANS

  /MISSING ANALYSIS

  /POSTHOC=DUNCAN LSD ALPHA(0.05).

Resources

Processor Time

00:00:01.62

Elapsed Time

00:00:01.75

 

 

[DataSet0]

 

 

 

Descriptives

Nilai

 

N

Mean

Std. Deviation

Std. Error

95% Confidence Interval for Mean

Minimum

Lower Bound

Upper Bound

I

3

6.67

4.163

2.404

-3.68

17.01

2

II

3

6.67

1.155

.667

3.80

9.54

6

III

3

6.67

7.234

4.177

-11.30

24.64

2

Total

9

6.67

4.213

1.404

3.43

9.91

2

 

Descriptives

 

Nilai

 

 

Maximum

I

10

 

II

8

 

III

15

 

Total

15

 

 

 

Test of Homogeneity of Variances

Nilai

Levene Statistic

df1

df2

Sig.

5.449

2

6

.045

 

 

ANOVA

Nilai

 

Sum of Squares

Df

Mean Square

F

Between Groups

(Combined)

.000

2

.000

.000

Linear Term

Contrast

.000

1

.000

.000

Deviation

.000

1

.000

.000

Within Groups

142.000

6

23.667

 

Total

142.000

8

 

 

 

ANOVA

Nilai

 

Sig.

Between Groups

(Combined)

1.000

Linear Term

Contrast

1.000

Deviation

1.000

Within Groups

 

Total

 

 

 

 

Post Hoc Tests

 

 

 

Multiple Comparisons

Dependent Variable: Nilai

 

(I) Metode

(J) Metode

Mean Difference (I-J)

Std. Error

Sig.

95% Confidence Interval

Lower Bound

Upper Bound

LSD

I

II

.000

3.972

1.000

-9.72

9.72

III

.000

3.972

1.000

-9.72

9.72

II

I

.000

3.972

1.000

-9.72

9.72

III

.000

3.972

1.000

-9.72

9.72

III

I

.000

3.972

1.000

-9.72

9.72

II

.000

3.972

1.000

-9.72

9.72

 

 

 

Homogeneous Subsets

 

 

 

Nilai

 

Metode

N

Subset for alpha = 0.05

1

Duncana

I

3

6.67

II

3

6.67

III

3

6.67

Sig.

 

1.000

 

Means for groups in homogeneous subsets are displayed.

a. Uses Harmonic Mean Sample Size = 3.000.

 

 

 

Means Plots

 

 

 

Kesimpulan:

One way anova

H0 = ada perbedaan metode penyuluhan

H1= tidak ada perbedaan penyuluhan

P val                  = 0,045

α                        = 0,05

0,045 < 0,05

Jadi, dapat disimpulkan bahwa P val < α, H0 ditolak yang berarti ada perbedaan metode penyuluhan berdasarkan hasil dari ketiga kategori nilai tersebut.

 

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