options linesize=72;
iv. $BE}7W4XO"(B
/* Lesson 9-01 */ /* File Name = les0901.sas 06/05/08 */ data gakusei; infile 'all08ae.prn' firstobs=2; input sex $ shintyou taijyuu kyoui jitaku $ kodukai carryer $ tsuuwa; diff180 =shintyou-180.0; : 180.0 $B$H$N:9$r?7$7$$JQNL$H$7$F(B diff170 =shintyou-170.0; : 170.0 $B$H$N:9$r(B diff169 =shintyou-169.0; : 169.0 $B$H$N:9$r(B diff168 =shintyou-168.0; : 168.0 $B$H$N:9$r(B diff1678=shintyou-167.8; : 167.8 $B$H$N:9$r(B proc print data=gakusei(obs=5); run; proc univariate data=gakusei plot; var shintyou diff180 diff170 diff169 diff168 diff1678; run;
SAS $B%7%9%F%`(B 1 10:09 Thursday, June 5, 2008 S D H T K C D D D D I I A J O A T I I I I F N I K I D R S F F F F F T J Y T U R U F F F F 1 O S Y Y O A K Y U 1 1 1 1 6 B E O U U K A E W 8 7 6 6 7 S X U U I U I R A 0 0 9 8 8 1 F 145.0 38 . J 10000 . -35.0 -25.0 -24.0 -23.0 -22.8 2 F 146.7 41 85 J 10000 Vodafone 6000 -33.3 -23.3 -22.3 -21.3 -21.1 3 F 148.0 42 . J 50000 . -32.0 -22.0 -21.0 -20.0 -19.8 4 F 148.0 43 80 J 50000 DoCoMo 4000 -32.0 -22.0 -21.0 -20.0 -19.8 5 F 148.9 . . J 60000 . -31.1 -21.1 -20.1 -19.1 -18.9 SAS $B%7%9%F%`(B 2 10:09 Thursday, June 5, 2008 Univariate Procedure Variable=SHINTYOU Moments N 380 Sum Wgts 380 Mean 167.7871 Sum 63759.1 Std Dev 8.238706 Variance 67.87627 Skewness -0.28928 Kurtosis -0.43429 USS 10723680 CSS 25725.11 CV 4.910214 Std Mean 0.422637 T:Mean=0 397.0008 Pr>|T| 0.0001 Num ^= 0 380 Num > 0 380 M(Sign) 190 Pr>=|M| 0.0001 Sgn Rank 36195 Pr>=|S| 0.0001 SAS $B%7%9%F%`(B 6 10:09 Thursday, June 5, 2008 Univariate Procedure Variable=SHINTYOU Histogram # Boxplot 187.5+** 4 | .******** 22 | .******************* 55 | .*********************************** 104 +-----+ 167.5+************************ 71 *--+--* .******************** 58 +-----+ .************** 42 | .****** 18 | 147.5+** 6 0 ----+----+----+----+----+----+----+ * may represent up to 3 counts SAS $B%7%9%F%`(B 7 10:09 Thursday, June 5, 2008 Univariate Procedure Variable=SHINTYOU Normal Probability Plot 187.5+ ++*+* | ******** | ******** | ********* 167.5+ *****++ | *****+ | ******* | ******* 147.5+*+** +----+----+----+----+----+----+----+----+----+----+ -2 -1 0 +1 +2 SAS $B%7%9%F%`(B 8 10:09 Thursday, June 5, 2008 Univariate Procedure Variable=DIFF180 Moments N 380 Sum Wgts 380 Mean -12.2129 Sum -4640.9 Std Dev 8.238706 Variance 67.87627 Skewness -0.28928 Kurtosis -0.43429 USS 82403.93 CSS 25725.11 CV -67.4591 Std Mean 0.422637 T:Mean=0 -28.8969 Pr>|T| 0.0001 Num ^= 0 370 Num > 0 16 M(Sign) -169 Pr>=|M| 0.0001 Sgn Rank -33768 Pr>=|S| 0.0001 SAS $B%7%9%F%`(B 14 10:09 Thursday, June 5, 2008 Univariate Procedure Variable=DIFF170 Moments N 380 Sum Wgts 380 Mean -2.21289 Sum -840.9 Std Dev 8.238706 Variance 67.87627 Skewness -0.28928 Kurtosis -0.43429 USS 