Azizatur Rohmah.docx

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Nama : Azizatur rohmah Nim :161810201057 1. Satu arah Seorang guru ingimn mengetahui ke tiga metode belajar yaitu A, B,dan C mempunyai efek yang sama. Ke tiga metode tersebut di cobakan pada 3 kelas 12 IPA A,B, dan C. Setelah di terapkan hasilnya Kelas A 7 8 9 6 8

Kelas B 6 7 9 7 7

Kelas C 6 7 8 9 7

One-way ANOVA: C4 versus C5 Method Null hypothesis Alternative hypothesis Significance level

All means are equal At least one mean is different α = 0.05

Equal variances were assumed for the analysis. Factor Information Factor C5

Levels 3

Values A, B, C

Analysis of Variance Source C5 Error Total

DF 2 12 14

Adj SS 0.4000 15.2000 15.6000

Adj MS 0.2000 1.2667

F-Value 0.16

Model Summary S 1.12546

R-sq 2.56%

R-sq(adj) 0.00%

R-sq(pred) 0.00%

Means C5 A B C

N 5 5 5

Mean 7.600 7.200 7.400

StDev 1.140 1.095 1.140

95% (6.503, (6.103, (6.303,

Pooled StDev = 1.12546

CI 8.697) 8.297) 8.497)

P-Value 0.856

Tukey Pairwise Comparisons Grouping Information Using the Tukey Method and 95% Confidence C5 A C B

N 5 5 5

Mean 7.600 7.400 7.200

Grouping A A A

Means that do not share a letter are significantly different.

Jadi kesimpulannya metode yang digunakan oleh guru tersebut bisa di terima oleh murid karena, H0 < P -value 2. Anova 2 arah 3 varietas kentang hendak di bandingkan hasilnya percobaan hendak dilakukan dengan menggunakan 9 petak yang seragam di masing-masing tempat yang berbeda. Di setiap lokasi setiap varietas di cobakan pada 3 petak yang di tentukan secara acak. jenis 1 1 1 2 2 2 3 3 3 4 4 4

Kualitas A 2 3 4 5 1 3 6 7 4 6 3 7

Kualitas B 2 7 7 6 1 7 2 6 4 4 3 2

Kualitas C 2 4 4 3 2 4 5 6 2 4 3 7

General Linear Model: jenis versus kualitas A, B, C The following terms cannot be estimated and were removed: B, C, kualitas A*B, kualitas A*C, B*C Method Factor coding

(-1, 0, +1)

Factor Information Factor

Type

Levels

Values

kualitas A

Fixed

7

1, 2, 3, 4, 5, 6, 7

Analysis of Variance Source kualitas A Error Lack-of-Fit Pure Error Total

DF 6 5 4 1 11

Adj SS 7.3333 7.6667 7.1667 0.5000 15.0000

Adj MS 1.2222 1.5333 1.7917 0.5000

F-Value 0.80

P-Value 0.610

3.58

0.375

Model Summary S 1.23828

R-sq 48.89%

R-sq(adj) 0.00%

R-sq(pred) *

Coefficients Term Constant kualitas A 1 2 3 4 5 6

Coef 2.333

SE Coef 0.389

T-Value 6.00

P-Value 0.002

VIF

-0.33 -1.33 0.000 -0.333 -0.33 1.167

1.12 1.12 0.719 0.836 1.12 0.836

-0.30 -1.19 0.00 -0.40 -0.30 1.40

0.777 0.286 1.000 0.707 0.777 0.222

2.37 2.37 1.66 1.82 2.37 1.82

Regression Equation jenis = 2.333 - 0.33 kualitas A_1 - 1.33 kualitas A_2 + 0.000 kualitas A_3 - 0.333 kualitas A_4 - 0.33 kualitas A_5 + 1.167 kualitas A_6 + 1.167 kualitas A_7 Fits and Diagnostics for Unusual Observations Obs 1 4 5

jenis 1.000 2.000 2.000

Fit 1.000 2.000 2.000

Resid 0.000 0.000 -0.000

Std Resid * * *

X X X

Jadi kesimpulannya tanaman kentag yang di tanam dapat tumuh dengan baik pada setiap petak tanah H0 < P –value. 3.Uji regresi data sebagai berikut No 1 2 3

X(tinggi badan) 156 150 145

Y(berat badan) 56 50 49

4 5

165 155

56 59

Regression Analysis: y versus x Analysis of Variance Source Regression x Error Total

DF 1 1 3 4

Adj SS 37.99 37.99 36.01 74.00

Adj MS 37.99 37.99 12.00

F-Value 3.16 3.16

P-Value 0.173 0.173

Model Summary S 3.46462

R-sq 51.34%

R-sq(adj) 35.12%

R-sq(pred) 0.00%

Coefficients Term Constant x

Coef -9.7 0.413

SE Coef 35.8 0.232

Regression Equation y = -9.7 + 0.413 x

T-Value -0.27 1.78

P-Value 0.805 0.173

VIF 1.00

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