View
214
Download
1
Tags:
Embed Size (px)
DESCRIPTION
trabajo de estadistica
Citation preview
DIANA PATRICIA ORTIZ
2060399
Frequency Table for ESTRATO
------------------------------------------------------------------------
Relative Cumulative Cum. Rel.
Class Value Frequency Frequency Frequency Frequency
------------------------------------------------------------------------
1 1 4 0,0800 4 0,0800
2 2 11 0,2200 15 0,3000
3 3 20 0,4000 35 0,7000
4 4 13 0,2600 48 0,9600
5 5 2 0,0400 50 1,0000
------------------------------------------------------------------------
The StatAdvisor
---------------
This table shows the number of times each value of ESTRATO
occurred, as well as percentages and cumulative statistics. For
example, in 4 rows of the data file ESTRATO equaled 1. This
represents 8,0% of the 50 values in the file. The rightmost two
columns give cumulative counts and percentages from the top of the
table down.
ESTRATO
0 4 8 12 16 20
frequency
1
2
3
4
5
ESTRATO
ESTRATO12345
8,00%
22,00%
40,00%
26,00%
4,00%
Análisis:
Se define que una empresa comercializadora de energía toma sus datos del estrato 1 al 5 y tenemos que en el estrato 1 hay 8,00%, el estrato 2 el 22,00%, estrato 3 40,00%, estrato 4 el 26,00% y el estrato 5 4,00%5.
Estos son los valores de cada estrato de la energía que produce cada uno.
# PERSONAS POR HOGAR
Analysis Summary
Data variable: # PERSONAS POR HOGAR
50 values ranging from 3,0 to 7,0
The StatAdvisor
---------------
This procedure is designed to summarize a single sample of data.
It will calculate various statistics and graphs. Also included in the
procedure are confidence intervals and hypothesis tests. Use the
Tabular Options and Graphical Options buttons on the analysis toolbar
to access these different procedures.
Summary Statistics for # PERSONAS POR HOGAR
Count = 50
Average = 5,1
Median = 5,0
Variance = 1,31633
Standard deviation = 1,14731
Minimum = 3,0
Maximum = 7,0
Range = 4,0
Lower quartile = 4,0
Upper quartile = 6,0
Stnd. skewness = -0,0975232
Stnd. kurtosis = -0,648362
The StatAdvisor
---------------
This table shows summary statistics for # PERSONAS POR HOGAR. It
includes measures of central tendency, measures of variability, and
measures of shape. Of particular interest here are the standardized
skewness and standardized kurtosis, which can be used to determine
whether the sample comes from a normal distribution. Values of these
statistics outside the range of -2 to +2 indicate significant
departures from normality, which would tend to invalidate any
statistical test regarding the standard deviation. In this case, the
standardized skewness value is within the range expected for data from
a normal distribution. The standardized kurtosis value is within the
range expected for data from a normal distribution.
Percentiles for # PERSONAS POR HOGAR
1,0% = 3,0
5,0% = 3,0
10,0% = 3,5
25,0% = 4,0
50,0% = 5,0
75,0% = 6,0
90,0% = 7,0
95,0% = 7,0
99,0% = 7,0
The StatAdvisor
---------------
This pane shows sample percentiles for # PERSONAS POR HOGAR. The
percentiles are values below which specific percentages of the data
are found. You can see the percentiles graphically by selecting
Quantile Plot from the list of Graphical Options.
Percentiles for # PERSONAS POR HOGAR
1,0% = 3,0
5,0% = 3,0
10,0% = 3,5
25,0% = 4,0
50,0% = 5,0
75,0% = 6,0
90,0% = 7,0
95,0% = 7,0
99,0% = 7,0
The StatAdvisor
---------------
This pane shows sample percentiles for # PERSONAS POR HOGAR. The
percentiles are values below which specific percentages of the data
are found. You can see the percentiles graphically by selecting
Quantile Plot from the list of Graphical Options.
Frequency Tabulation for # PERSONAS POR HOGAR
--------------------------------------------------------------------------------
Lower Upper Relative Cumulative Cum. Rel.
Class Limit Limit Midpoint Frequency Frequency Frequency Frequency
--------------------------------------------------------------------------------
at or below 2,8 0 0,0000 0 0,0000
1 2,8 3,51429 3,15714 5 0,1000 5 0,1000
2 3,51429 4,22857 3,87143 8 0,1600 13 0,2600
3 4,22857 4,94286 4,58571 0 0,0000 13 0,2600
4 4,94286 5,65714 5,3 21 0,4200 34 0,6800
5 5,65714 6,37143 6,01429 9 0,1800 43 0,8600
6 6,37143 7,08571 6,72857 7 0,1400 50 1,0000
7 7,08571 7,8 7,44286 0 0,0000 50 1,0000
above 7,8 0 0,0000 50 1,0000
--------------------------------------------------------------------------------
Mean = 5,1 Standard deviation = 1,14731
The StatAdvisor
---------------
This option performs a frequency tabulation by dividing the range
of # PERSONAS POR HOGAR into equal width intervals and counting the
number of data values in each interval. The frequencies show the
number of data values in each interval, while the relative frequencies
show the proportions in each interval. You can change the definition
of the intervals by pressing the alternate mouse button and selecting
Pane Options. You can see the results of the tabulation graphically
by selecting Frequency Histogram from the list of Graphical Options.
