Ludvig Londos och Kalle Palm (laddy_ludde@msn.com, kalle.palm@gmail.com)
qdata(c(0.025, 0.975), g$height)
## quantile p
## 2.5% 60 0.025
## 97.5% 73 0.975
trials = do(500) * mean(height, data = resample(g))
qdata(c(0.025, 0.975), trials)
## quantile p
## 2.5% 66.54 0.025
## 97.5% 67.00 0.975
Svar: A
Alla resamplingar gör att “svansarna klipps av”
trials2 = do(500) * median(height, data = resample(g))
qdata(c(0.025, 0.975), trials2)
## quantile p
## 2.5% 66 0.025
## 97.5% 67 0.975
Från 66 till 67.
trials3 = do(1000) * mean(height ~ sex, data = resample(g))
qdata(c(0.025, 0.975), M, data = trials3)
## quantile p
## 2.5% 68.98 0.025
## 97.5% 69.46 0.975
Svar: C
trials4 = do(1000) * mean(height ~ sex, data = resample(g))
qdata(c(0.025, 0.975), F, data = trials4)
## quantile p
## 2.5% 63.89 0.025
## 97.5% 64.35 0.975
Nej, enligt ovan.
bwplot(height ~ sex, data = g)
Ja
C
confint(mm(width ~ sex, data = kids))
## group 2.5 % 97.5 %
## 1 B 8.976 9.404
## 2 G 8.565 9.004
Svar: Stort.
confint(mm(wage ~ sex, data = w))
## group 2.5 % 97.5 %
## 1 F 7.247 8.511
## 2 M 9.413 10.577
Svar: Inget.
confint(mm(wage ~ married, data = w))
## group 2.5 % 97.5 %
## 1 Married 8.861 9.936
## 2 Single 7.571 9.053
Svar: Stort.
confint(mm(wage ~ sector, data = w))
## group 2.5 % 97.5 %
## 1 clerical 6.490 8.355
## 2 const 7.448 11.556
## 3 manag 11.465 13.943
## 4 manuf 6.922 9.150
## 5 other 7.386 9.615
## 6 prof 11.051 12.844
## 7 sales 6.102 9.083
## 8 service 5.529 7.546
Svar: Visst.
Svar: C
Svar: B
Svar: D
Svar: A
samps = do(500) * median(length, data = resample(KidsFeet))
sd(samps)
## [1] 0.2292
Svar: 0.23
samps1 = do(500) * sd(length, data = resample(KidsFeet))
sd(samps1)
## [1] 0.1393
Svar: 0.14
samps2 = do(500) * qdata(0.75, length, data = resample(KidsFeet))
sd(samps2$quantile)
## [1] 0.3371
Svar: 0.34
Svar: D