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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_backtobackhist.wasp
Title produced by softwareBack to Back Histogram
Date of computationThu, 18 Oct 2007 03:14:23 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Oct/18/t7cauiw7lrza8kp1192702308.htm/, Retrieved Sun, 28 Apr 2024 23:08:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=978, Retrieved Sun, 28 Apr 2024 23:08:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsQ2
Estimated Impact469

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Back to Back Histogram] [Q2 Total / Clothi...] [2007-10-18 10:14:23] [1a83104d28786df2e24859e2e02dc234] [Current]
F   PD    [Back to Back Histogram] [Q2 - Comparison o...] [2008-10-15 17:35:53] [a57f5cc542637534b8bb5bcb4d37eab1]
-   PD    [Back to Back Histogram] [investigating ass...] [2008-10-16 22:39:41] [cbd3d88cd5aad6543e769146e7e26b0c]
- RMPD      [Kendall tau Rank Correlation] [Kendall Tau Corre...] [2008-12-18 11:07:47] [b591abfa820a394aeb0c5ebd9cfa1091]
- RMPD      [Kendall tau Rank Correlation] [Kendall Tau Corre...] [2008-12-18 11:22:42] [b591abfa820a394aeb0c5ebd9cfa1091]
- RMPD      [Kendall tau Rank Correlation] [Kendall Tau Corre...] [2008-12-18 11:28:10] [b591abfa820a394aeb0c5ebd9cfa1091]
-   PD    [Back to Back Histogram] [B2B histogram Tot...] [2008-10-17 11:32:20] [1e1d8320a8a1170c475bf6e4ce119de6]
- R PD      [Back to Back Histogram] [total production ...] [2008-10-18 11:02:44] [529a65e524c481ca1098665a9566b89f]
-   PD        [Back to Back Histogram] [Back-to-back hist...] [2008-10-19 15:32:37] [5e74953d94072114d25d7276793b561e]
- R P       [Back to Back Histogram] [total production ...] [2008-10-18 11:06:28] [529a65e524c481ca1098665a9566b89f]
- R  D    [Back to Back Histogram] [Total prod vs pro...] [2008-10-17 11:47:11] [3d2d096cc21c6f80db3dd7b8e12effce]
F    D    [Back to Back Histogram] [back to back hist...] [2008-10-17 14:28:24] [cf45c678b7899ee33d7b061948f80651]
F    D    [Back to Back Histogram] [Histogram] [2008-10-17 21:01:48] [8b0d202c3a0c4ea223fd8b8e731dacd8]
-   PD    [Back to Back Histogram] [B2B histogram tot...] [2008-10-18 13:16:34] [d32f94eec6fe2d8c421bd223368a5ced]
- RM D    [Pearson Correlation] [Pearson correlati...] [2008-10-18 15:58:27] [b943bd7078334192ff8343563ee31113]
F    D    [Back to Back Histogram] [Back-to-back hist...] [2008-10-19 08:27:00] [4396f984ebeab43316cd6baa88a4fd40]
F    D    [Back to Back Histogram] [Investigating Ass...] [2008-10-19 08:58:58] [6743688719638b0cb1c0a6e0bf433315]
F    D    [Back to Back Histogram] [Task 1 - Q2 - Bac...] [2008-10-19 10:43:59] [33f4701c7363e8b81858dafbf0350eed]
F           [Back to Back Histogram] [investigating ass Q2] [2008-10-20 23:01:21] [b641c14ac36cb6fee377f3b099dcac19]
-   PD    [Back to Back Histogram] [Q2 totale product...] [2008-10-19 11:49:19] [e5d91604aae608e98a8ea24759233f66]
F    D    [Back to Back Histogram] [Task 1 Q2] [2008-10-19 12:38:14] [86761fc994bdf34e4f4ab5b8e1d9e1c3]
-    D    [Back to Back Histogram] [] [2008-10-19 15:54:42] [8d78428855b119373cac369316c08983]
