Differences

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--- b:head_first_statistics:geometric_binomial_and_poisson_distributions [2019/11/07 10:25] – [What does the Poisson distribution look like?] hkimscil
+++ b:head_first_statistics:geometric_binomial_and_poisson_distributions [2020/11/03 09:44] – hkimscil
@@ Line 69: / Line 69: @@
 [29] 0.0003868563 0.0003094850
 >
-> hist(dgeom(x = 0:n, prob = p))</code>
+> hist(dgeom(x = 0:n, prob = p))
 </code>
@@ Line 935: / Line 935: @@
 마포 신한은행 지점에 시간당 은행에 방문하는 손님의 숫자: lambda = 30
-<code>> dpois(x=1:60, lambda=30)
+<code>
- [1] 2.807287e-12 4.210930e-11 4.210930e-10 3.158198e-09
+> dpois(x=1:60, lambda=30)
- [5] 1.894919e-08 9.474593e-08 4.060540e-07 1.522702e-06
+ [1] 2.807287e-12 4.210930e-11 4.210930e-10 3.158198e-09 1.894919e-08
- [9] 5.075675e-06 1.522702e-05 4.152825e-05 1.038206e-04
+ [6] 9.474593e-08 4.060540e-07 1.522702e-06 5.075675e-06 1.522702e-05
-[13] 2.395861e-04 5.133987e-04 1.026797e-03 1.925245e-03
+[11] 4.152825e-05 1.038206e-04 2.395861e-04 5.133987e-04 1.026797e-03
-[17] 3.397491e-03 5.662486e-03 8.940767e-03 1.341115e-02
+[16] 1.925245e-03 3.397491e-03 5.662486e-03 8.940767e-03 1.341115e-02
-[21] 1.915879e-02 2.612562e-02 3.407689e-02 4.259611e-02
+[21] 1.915879e-02 2.612562e-02 3.407689e-02 4.259611e-02 5.111534e-02
-[25] 5.111534e-02 5.897924e-02 6.553248e-02 7.021338e-02
+[26] 5.897924e-02 6.553248e-02 7.021338e-02 7.263453e-02 7.263453e-02
-[29] 7.263453e-02 7.263453e-02 7.029148e-02 6.589826e-02
+[31] 7.029148e-02 6.589826e-02 5.990751e-02 5.285957e-02 4.530820e-02
-[33] 5.990751e-02 5.285957e-02 4.530820e-02 3.775683e-02
+[36] 3.775683e-02 3.061365e-02 2.416867e-02 1.859128e-02 1.394346e-02
-[37] 3.061365e-02 2.416867e-02 1.859128e-02 1.394346e-02
+[41] 1.020253e-02 7.287524e-03 5.084319e-03 3.466581e-03 2.311054e-03
-[41] 1.020253e-02 7.287524e-03 5.084319e-03 3.466581e-03
+[46] 1.507209e-03 9.620485e-04 6.012803e-04 3.681308e-04 2.208785e-04
-[45] 2.311054e-03 1.507209e-03 9.620485e-04 6.012803e-04
+[51] 1.299285e-04 7.495876e-05 4.242949e-05 2.357194e-05 1.285742e-05
-[49] 3.681308e-04 2.208785e-04 1.299285e-04 7.495876e-05
+[56] 6.887904e-06 3.625212e-06 1.875110e-06 9.534457e-07 4.767229e-07
-[53] 4.242949e-05 2.357194e-05 1.285742e-05 6.887904e-06
-[57] 3.625212e-06 1.875110e-06 9.534457e-07 4.767229e-07
 > plot(dpois(x=1:60, lambda=30), type = "l")
 > </code>
-[{{:b:head_first_statistics:pasted:20191107-082959.png|Figure 1. lambda=30}}]
+[{{:b:head_first_statistics:pasted:20191107-095627.png|Figure 1. lambda=30}}]
 lambda가 클 수록 좌우대칭의 종형분포를 이루고 ((Figure 1)), 작을 수로 오른 쪽으로 편향된 (skewed to the right) 혹은 양의방향으로 편향된(positively skewed) 분포를 ((Figure 2)) 이룬다.