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note.w02 [2025/09/12 19:36] – [7] hkimscilnote.w02 [2025/09/12 19:39] (current) – [Sampling Distribution and z-test] hkimscil
Line 23: Line 23:
 sd(p1) sd(p1)
  
-p2 <- rnorm2(N.p, m.p+5, sd.p)+p2 <- rnorm2(N.p, m.p+20, sd.p)
 mean(p2) mean(p2)
 sd(p2) sd(p2)
Line 31: Line 31:
 var(p1) var(p1)
  
 +hist(p1)
 hist(p1, breaks=50, col = rgb(1, 1, 1, 0.5), hist(p1, breaks=50, col = rgb(1, 1, 1, 0.5),
      main = "histogram of p1 and p2",)      main = "histogram of p1 and p2",)
Line 41: Line 41:
 hist(p1, breaks=50, col=rgb(0,.5,.5,.5)) hist(p1, breaks=50, col=rgb(0,.5,.5,.5))
 abline(v=mean(p1),lwd=2) abline(v=mean(p1),lwd=2)
-abline(v=mean(p1)-sd(p1), lwd=2)+abline(v=m.p1-sd.p1, lwd=2)
 abline(v=mean(p1)+sd(p1), lwd=2) abline(v=mean(p1)+sd(p1), lwd=2)
 abline(v=c(m.p1-2*sd.p1, m.p1+2*sd.p1), lwd=2, col='red') abline(v=c(m.p1-2*sd.p1, m.p1+2*sd.p1), lwd=2, col='red')
Line 60: Line 60:
 pnorm(m.p1+3*sd.p1, m.p1, sd.p1) -  pnorm(m.p1+3*sd.p1, m.p1, sd.p1) - 
   pnorm(m.p1-3*sd.p1, m.p1, sd.p1)   pnorm(m.p1-3*sd.p1, m.p1, sd.p1)
 +
 +pnorm(121, 100, 10) - pnorm(85, 100, 10)
  
 m.p1 m.p1
Line 69: Line 71:
 pnorm(1)-pnorm(-1) pnorm(1)-pnorm(-1)
 pnorm(2)-pnorm(-2) pnorm(2)-pnorm(-2)
-pnorm(3)-pnorm(3)+pnorm(3)-pnorm(-3)
  
 1-pnorm(-2)*2 1-pnorm(-2)*2
Line 154: Line 156:
  
 ################################ ################################
-s.size <- 50+s.size <- 10
  
 means.temp <- c() means.temp <- c()
Line 199: Line 201:
  
 se.z <- sqrt(var(p1)/s.size) se.z <- sqrt(var(p1)/s.size)
 +se.z
 se.z <- c(se.z) se.z <- c(se.z)
 se.z se.z
Line 301: Line 304:
 sd(means) sd(means)
  
-tmp <- mean(means) - (m.s.from.p2 - mean(means))+m.k <- mean(s.from.p2) 
 +se.k <- sd(s.from.p2)/sqrt(s.size) 
 + 
 + 
 +tmp <- mean(means) - (m.s.from.p2  
 +                    - mean(means))
 tmp  tmp 
  
Line 315: Line 323:
 m.s.from.p2 m.s.from.p2
 pnorm(m.s.from.p2, mean(p1), se.z, lower.tail = F) pnorm(m.s.from.p2, mean(p1), se.z, lower.tail = F)
 +pnorm(m.s.from.p2, m.k, se.k, lower.tail = F)
 # then, what is the probabilty of getting  # then, what is the probabilty of getting 
 # greater than m.sample.i.got and # greater than m.sample.i.got and
Line 323: Line 331:
 abline(v=tmp, col='red', lwd=3) abline(v=tmp, col='red', lwd=3)
 2 * pnorm(m.s.from.p2, mean(p1), se.z, lower.tail = F) 2 * pnorm(m.s.from.p2, mean(p1), se.z, lower.tail = F)
 +
 +2 * pnorm(m.s.from.p2, m.k, se.k, lower.tail = F)
 +
  
 se.z se.z
Line 338: Line 349:
 pt(z.cal, 49, lower.tail = F)*2 pt(z.cal, 49, lower.tail = F)*2
 t.test(s.from.p2, mu=mean(p1), var.equal = T) t.test(s.from.p2, mu=mean(p1), var.equal = T)
 +
 +
 +
 </code> </code>
  
Line 756: Line 770:
 </WRAP> </WRAP>
  
 +
 +===== 10 =====
 <WRAP group> <WRAP group>
 <WRAP column half> <WRAP column half>
Line 791: Line 807:
 </WRAP> </WRAP>
 </WRAP> </WRAP>
 +
 +===== 11 =====
  
 <WRAP group> <WRAP group>
Line 824: Line 842:
 </WRAP> </WRAP>
 </WRAP> </WRAP>
 +
 +===== 12 =====
  
 <WRAP group> <WRAP group>
Line 867: Line 887:
 </WRAP> </WRAP>
  
 +
 +===== 13 =====
 <WRAP group> <WRAP group>
 <WRAP column half> <WRAP column half>
note.w02.1757673401.txt.gz · Last modified: 2025/09/12 19:36 by hkimscil

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