27585.93 CSS 25725.11 CV -372.304 Std Mean 0.422637 T:Mean=0 -5.23593 Pr>|T| 0.0001 Num ^= 0 354 Num > 0 159 M(Sign) -18 Pr>=|M| 0.0627 Sgn Rank -8620 Pr>=|S| 0.0001 SAS $B%7%9%F%`(B 20 10:09 Thursday, June 5, 2008 Univariate Procedure Variable=DIFF169 Moments N 380 Sum Wgts 380 Mean -1.21289 Sum -460.9 Std Dev 8.238706 Variance 67.87627 Skewness -0.28928 Kurtosis -0.43429 USS 26284.13 CSS 25725.11 CV -679.26 Std Mean 0.422637 T:Mean=0 -2.86983 Pr>|T| 0.0043 Num ^= 0 373 Num > 0 187 M(Sign) 0.5 Pr>=|M| 1.0000 Sgn Rank -4421.5 Pr>=|S| 0.0336 SAS $B%7%9%F%`(B 26 10:09 Thursday, June 5, 2008 Univariate Procedure Variable=DIFF168 Moments N 380 Sum Wgts 380 Mean -0.21289 Sum -80.9 Std Dev 8.238706 Variance 67.87627 Skewness -0.28928 Kurtosis -0.43429 USS 25742.33 CSS 25725.11 CV -3869.85 Std Mean 0.422637 T:Mean=0 -0.50373 Pr>|T| 0.6147 Num ^= 0 363 Num > 0 198 M(Sign) 16.5 Pr>=|M| 0.0929 Sgn Rank -66.5 Pr>=|S| 0.9735 SAS $B%7%9%F%`(B 32 10:09 Thursday, June 5, 2008 Univariate Procedure Variable=DIFF1678 Moments N 380 Sum Wgts 380 Mean -0.01289 Sum -4.9 Std Dev 8.238706 Variance 67.87627 Skewness -0.28928 Kurtosis -0.43429 USS 25725.17 CSS 25725.11 CV -63892 Std Mean 0.422637 T:Mean=0 -0.03051 Pr>|T| 0.9757 Num ^= 0 380 Num > 0 215 M(Sign) 25 Pr>=|M| 0.0118 Sgn Rank 1240 Pr>=|S| 0.5634
/* Lesson 9-02 */
/* File Name = les0902.sas 06/05/08 */
data gakusei;
infile 'all08ae.prn'
firstobs=2;
input sex $ shintyou taijyuu kyoui
jitaku $ kodukai carryer $ tsuuwa;
if sex^='M' & sex^='F' then delete; : $BCK$G$b=w$G$b$J$$
SAS $B%7%9%F%`(B 2
11:46 Thursday, June 5, 2008
Variable N Mean Std Dev Minimum Maximum
---------------------------------------------------------------------
SHINTYOU 379 167.7865435 8.2495890 145.0000000 188.0000000
TAIJYUU 340 58.7523529 9.2996730 35.0000000 100.0000000
KYOUI 117 86.0598291 8.2934234 46.0000000 112.0000000
KODUKAI 364 47826.92 49324.01 0 350000.00
TSUUWA 165 6556.25 4366.12 0 30000.00
---------------------------------------------------------------------
SAS $B%7%9%F%`(B 21
11:46 Thursday, June 5, 2008
Univariate Procedure
Variable=KODUKAI
Moments
N 364 Sum Wgts 364
Mean 47826.92 Sum 17409000
Std Dev 49324.01 Variance 2.4329E9
Skewness 2.103065 Kurtosis 6.976913
USS 1.716E12 CSS 8.831E11
CV 103.1302 Std Mean 2585.281
T:Mean=0 18.4997 Pr>|T| 0.0001
Num ^= 0 307 Num > 0 307
M(Sign) 153.5 Pr>=|M| 0.0001
Sgn Rank 23639 Pr>=|S| 0.0001
SAS $B%7%9%F%`(B 22
11:46 Thursday, June 5, 2008
Univariate Procedure
Variable=KODUKAI
Quantiles(Def=5)
100% Max 350000 99% 200000
75% Q3 60000 95% 150000
50% Med 30000 90% 120000
25% Q1 20000 10% 0
0% Min 0 5% 0
1% 0
Range 350000
Q3-Q1 40000
Mode 0
SAS $B%7%9%F%`(B 25
11:46 Thursday, June 5, 2008
Univariate Procedure
Variable=KODUKAI
Histogram # Boxplot
375000+* 1 *
.* 2 *
.