F    D    [Back to Back Histogram] [] [2008-10-19 16:11:12] [8d78428855b119373cac369316c08983]
F   PD    [Back to Back Histogram] [Q2 Distributions ...] [2008-10-19 17:01:36] [cf9c64468d04c2c4dd548cc66b4e3677]
F   PD    [Back to Back Histogram] [Q2 Back to Back h...] [2008-10-20 08:58:32] [38f43994ada0e6172896e12525dcc585]
- R  D    [Back to Back Histogram] [Q2 Back To Back] [2008-10-20 11:49:44] [74be16979710d4c4e7c6647856088456]
F    D    [Back to Back Histogram] [q2 b2b] [2008-10-20 12:01:26] [dd679c9a7f849ed0333823e9c020c5a6]
F    D    [Back to Back Histogram] [Histogram: Totale...] [2008-10-20 12:52:54] [1d988b04e8982749ec309eda662241b4]
F R  D    [Back to Back Histogram] [Histogram: Totale...] [2008-10-20 12:55:08] [a7f04e0e73ce3683561193958d653479]
F   PD    [Back to Back Histogram] [Totale Productie ...] [2008-10-20 13:29:40] [1376d48f59a7212e8dd85a587491a69b]
F    D    [Back to Back Histogram] [Back to back tota...] [2008-10-20 13:40:48] [e562c84ebfc887cc5a7a99782625ca3b]
F    D    [Back to Back Histogram] [Workshop 2] [2008-10-20 13:53:46] [b990da0cb3aa26f81c0c422f8ba66d53]
-   PD    [Back to Back Histogram] [Distributions of ...] [2008-10-20 13:54:23] [43d870b30ac8a7afeb5de9ee11dcfc1a]
F R  D    [Back to Back Histogram] [Q2 is de totale d...] [2008-10-20 14:25:15] [84dda5145c389bd11bcc662bd33fe4ba]
F    D    [Back to Back Histogram] [Q2: Distributie] [2008-10-20 15:14:50] [82d201ca7b4e7cd2c6f885d29b5b6937]
F R  D    [Back to Back Histogram] [ taak 1 vraag 2 K...] [2008-10-20 15:18:41] [f21e40d80585aedc38277df87deba3c6]
F           [Back to Back Histogram] [back-to-back hist...] [2008-10-20 17:27:34] [e242ef2117cdd06cb7827a9ae01189a0]
F    D    [Back to Back Histogram] [Q2 Back-to-back h...] [2008-10-20 16:11:06] [2d4aec5ed1856c4828162be37be304d9]
F    D    [Back to Back Histogram] [back to back hist...] [2008-10-20 16:12:34] [fe7291e888d31b8c4db0b24d6c0f75c6]
F           [Back to Back Histogram] [Back to back hist...] [2008-10-20 16:53:09] [b635de6fc42b001d22cbe6e730fec936]
- RMPD      [Pearson Correlation] [Verbetering Q6] [2008-10-21 15:52:34] [2a0ad3a9bcadca2da0acb91636601c6c]
- RMPD      [Pearson Correlation] [Verbetering Q6] [2008-10-21 15:52:34] [2a0ad3a9bcadca2da0acb91636601c6c]
- RMPD      [Pearson Correlation] [Verbetering Q4] [2008-10-21 15:52:34] [2a0ad3a9bcadca2da0acb91636601c6c]
-   PD      [Back to Back Histogram] [back to back] [2008-12-18 15:16:15] [fe7291e888d31b8c4db0b24d6c0f75c6]
-   PD        [Back to Back Histogram] [back to back] [2008-12-18 15:58:12] [fe7291e888d31b8c4db0b24d6c0f75c6]
-   PD        [Back to Back Histogram] [back to back] [2008-12-18 16:00:12] [fe7291e888d31b8c4db0b24d6c0f75c6]
-   P           [Back to Back Histogram] [back to back] [2008-12-18 21:40:03] [fe7291e888d31b8c4db0b24d6c0f75c6]
-    D        [Back to Back Histogram] [1] [2008-12-22 18:23:53] [fe7291e888d31b8c4db0b24d6c0f75c6]
-   PD      [Back to Back Histogram] [back to back] [2008-12-18 15:21:08] [fe7291e888d31b8c4db0b24d6c0f75c6]

