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Description of Statistical Computation

Author's title

Task 2: reuse the student's computation of Q1 to test the following hypothe...

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationTue, 28 Oct 2008 14:52:58 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/28/t1225227216e37xnrjqdjf5vi7.htm/, Retrieved Tue, 14 May 2024 12:18:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19813, Retrieved Tue, 14 May 2024 12:18:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact208

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Notched Boxplots] [workshop 3] [2007-10-26 13:31:48] [e9ffc5de6f8a7be62f22b142b5b6b1a8]
F    D    [Notched Boxplots] [Task 2: reuse the...] [2008-10-28 20:52:58] [fdd69703d301fae09456f660b2f52997] [Current]
F           [Notched Boxplots] [] [2008-11-06 19:25:19] [072bb89749ef40809573ea0372b43d78]
Feedback Forum
2008-11-10 10:07:25 [Glenn De Maeyer] [reply] 
De student antwoordde correct. We dienen niet te kijken naar de spreiding, maar naar de mediaan. We merken dan net als de student op dat de investeringen dalen. Dit verschil is significant. We kunnen dit merken aan het feit dat de notches niet overlappen. Maar we kunnen dit ook zien op basis van de lower en upper bound. Voor investeringen zien we dat de lower en upper bound (48.5928905074159 en 60.4071094925841) nergens overlappen met de andere lower and upper bounds.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
110.4	109.2	99.9	72.5
96.4	88.6	99.8	59.4
101.9	94.3	99.8	85.7
106.2	98.3	100.3	88.2
81.00	86.4	99.9	62.8
94.7	80.6	99.9	87.00
101.00	104.1	100.00	79.2
109.4	108.2	100.1	112.00
102.3	93.4	100.1	79.2
90.7	71.9	100.2	132.1
96.2	94.1	100.3	40.1
96.1	94.9	100.6	69.00
106.00	96.4	100.00	59.4
103.1	91.1	100.1	73.8
102.00	84.4	100.2	57.4
104.7	86.4	100.00	81.1
86.00	88.00	100.1	46.6
92.1	75.1	100.1	41.4
106.9	109.7	100.1	71.2
112.6	103.00	100.5	67.9
101.7	82.1	100.5	72.00
92.00	68.00	100.5	145.5
97.4	96.4	96.3	39.7
97.00	94.3	96.3	51.9
105.4	90.00	96.8	73.7
102.7	88.00	96.8	70.9
98.1	76.1	96.9	60.8
104.5	82.5	96.8	61.00
87.4	81.4	96.8	54.5
89.9	66.5	96.8	39.1
109.8	97.2	96.8	66.6
111.7	94.1	97.00	58.5
98.6	80.7	97.00	59.8
96.9	70.5	97.00	80.9
95.1	87.8	96.8	37.3
97.00	89.5	96.9	44.6
112.7	99.6	97.2	48.7
102.9	84.2	97.3	54.00
97.4	75.1	97.3	49.5
111.4	92.00	97.2	61.6
87.4	80.8	97.3	35.00
96.8	73.1	97.3	35.7
114.1	99.8	97.3	51.3
110.3	90.00	97.3	49.00
103.9	83.1	97.3	41.5
101.6	72.4	97.3	72.5
94.6	78.8	98.1	42.1
95.9	87.3	96.8	44.1
104.7	91.00	96.8	45.1
102.8	80.1	96.8	50.3
98.1	73.6	96.8	40.9
113.9	86.4	96.8	47.2
80.9	74.5	96.8	36.9
95.7	71.2	96.8	40.9
113.2	92.4	96.8	38.3
105.9	81.5	96.8	46.3
108.8	85.3	96.8	28.4
102.3	69.9	96.8	78.4
99.00	84.2	96.9	36.8
100.7	90.7	97.1	50.7
115.5	100.3	97.1	42.8

Tables (Output of Computation)





Summary of computational 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 computational 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=19813&T=0

[TABLE]
[ROW][C]Summary of computational 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=19813&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19813&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 computational 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






Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
totale_industrie8696.2101.7106115.5
kledingproductie66.580.687.394.1109.7
afzetprijsindex96.396.897.3100100.6
investeringen28.442.854.572112

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
totale_industrie & 86 & 96.2 & 101.7 & 106 & 115.5 \tabularnewline
kledingproductie & 66.5 & 80.6 & 87.3 & 94.1 & 109.7 \tabularnewline
afzetprijsindex & 96.3 & 96.8 & 97.3 & 100 & 100.6 \tabularnewline
investeringen & 28.4 & 42.8 & 54.5 & 72 & 112 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19813&T=1

[TABLE]
[ROW][C]Boxplot statistics[/C][/ROW]
[ROW][C]Variable[/C][C]lower whisker[/C][C]lower hinge[/C][C]median[/C][C]upper hinge[/C][C]upper whisker[/C][/ROW]
[ROW][C]totale_industrie[/C][C]86[/C][C]96.2[/C][C]101.7[/C][C]106[/C][C]115.5[/C][/ROW]
[ROW][C]kledingproductie[/C][C]66.5[/C][C]80.6[/C][C]87.3[/C][C]94.1[/C][C]109.7[/C][/ROW]
[ROW][C]afzetprijsindex[/C][C]96.3[/C][C]96.8[/C][C]97.3[/C][C]100[/C][C]100.6[/C][/ROW]
[ROW][C]investeringen[/C][C]28.4[/C][C]42.8[/C][C]54.5[/C][C]72[/C][C]112[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19813&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19813&T=1

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


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

Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
totale_industrie8696.2101.7106115.5
kledingproductie66.580.687.394.1109.7
afzetprijsindex96.396.897.3100100.6
investeringen28.442.854.572112






Boxplot Notches
Variablelower boundmedianupper bound
totale_industrie99.717476951119101.7103.682523048881
kledingproductie84.568973351031387.390.0310266489687
afzetprijsindex96.652645535059397.397.9473544649407
investeringen48.592890507415954.560.4071094925841

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
totale_industrie & 99.717476951119 & 101.7 & 103.682523048881 \tabularnewline
kledingproductie & 84.5689733510313 & 87.3 & 90.0310266489687 \tabularnewline
afzetprijsindex & 96.6526455350593 & 97.3 & 97.9473544649407 \tabularnewline
investeringen & 48.5928905074159 & 54.5 & 60.4071094925841 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19813&T=2

[TABLE]
[ROW][C]Boxplot Notches[/C][/ROW]
[ROW][C]Variable[/C][C]lower bound[/C][C]median[/C][C]upper bound[/C][/ROW]
[ROW][C]totale_industrie[/C][C]99.717476951119[/C][C]101.7[/C][C]103.682523048881[/C][/ROW]
[ROW][C]kledingproductie[/C][C]84.5689733510313[/C][C]87.3[/C][C]90.0310266489687[/C][/ROW]
[ROW][C]afzetprijsindex[/C][C]96.6526455350593[/C][C]97.3[/C][C]97.9473544649407[/C][/ROW]
[ROW][C]investeringen[/C][C]48.5928905074159[/C][C]54.5[/C][C]60.4071094925841[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19813&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19813&T=2

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


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

Boxplot Notches
Variablelower boundmedianupper bound
totale_industrie99.717476951119101.7103.682523048881
kledingproductie84.568973351031387.390.0310266489687
afzetprijsindex96.652645535059397.397.9473544649407
investeringen48.592890507415954.560.4071094925841


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
Parameters (R input):
par1 = grey ;
R code (references can be found in the software module):
z <- as.data.frame(t(y))
bitmap(file='test1.png')
(r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=TRUE,col=par1))
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,hyperlink('lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE)
a<-table.element(a,hyperlink('lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE)
a<-table.element(a,hyperlink('central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE)
a<-table.element(a,hyperlink('upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE)
a<-table.element(a,hyperlink('upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
for (j in 1:5)
{
a<-table.element(a,r$stats[j,i])
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,r$conf[1,i])
a<-table.element(a,r$stats[3,i])
a<-table.element(a,r$conf[2,i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')