.* 2 *
.**** 18 0
.******** 38 0
.***************** 82 +-----+
25000+********************************************* 221 *--+--*
----+----+----+----+----+----+----+----+----+
* may represent up to 5 counts
SAS $B%7%9%F%`(B 26
11:46 Thursday, June 5, 2008
Univariate Procedure
Variable=KODUKAI
Normal Probability Plot
375000+ *
| **
|
| **
| ********+++
| ******+++++
| ++********
25000+*****************************
+----+----+----+----+----+----+----+----+----+----+
-2 -1 0 +1 +2
SAS $B%7%9%F%`(B 27
11:46 Thursday, June 5, 2008
SHINTYOU Cum. Cum.
Midpoint Freq Freq Percent Percent
|
144 | 1 1 0.26 0.26
148 |* 5 6 1.32 1.58
152 |*** 16 22 4.22 5.80
156 |****** 29 51 7.65 13.46
160 |******** 42 93 11.08 24.54
164 |********* 44 137 11.61 36.15
168 |*********** 57 194 15.04 51.19
172 |******************* 93 287 24.54 75.73
176 |********** 48 335 12.66 88.39
180 |******* 33 368 8.71 97.10
184 |** 9 377 2.37 99.47
188 | 2 379 0.53 100.00
|
----+---+---+---+---
20 40 60 80
Frequency
SAS $B%7%9%F%`(B 32
11:46 Thursday, June 5, 2008
KODUKAI Cum. Cum.
Midpoint Freq Freq Percent Percent
|
15000 |**************************** 140 140 38.46 38.46
45000 |*********************** 114 254 31.32 69.78
75000 |********** 48 302 13.19 82.97
105000 |***** 24 326 6.59 89.56
135000 |*** 15 341 4.12 93.68
165000 |*** 17 358 4.67 98.35
195000 |* 3 361 0.82 99.18
225000 | 0 361 0.00 99.18
255000 | 0 361 0.00 99.18
285000 | 0 361 0.00 99.18
315000 | 2 363 0.55 99.73
345000 | 1 364 0.27 100.00
|
----+---+---+---+---+---+---+
20 40 60 80 100 120 140
Frequency
SAS $B%7%9%F%`(B 34
11:46 Thursday, June 5, 2008
--------------------------------- SEX=F --------------------------------
Variable N Mean Std Dev Minimum Maximum
---------------------------------------------------------------------
SHINTYOU 127 158.9818898 5.2517332 145.0000000 171.0000000
TAIJYUU 88 48.8409091 4.7482032 35.0000000 60.0000000
KYOUI 45 82.9777778 3.8523245 70.0000000 90.0000000
KODUKAI 123 48089.43 44134.99 0 300000.00
TSUUWA 68 6576.24 4187.38 80.0000000 25000.00
---------------------------------------------------------------------
SAS $B%7%9%F%`(B 35
11:46 Thursday, June 5, 2008
--------------------------------- SEX=M --------------------------------
Variable N Mean Std Dev Minimum Maximum
---------------------------------------------------------------------
SHINTYOU 252 172.2238095 5.4454547 156.0000000 188.0000000
TAIJYUU 252 62.2134921 7.9070633 46.0000000 100.0000000
KYOUI 72 87.9861111 9.6640659 46.0000000 112.0000000
KODUKAI 241 47692.95 51860.04 0 350000.00
TSUUWA 97 6542.25 4508.67 0 30000.00
---------------------------------------------------------------------
SAS $B%7%9%F%`(B 36
11:46 Thursday, June 5, 2008
-------------------------------- SEX=F ---------------------------------
Univariate Procedure
Variable=SHINTYOU
Moments
N 127 Sum Wgts 127
Mean 158.9819 Sum 20190.7
Std Dev 5.251733 Variance 27.5807
Skewness -0.20331 Kurtosis -0.26872
USS 3213431 CSS 3475.168
CV 3.303353 Std Mean 0.466016
T:Mean=0 341.1512 Pr>|T| 0.0001
Num ^= 0 127 Num > 0 127
M(Sign) 63.5 Pr>=|M| 0.0001
Sgn Rank 4064 Pr>=|S| 0.0001
SAS $B%7%9%F%`(B 38
11:46 Thursday, June 5, 2008
-------------------------------- SEX=F ---------------------------------
Univariate Procedure