[Truncated]
Feedback Forum
2008-10-27 17:48:44 [Jeroen Aerts] [reply] 
Dit is een juist antwoord, meer kan je hierover ook niet besluiten.
2008-10-27 18:47:59 [Michaël De Kuyer] [reply] 
De gegevens op de y-as zijn indexwaarden en geen absolute waarden. Hieronder vind je mijn antwoord.

Aan de hand van de back-to-back histogram kan ik besluiten dat de waarden van de kledingproductie sterker zijn gespreid, wat er dus op wijst dat we een grotere variabilitieit hebben dan bij de totale productie.
De waarden van de totale productie liggen boven de indexwaarde, in tegenstelling tot de kledingproductie waar de waarden onder de indexwaarde ligt. Dit wijst erop dat de kledingproductie wordt afgezwakt.
We zien ook dat de kledingproductie normaler is verdeeld dan de totale productie wat er dus op wijst dat de kledingproductie minder outliers heeft dan de totale productie.
2008-10-27 19:49:42 [Evelyn Ongena] [reply] 
De student heeft een correct antwoord gegeven, hoewel er nog wat meer uitleg bij mocht. Zoals je uit de grafiek kan aflezen is de totale productie hoger dan de productie van kleding. Dit is logisch aangezien de totale productie veel ruimer is en hier veel verschillende productgroepen inzitten. Bij de totale productie is de distributie het grootst wanneer er veel geproduceerd wordt (ongeveer 105.000 eenheden). Dit is logisch want als je veel tegelijk distribueert, kan je de kosten per eenheid drukken. Bij de productie van kleding wordt er het meeste gedistribueerd wanneer de productie ongeveer 90.000 eenheden is, wat lager is dan bij de totale productie.
2008-10-27 22:27:51 [Martjin De Swert] [reply] 
Ik sluit me aan bij wat reeds door mijn medestudenten gezegd is.
2008-10-27 23:47:30 [Toon Nauwelaerts] [reply] 
De student geeft inderdaad de juiste oplossing en staaft deze andermaal met cijfermateriaal. Extra uitleg zou handig zijn.
2008-10-28 06:49:06 [An De Koninck] [reply] 
De student zegt dat er sprake is van symmetrie, maar daar ben ik het niet mee eens. Symmetrie betekent immers dat als je in het midden een lijn zou trekken en de cijfers boven de lijn en onder de lijn met elkaar vergelijken, deze perfect elkaars spiegelbeeld zijn.
Deze grafiek geeft wel een beeld van de sprijding. Zo zie je bijvoorbeeld dat er aan de rechterkant (kledingproductie) meer outliers voorkomen en hierdoor de spreiding groter is.
Ook kan je duidelijk het gemiddelde aflezen en dit zegt dat het gemiddelde van de kledingproductie visueel sterk verschilt van die van de totale productie.

2008-10-28 06:54:51 [Evelyne Slegers] [reply] 
Het is inderdaad zo dat men niet kan spreken van een normale verdeling. Je kan ook niet zeggen dat er sprake is van een stijgende productie want de chronologie wordt niet behouden.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
110.40
96.40
101.90
106.20
81.00
94.70
101.00
109.40
102.30
90.70
96.20
96.10
106.00
103.10
102.00
104.70
86.00
92.10
106.90
112.60
101.70
92.00
97.40
97.00
105.40
102.70
98.10
104.50
87.40
89.90
109.80
111.70
98.60
96.90
95.10
97.00
112.70
102.90
97.40
111.40
87.40
96.80
114.10
110.30
103.90
101.60
94.60
95.90
104.70
102.80
98.10
113.90
80.90
95.70
113.20
105.90
108.80
102.30
99.00
100.70
115.50
Dataseries Y:
Download CSV
Histogram 
109.20
88.60
94.30
98.30
86.40
80.60
104.10
108.20
93.40
71.90
94.10
94.90
96.40
91.10
84.40
86.40
88.00
75.10
109.70
103.00
82.10
68.00
96.40
94.30
90.00
88.00
76.10
82.50
81.40
66.50
97.20
94.10
80.70
70.50
87.80
89.50
99.60
84.20
75.10
92.00
80.80
73.10
99.80
90.00
83.10
72.40
78.80
87.30
91.00
80.10
73.60
86.40
74.50
71.20
92.40
81.50
85.30
69.90
84.20
90.70
100.30

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=978&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=978&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=978&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ; par2 = grey ; par3 = TRUE ; par4 = Total product. ; par5 = Prod. Clothing ;
Parameters (R input):
par1 = grey ; par2 = grey ; par3 = TRUE ; par4 = Total product. ; par5 = Prod. Clothing ;
R code (references can be found in the software module):
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
library(Hmisc)
z <- data.frame(cbind(x,y))
names(z) <- list(par4,par5)
bitmap(file='plot.png')
out <- histbackback(z, probability=par3, main = main, ylab = ylab)
barplot(-out$left, col=par1, horiz=TRUE, space=0, add=TRUE, axes=FALSE)
barplot(out$right, col=par2, horiz=TRUE, space=0, add=TRUE, axes=FALSE)
dev.off()