Bang 3.21
Khu Dan Cu & Giao Thong
set.seed(123)
G1<-c(rnorm(154,mean=4.04,sd=0.8))
G2<-c(rnorm(272,mean=4.07,sd=0.8))
t<-t.test(G1,G2, var.equal = F)
t
Welch Two Sample t-test
data: G1 and G2
t = -0.86284, df = 326.18, p-value = 0.3889
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.21840482 0.08523058
sample estimates:
mean of x mean of y
4.025591 4.092178 Nha Nuoc va Doanh Nghiep
set.seed(123)
G1<-c(rnorm(131,mean=3.99,sd=1))
G2<-c(rnorm(295,mean=4.99,sd=0.1))
t<-t.test(G1,G2, var.equal = F)
t
Welch Two Sample t-test
data: G1 and G2
t = -12.6, df = 131.44, p-value < 2.2e-16
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-1.1386334 -0.8296281
sample estimates:
mean of x mean of y
4.006742 4.990872 Bang 3.25
Bac Son
set.seed(123)
G1<-c(rnorm(76,mean=3.54,sd=1))
G2<-c(rnorm(76,mean=3.14,sd=1.2))
t<-t.test(G1,G2, var.equal = F)
t
Welch Two Sample t-test
data: G1 and G2
t = 3.0486, df = 143.79, p-value = 0.002737
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
0.1828588 0.8571697
sample estimates:
mean of x mean of y
3.579497 3.059483 Bac Son Keo Dai
set.seed(123)
G1<-c(rnorm(101,mean=3.56,sd=1))
G2<-c(rnorm(101,mean=3.23,sd=1.2))
t<-t.test(G1,G2, var.equal = F)
t
Welch Two Sample t-test
data: G1 and G2
t = 3.2749, df = 186.87, p-value = 0.00126
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
0.1948708 0.7853242
sample estimates:
mean of x mean of y
3.642477 3.152380 Duong Viet Bac
set.seed(132)
G1<-c(rnorm(95,2.97,1.5))
G2<-c(rnorm(95,3.25,1.2))
t<-t.test(G1,G2, var.equal = F)
t
Welch Two Sample t-test
data: G1 and G2
t = -0.89682, df = 187.96, p-value = 0.371
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.5739505 0.2151884
sample estimates:
mean of x mean of y
3.126545 3.305926 Dan Cu So 5
set.seed(123)
G1<-c(rnorm(55,3.21,0.5))
G2<-c(rnorm(55,3.21,0.5))
t<-t.test(G1,G2, var.equal = F)
t
Welch Two Sample t-test
data: G1 and G2
t = 0.10578, df = 107.98, p-value = 0.916
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.1625108 0.1808328
sample estimates:
mean of x mean of y
3.237681 3.228520 Dan Cu 7A va 7B
set.seed(34)
G1<-c(rnorm(99,3.25,1))
G2<-c(rnorm(99,3.27,1.2))
t<-t.test(G1,G2, var.equal = F)
t
Welch Two Sample t-test
data: G1 and G2
t = -1.1409, df = 185.41, p-value = 0.2554
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.5017853 0.1340624
sample estimates:
mean of x mean of y
3.235327 3.419189 Nhom Dan cu & Duong GT
set.seed(123)
G1<-c(rnorm(154,3.25,0.5))
G2<-c(rnorm(272,3.21,0.5))
t<-t.test(G1,G2, var.equal = F)
t
Welch Two Sample t-test
data: G1 and G2
t = 0.35522, df = 326.18, p-value = 0.7227
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.07775301 0.11201912
sample estimates:
mean of x mean of y
3.240994 3.223861 Danh Nghieo & Nha Nuoc
set.seed(123)
G1<-c(rnorm(131,3.17,1))
G2<-c(rnorm(295,3.25,1.2))
t<-t.test(G1,G2, var.equal = F)
t
Welch Two Sample t-test
data: G1 and G2
t = -0.70587, df = 327.98, p-value = 0.4808
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.2792002 0.1317470
sample estimates:
mean of x mean of y
3.186742 3.260468 Bang 3.27
Duong Bac Son
set.seed(23)
G1<-c(rnorm(76,mean=3.32,sd=0.5))
G2<-c(rnorm(76,mean=3.50,sd=0.5))
t<-t.test(G1,G2, var.equal = F)
t
Welch Two Sample t-test
data: G1 and G2
t = -2.8824, df = 147.52, p-value = 0.004537
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.37775875 -0.07045704
sample estimates:
mean of x mean of y
3.341961 3.566068 Duong Bac Son Keo Dai
set.seed(123)
G1<-c(rnorm(101,3.52,1))
G2<-c(rnorm(101,3.34,1.2))
t<-t.test(G1,G2, var.equal = F)
t
Welch Two Sample t-test
data: G1 and G2
t = 2.2726, df = 186.87, p-value = 0.02419
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
0.04487076 0.63532418
sample estimates:
mean of x mean of y
3.602477 3.262380 Duong Viet Bac
set.seed(123)
G1<-c(rnorm(95,2.82,1.8))
G2<-c(rnorm(95,2.90,1.2))
t<-t.test(G1,G2, var.equal = F)
t
Welch Two Sample t-test
data: G1 and G2
t = 0.66004, df = 173.28, p-value = 0.5101
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.2681708 0.5376405
sample estimates:
mean of x mean of y
2.956099 2.821365 Khu dan cu so 5
set.seed(123)
G1<-c(rnorm(55,2.96,1))
G2<-c(rnorm(55,3.26,1.2))
t<-t.test(G1,G2, var.equal = F)
t
Welch Two Sample t-test
data: G1 and G2
t = -1.5089, df = 104.05, p-value = 0.1343
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.66899706 0.09082503
sample estimates:
mean of x mean of y
3.015362 3.304448 Khu dan cu so 7A va 7B
set.seed(34)
G1<-c(rnorm(99,3.12,1))
G2<-c(rnorm(99,3.38,1.2))
t<-t.test(G1,G2, var.equal = F)
t
Welch Two Sample t-test
data: G1 and G2
t = -2.6302, df = 185.41, p-value = 0.00925
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.7417853 -0.1059376
sample estimates:
mean of x mean of y
3.105327 3.529189 Khu dan su & GT
set.seed(123)
G1<-c(rnorm(154,3.34,0.5))
G2<-c(rnorm(272,3.23,0.5))
t<-t.test(G1,G2, var.equal = F)
t
Welch Two Sample t-test
data: G1 and G2
t = 1.8065, df = 326.18, p-value = 0.07176
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.007753011 0.182019116
sample estimates:
mean of x mean of y
3.330994 3.243861 Nha nuoc & doanh nghiep
set.seed(123)
G1<-c(rnorm(131,3.40,0.5))
G2<-c(rnorm(295,3.21,0.5))
t<-t.test(G1,G2, var.equal = F)
t
Welch Two Sample t-test
data: G1 and G2
t = 3.9958, df = 276.51, p-value = 8.275e-05
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
0.09842793 0.28959020
sample estimates:
mean of x mean of y
3.408371 3.214362