Variable=SHINTYOU
Quantiles(Def=5)
100% Max 171 99% 170
75% Q3 162.4 95% 167
50% Med 159.5 90% 166
25% Q1 156 10% 152
0% Min 145 5% 150
1% 146.7
Range 26
Q3-Q1 6.4
Mode 156
SAS $B%7%9%F%`(B 41
11:46 Thursday, June 5, 2008
-------------------------------- SEX=F ---------------------------------
Univariate Procedure
Variable=SHINTYOU
Stem Leaf # Boxplot
17 001 3 |
16 555555666666677778 18 |
16 0000000000000001111112222222222223333344444 43 +-----+
15 555556666666666666666777788888889999999 39 +--+--+
15 001122223333333444 18 |
14 578899 6 0
----+----+----+----+----+----+----+----+---
Multiply Stem.Leaf by 10**+1
SAS $B%7%9%F%`(B 42
11:46 Thursday, June 5, 2008
-------------------------------- SEX=F ---------------------------------
Univariate Procedure
Variable=SHINTYOU
Normal Probability Plot
172.5+ +*++*
| *****+*+***
| **********++
| **********+
| +********+
147.5+*++*+*+**
+----+----+----+----+----+----+----+----+----+----+
-2 -1 0 +1 +2
SAS $B%7%9%F%`(B 57
11:46 Thursday, June 5, 2008
-------------------------------- SEX=F ---------------------------------
Univariate Procedure
Variable=KODUKAI
Moments
N 123 Sum Wgts 123
Mean 48089.43 Sum 5915000
Std Dev 44134.99 Variance 1.9479E9
Skewness 2.395802 Kurtosis 9.149976
USS 5.221E11 CSS 2.376E11
CV 91.77691 Std Mean 3979.518
T:Mean=0 12.08423 Pr>|T| 0.0001
Num ^= 0 111 Num > 0 111
M(Sign) 55.5 Pr>=|M| 0.0001
Sgn Rank 3108 Pr>=|S| 0.0001
SAS $B%7%9%F%`(B 59
11:46 Thursday, June 5, 2008
-------------------------------- SEX=F ---------------------------------
Univariate Procedure
Variable=KODUKAI
Quantiles(Def=5)
100% Max 300000 99% 200000
75% Q3 60000 95% 130000
50% Med 40000 90% 100000
25% Q1 20000 10% 7000
0% Min 0 5% 0
1% 0
Range 300000
Q3-Q1 40000
Mode 30000
SAS $B%7%9%F%`(B 62
11:46 Thursday, June 5, 2008
-------------------------------- SEX=F ---------------------------------
Univariate Procedure
Variable=KODUKAI
Histogram # Boxplot
325000+* 1 *
.
.* 1 *
175000+** 3 0
.***** 10 0
.******************** 39 +-----+
25000+*********************************** 69 *--+--*
----+----+----+----+----+----+----+
* may represent up to 2 counts
SAS $B%7%9%F%`(B 63
11:46 Thursday, June 5, 2008
-------------------------------- SEX=F ---------------------------------
Univariate Procedure
Variable=KODUKAI
Normal Probability Plot
325000+ *
|
| *
175000+ *** ++
| *****+++++++
| +**********
25000+* * **********************
+----+----+----+----+----+----+----+----+----+----+
-2 -1 0 +1 +2
SAS $B%7%9%F%`(B 64
11:46 Thursday, June 5, 2008
-------------------------------- SEX=M ---------------------------------
Univariate Procedure
Variable=SHINTYOU
Moments
N 252 Sum Wgts 252
Mean 172.2238 Sum 43400.4
Std Dev 5.445455 Variance 29.65298
Skewness 0.00227 Kurtosis 0.247
USS 7482025 CSS 7442.897
CV 3.161848 Std Mean 0.343031
T:Mean=0 502.0643 Pr>|T| 0.0001
Num ^= 0 252 Num > 0 252
M(Sign) 126 Pr>=|M| 0.0001
Sgn Rank 15939 Pr>=|S| 0.0001
SAS $B%7%9%F%`(B 66
11:46 Thursday, June 5, 2008
-------------------------------- SEX=M ---------------------------------
Univariate Procedure
Variable=SHINTYOU
Quantiles(Def=5)
100% Max 188 99% 185
75% Q3 175.5 95% 181
50% Med 172 90% 180
25% Q1 169 10% 166
0% Min 156 5% 163
1% 160
Range 32
Q3-Q1 6.5
Mode 170
SAS $B%7%9%F%`(B 69
