Nilai tugas statistika

Nilai Tugas
Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 19,531a
15 ,191
Likelihood Ratio 22,646 15 ,092
Linear-by-Linear
Association
,000 1 ,982
N of Valid Cases 30
a. 24 cells (100,0%) have expected countless than 5. The minimum
expected count is ,40.
Chisquare=19,531
Sig(p)=0,191
Hipotesis:
Sig(P)>0,05 -> Ho diterima
Nilai UTS
Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 60,625a
60 ,453
Likelihood Ratio 63,349 60 ,359
Linear-by-Linear
Association
,198 1 ,657
N of Valid Cases 30
a. 84 cells (100,0%) have expected count less than 5.The minimum
expected count is ,20.
Chisquare=60,625
Sig(p)=0,453
Hipotesis:
Sig(P)>0,05 -> Ho diterima
Nilai UAS
Chi-Square Tests
Value df Asymp. Sig. (2-
sided)
Pearson Chi-Square 59,375a
60 ,499
Likelihood Ratio 60,577 60 ,455
Linear-by-Linear
Association
,120 1 ,729
N of Valid Cases 30
a. 84 cells (100,0%) have expected count less than 5.The minimum
expected count is ,20.
Chisquare=59,375
Sig(p)=0,499
Hipotesis:
Sig(P)>0,05 -> Ho diterima

Recomendados

Sine & cosine of obtuse angle von
Sine & cosine of obtuse angleSine & cosine of obtuse angle
Sine & cosine of obtuse angleshaminakhan
2.7K views10 Folien
Ejerciciooo3 von
Ejerciciooo3Ejerciciooo3
Ejerciciooo3DanielRojas118002
74 views4 Folien
Quadratic Functions von
Quadratic FunctionsQuadratic Functions
Quadratic Functionsingroy
1.2K views18 Folien
report_2_v2 von
report_2_v2report_2_v2
report_2_v2Islam Mansour
391 views10 Folien
10.4 surface area of prisms & cylinders 2 von
10.4 surface area of prisms & cylinders   210.4 surface area of prisms & cylinders   2
10.4 surface area of prisms & cylinders 2bweldon
428 views5 Folien
Solids of known cross section WS von
Solids of known cross section WSSolids of known cross section WS
Solids of known cross section WSGarth Bowden
125 views2 Folien

Más contenido relacionado

Was ist angesagt?

Num Integration von
Num IntegrationNum Integration
Num Integrationmuhdisys
666 views27 Folien
Estadistica compleja trab von
Estadistica compleja trabEstadistica compleja trab
Estadistica compleja trabLiliana Maldonado
464 views6 Folien
Obj. 41 Geometric Probability von
Obj. 41 Geometric ProbabilityObj. 41 Geometric Probability
Obj. 41 Geometric Probabilitysmiller5
5.5K views9 Folien
Math unit16 data presentation von
Math unit16 data presentationMath unit16 data presentation
Math unit16 data presentationeLearningJa
724 views11 Folien
Sild show von
Sild showSild show
Sild show42059730
568 views5 Folien
Presentation on Numerical Method (Trapezoidal Method) von
Presentation on Numerical Method (Trapezoidal Method)Presentation on Numerical Method (Trapezoidal Method)
Presentation on Numerical Method (Trapezoidal Method)Syed Ahmed Zaki
15.3K views21 Folien

Was ist angesagt?(20)

Num Integration von muhdisys
Num IntegrationNum Integration
Num Integration
muhdisys666 views
Obj. 41 Geometric Probability von smiller5
Obj. 41 Geometric ProbabilityObj. 41 Geometric Probability
Obj. 41 Geometric Probability
smiller55.5K views
Math unit16 data presentation von eLearningJa
Math unit16 data presentationMath unit16 data presentation
Math unit16 data presentation
eLearningJa724 views
Sild show von 42059730
Sild showSild show
Sild show
42059730568 views
Presentation on Numerical Method (Trapezoidal Method) von Syed Ahmed Zaki
Presentation on Numerical Method (Trapezoidal Method)Presentation on Numerical Method (Trapezoidal Method)
Presentation on Numerical Method (Trapezoidal Method)
Syed Ahmed Zaki15.3K views
Obj. 48 Geometric Probability von smiller5
Obj. 48 Geometric ProbabilityObj. 48 Geometric Probability
Obj. 48 Geometric Probability
smiller53.5K views
Space diagonal lesson von lothomas
Space diagonal lessonSpace diagonal lesson
Space diagonal lesson
lothomas1K views
Integration application (Aplikasi Integral) von Muhammad Luthfan
Integration application (Aplikasi Integral)Integration application (Aplikasi Integral)
Integration application (Aplikasi Integral)
Muhammad Luthfan1.5K views
Quadratics Final von pelican24
Quadratics FinalQuadratics Final
Quadratics Final
pelican24349 views
5.13.3 Geometric Probability and Changing Dimensions von smiller5
5.13.3 Geometric Probability and Changing Dimensions5.13.3 Geometric Probability and Changing Dimensions
5.13.3 Geometric Probability and Changing Dimensions
smiller51K views
[Question Paper] Advanced SQL (Old Course) [April / 2015] von Mumbai B.Sc.IT Study
[Question Paper] Advanced SQL (Old Course) [April / 2015][Question Paper] Advanced SQL (Old Course) [April / 2015]
[Question Paper] Advanced SQL (Old Course) [April / 2015]
MATLAB : Numerical Differention and Integration von Ainul Islam
MATLAB : Numerical Differention and IntegrationMATLAB : Numerical Differention and Integration
MATLAB : Numerical Differention and Integration
Ainul Islam2.2K views

Nilai tugas statistika

  • 1. Nilai Tugas Chi-Square Tests Value df Asymp. Sig. (2- sided) Pearson Chi-Square 19,531a 15 ,191 Likelihood Ratio 22,646 15 ,092 Linear-by-Linear Association ,000 1 ,982 N of Valid Cases 30 a. 24 cells (100,0%) have expected countless than 5. The minimum expected count is ,40. Chisquare=19,531 Sig(p)=0,191 Hipotesis: Sig(P)>0,05 -> Ho diterima Nilai UTS Chi-Square Tests Value df Asymp. Sig. (2- sided) Pearson Chi-Square 60,625a 60 ,453 Likelihood Ratio 63,349 60 ,359 Linear-by-Linear Association ,198 1 ,657 N of Valid Cases 30 a. 84 cells (100,0%) have expected count less than 5.The minimum expected count is ,20. Chisquare=60,625 Sig(p)=0,453 Hipotesis: Sig(P)>0,05 -> Ho diterima Nilai UAS Chi-Square Tests Value df Asymp. Sig. (2- sided) Pearson Chi-Square 59,375a 60 ,499 Likelihood Ratio 60,577 60 ,455
  • 2. Linear-by-Linear Association ,120 1 ,729 N of Valid Cases 30 a. 84 cells (100,0%) have expected count less than 5.The minimum expected count is ,20. Chisquare=59,375 Sig(p)=0,499 Hipotesis: Sig(P)>0,05 -> Ho diterima