Sheet1ppt 77Xi-Xbar(Xi-Xbar)^2541053(0)0563752(1)250(3)115523Sigma32023Xbar53stdev2ppt78After TrainingBefore trainingd (diference)(d-dbar)(d-dbar)^21235228726221020550032312191275542422402(3)75205198726623022372672312274(1)08210215(5)(10)9292252223(2)3102492454(1)04601745std dev4

3

3

ppt 80New menuold menudd-dbar(d-dbar)^2136351002484621235051(1)(2)34767421255556(1)(2)36605910077172(1)(2)38666421296261100614dbar1stdev1th2E11E12E11E21E22E23totalE31E32E33Ppt 84ppt 8440455013547434560556017560565840302595333032140130135405x^2 1;11012000020135Fertilizer(Xi-Xbar)^2ppt 87SampleABCDABCD110121194110.02121110100.00.00.013131098111141110108110.01514121010410.01Xbar12.011.010.09.010424S^2 2.51.00.51.0TAO^2
dittoajah: dittoajah:VARIANCE WITHIN SAMPLES1.25Grand 10.5TAOb^22.250.250.252.25TAOb^28.331.003.01.30.63.6

Sheet26observedExpectedexpected yg sudah dibulatkanrendahmenengahtinggidi isi manual yaas113158366.6716.5312.8071713s272215448.1520.2115.6482016s3525255510.1925.2619.56102520256248135

6-2-5-12-1-505

36425141250.0255.140.241.927.300.130.200.060.392.500.01.253.757.770.443.2411.44Xh^2Ho: pendidikan tidak berpengaruh terhadap pendapatanHa: pendidikan berpengaruh terhadap pendapatan

X^2 alpha df (row-1) (column - 1)X^20.05df22alpha0.05df4liat table chy P.7389.488

dibulatkanObserved dikurangi dg expected yg dibulatkandikuadrat kandibagi dengan expected yg sudah di bulatkan

Sheet3