11:46 Thursday, June 5, 2008
-------------------------------- SEX=M ---------------------------------
Univariate Procedure
Variable=SHINTYOU
Histogram # Boxplot
187.5+** 4 0
.******** 22 |
.******************* 55 +-----+
172.5+********************************** 102 *--+--*
.***************** 51 +-----+
.****** 16 |
157.5+* 2 0
----+----+----+----+----+----+----
* may represent up to 3 counts
SAS $B%7%9%F%`(B 70
11:46 Thursday, June 5, 2008
-------------------------------- SEX=M ---------------------------------
Univariate Procedure
Variable=SHINTYOU
Normal Probability Plot
187.5+ **+*
| ********+++
| ********++
172.5+ ************
| *********+
| *********+
157.5+*++
+----+----+----+----+----+----+----+----+----+----+
-2 -1 0 +1 +2
SAS $B%7%9%F%`(B 85
11:46 Thursday, June 5, 2008
-------------------------------- SEX=M ---------------------------------
Univariate Procedure
Variable=KODUKAI
Moments
N 241 Sum Wgts 241
Mean 47692.95 Sum 11494000
Std Dev 51860.04 Variance 2.6895E9
Skewness 2.001955 Kurtosis 6.26984
USS 1.194E12 CSS 6.455E11
CV 108.7373 Std Mean 3340.599
T:Mean=0 14.27677 Pr>|T| 0.0001
Num ^= 0 196 Num > 0 196
M(Sign) 98 Pr>=|M| 0.0001
Sgn Rank 9653 Pr>=|S| 0.0001
SAS $B%7%9%F%`(B 87
11:46 Thursday, June 5, 2008
-------------------------------- SEX=M ---------------------------------
Univariate Procedure
Variable=KODUKAI
Quantiles(Def=5)
100% Max 350000 99% 200000
75% Q3 65000 95% 150000
50% Med 30000 90% 120000
25% Q1 10000 10% 0
0% Min 0 5% 0
1% 0
Range 350000
Q3-Q1 55000
Mode 0
SAS $B%7%9%F%`(B 90
11:46 Thursday, June 5, 2008
-------------------------------- SEX=M ---------------------------------
Univariate Procedure
Variable=KODUKAI
Histogram # Boxplot
375000+* 1 *
.* 1 *
.
.* 1 0
.**** 15 0
.******* 28 |
.*********** 43 +-----+
25000+************************************** 152 *--+--*
----+----+----+----+----+----+----+---
* may represent up to 4 counts
SAS $B%7%9%F%`(B 91
11:46 Thursday, June 5, 2008
-------------------------------- SEX=M ---------------------------------
Univariate Procedure
Variable=KODUKAI
Normal Probability Plot
375000+ *
| *
|
| *
| *****+**+++
| ******+++++
| ++*******+
25000+* ***************************
+----+----+----+----+----+----+----+----+----+----+
-2 -1 0 +1 +2
SAS $B%7%9%F%`(B 92
11:46 Thursday, June 5, 2008
Univariate Procedure
Schematic Plots
Variable=SHINTYOU
200 +
|
| 0
180 + |
| | *--+--*
| | +-----+
160 + *--+--* 0
| +-----+ 0
| 0
140 +
------------+-----------+-----------
SEX F M
SAS $B%7%9%F%`(B 93
11:46 Thursday, June 5, 2008
Univariate Procedure
Schematic Plots
Variable=TAIJYUU
|
100 + *
| 0
| | *--+--*
50 + *--+--* +-----+
| 0
|
0 +
------------+-----------+-----------
SEX F M
SAS $B%7%9%F%`(B 94
11:46 Thursday, June 5, 2008
Univariate Procedure
Schematic Plots
Variable=KYOUI
150 +
|
| 0
100 + +-----+
| *--+--* *--+--*
| 0 0
50 + *
|
|
0 +
------------+-----------+-----------
SEX F M
SAS $B%7%9%F%`(B 95
11:46 Thursday, June 5, 2008
Univariate Procedure
Schematic Plots
Variable=KODUKAI
|
400000 +
| * *
|
200000 + 0 0
| 0 0
| *--+--* +--+--+
0 + +-----+ *-----*
------------+-----------+-----------
SEX F M
SAS $B%7%9%F%`(B 96
11:46 Thursday, June 5, 2008
-------------------------------- SEX=F ---------------------------------
SHINTYOU Cum. Cum.
Midpoint Freq Freq Percent Percent
|
144 |* 1 1 0.79 0.79
147 |*** 3 4 2.36 3.15
150 |****** 6 10 4.72 7.87
153 |************** 14 24 11.02 18.90
156 |************************* 25 49 19.69 38.58
159 |***************************** 29 78 22.83 61.42
162 |*********************** 23 101 18.11 79.53
165 |****************** 18 119 14.17 93.70
168 |***** 5 124 3.94 97.64
171 |*** 3 127 2.36 100.00
|
-----+----+----+----+----+----
5 10 15 20 25
Frequency
SAS $B%7%9%F%`(B 101
11:46 Thursday, June 5, 2008
-------------------------------- SEX=M ---------------------------------
SHINTYOU Cum. Cum.
Midpoint Freq Freq Percent Percent
|
156 | 2 2 0.79 0.79
160 |* 6 8 2.38 3.17
164 |*** 17 25 6.75 9.92
168 |********* 44 69 17.46 27.38
172 |****************** 91 160 36.11 63.49
176 |********** 48 208 19.05 82.54
180 |******* 33 241 13.10 95.63
184 |** 9 250 3.57 99.21
188 | 2 252 0.79 100.00
|
----+---+---+---+--
20 40 60 80
SAS $B%7%9%F%`(B 106
11:46 Thursday, June 5, 2008
SEX SHINTYOU Cum. Cum.
Midpoint Freq Freq Percent Percent
|
F 144 | 1 1 0.26 0.26
148 |* 5 6 1.32 1.58
152 |*** 16 22 4.22 5.80
156 |***** 27 49 7.12 12.93
160 |******* 36 85 9.50 22.43
164 |***** 27 112 7.12 29.55
168 |*** 13 125 3.43 32.98
172 | 2 127 0.53 33.51
176 | 0 127 0.00 33.51
180 | 0 127 0.00 33.51
184 | 0 127 0.00 33.51
188 | 0 127 0.00 33.51
|
M 144 | 0 127 0.00 33.51
148 | 0 127 0.00 33.51
152 | 0 127 0.00 33.51
156 | 2 129 0.53 34.04
160 |* 6 135 1.58 35.62
164 |*** 17 152 4.49 40.11
168 |********* 44 196 11.61 51.72
172 |****************** 91 287 24.01 75.73
176 |********** 48 335 12.66 88.39
180 |******* 33 368 8.71 97.10
184 |** 9 377 2.37 99.47
188 | 2 379 0.53 100.00
|
----+---+---+---+--
20 40 60 80
Frequency
SAS $B%7%9%F%`(B 112
11:46 Thursday, June 5, 2008
SEX KODUKAI Cum. Cum.
Midpoint Freq Freq Percent Percent
|
F 15000 |******** 41 41 11.26 11.26
45000 |********* 43 84 11.81 23.08
75000 |***** 24 108 6.59 29.67
105000 |* 6 114 1.65 31.32
135000 |* 4 118 1.10 32.42
165000 | 2 120 0.55 32.97
195000 | 2 122 0.55 33.52
225000 | 0 122 0.00 33.52
255000 | 0 122 0.00 33.52
285000 | 0 122 0.00 33.52
315000 | 1 123 0.27 33.79
345000 | 0 123 0.00 33.79
|
M 15000 |******************** 99 222 27.20 60.99
45000 |************** 71 293 19.51 80.49
75000 |***** 24 317 6.59 87.09
105000 |**** 18 335 4.95 92.03
135000 |** 11 346 3.02 95.05
165000 |*** 15 361 4.12 99.18
195000 | 1 362 0.27 99.45
225000 | 0 362 0.00 99.45
255000 | 0 362 0.00 99.45
285000 | 0 362 0.00 99.45
315000 | 1 363 0.27 99.73
345000 | 1 364 0.27 100.00
|
----+---+---+---+---+
20 40 60 80 100
Frequency