DIAGRAMA DE CAJA
# PERSONAS POR HOGAR3 4 5 6 7
HISTOGRAMA
# PERSONAS POR HOGAR
freq
uenc
y
2,8 3,8 4,8 5,8 6,8 7,80
4
8
12
16
20
24
Analysis:
Estos son los datos del Número de Personas por hogar que consumen energía, donde se muestra los percentiles y la tabla tabulando los datos.
CONSUMO MENSUAL EN KW-H
Analysis Summary
Data variable: CONS KHM
50 values ranging from 48,0 to 153,4
The StatAdvisor
---------------
This procedure is designed to summarize a single sample of data.
It will calculate various statistics and graphs. Also included in the
procedure are confidence intervals and hypothesis tests. Use the
Tabular Options and Graphical Options buttons on the analysis toolbar
to access these different procedures.
Summary Statistics for CONS KHM
Count = 50
Average = 99,756
Median = 96,95
Variance = 602,045
Standard deviation = 24,5366
Minimum = 48,0
Maximum = 153,4
Range = 105,4
Lower quartile = 83,6
Upper quartile = 120,1
Stnd. skewness = 0,690105
Stnd. kurtosis = -0,725165
The StatAdvisor
---------------
This table shows summary statistics for CONS KHM. It includes
measures of central tendency, measures of variability, and measures of
shape. Of particular interest here are the standardized skewness and
standardized kurtosis, which can be used to determine whether the
sample comes from a normal distribution. Values of these statistics
outside the range of -2 to +2 indicate significant departures from
normality, which would tend to invalidate any statistical test
regarding the standard deviation. In this case, the standardized
skewness value is within the range expected for data from a normal
distribution. The standardized kurtosis value is within the range
expected for data from a normal distribution.
Percentiles for CONS KHM
1,0% = 48,0
5,0% = 65,7
10,0% = 69,0
25,0% = 83,6
50,0% = 96,95
75,0% = 120,1
90,0% = 136,05
95,0% = 141,1
99,0% = 153,4
The StatAdvisor
---------------
This pane shows sample percentiles for CONS KHM. The percentiles
are values below which specific percentages of the data are found.
You can see the percentiles graphically by selecting Quantile Plot
from the list of Graphical Options.
Frequency Tabulation for CONS KHM
--------------------------------------------------------------------------------
Lower Upper Relative Cumulative Cum. Rel.
Class Limit Limit Midpoint Frequency Frequency Frequency Frequency
--------------------------------------------------------------------------------
at or below 40,0 0 0,0000 0 0,0000
1 40,0 57,1429 48,5714 1 0,0200 1 0,0200
2 57,1429 74,2857 65,7143 8 0,1600 9 0,1800
3 74,2857 91,4286 82,8571 11 0,2200 20 0,4000
4 91,4286 108,571 100,0 12 0,2400 32 0,6400
5 108,571 125,714 117,143 10 0,2000 42 0,8400
6 125,714 142,857 134,286 6 0,1200 48 0,9600
7 142,857 160,0 151,429 2 0,0400 50 1,0000
above 160,0 0 0,0000 50 1,0000
--------------------------------------------------------------------------------
Mean = 99,756 Standard deviation = 24,5366
The StatAdvisor
---------------
This option performs a frequency tabulation by dividing the range
of CONS KHM into equal width intervals and counting the number of data
values in each interval. The frequencies show the number of data
values in each interval, while the relative frequencies show the
proportions in each interval. You can change the definition of the
intervals by pressing the alternate mouse button and selecting Pane
Options. You can see the results of the tabulation graphically by
selecting Frequency Histogram from the list of Graphical Options.
Box-and-Whisker Plot
40 60 80 100 120 140 160
CONS KHM
Histogram
40 60 80 100 120 140 160
CONS KHM
0
2
4
6
8
10
12
fre
qu
en
cy
COCINA CON GAS
Analysis Summary
Data variable: C GAS
Number of observations: 50
Number of unique values: 2
The StatAdvisor
---------------
This procedure counts the number of times each of the 2 unique
values of C GAS occurs. It then displays tables and graphs of the
tabulation.
Frequency Table for C GAS
------------------------------------------------------------------------
Relative Cumulative Cum. Rel.
Class Value Frequency Frequency Frequency Frequency
------------------------------------------------------------------------
1 No 15 0,3000 15 0,3000
2 Si 35 0,7000 50 1,0000
------------------------------------------------------------------------
The StatAdvisor
---------------
This table shows the number of times each value of C GAS occurred,
as well as percentages and cumulative statistics. For example, in 15
rows of the data file C GAS equaled No. This represents 30,0% of the
50 values in the file. The rightmost two columns give cumulative
counts and percentages from the top of the table down.
COCINA CON GAS
0 10 20 30 40
frequency
No
Si
COCINA CON GAS
C GASNoSi
30,00%
70,00%
No. de ELECTRODOMESTICOS EN EL HOGAR
Analysis Summary
Data variable: # ELECT H
50 values ranging from 1,0 to 5,0
The StatAdvisor
---------------
This procedure is designed to summarize a single sample of data.
It will calculate various statistics and graphs. Also included in the
procedure are confidence intervals and hypothesis tests. Use the
Tabular Options and Graphical Options buttons on the analysis toolbar
to access these different procedures.
Summary Statistics for # ELECT H
Count = 50
Average = 3,14
Median = 3,0
Variance = 1,34735
Standard deviation = 1,16075
Minimum = 1,0
Maximum = 5,0
Range = 4,0
Lower quartile = 2,0
Upper quartile = 4,0
Stnd. skewness = -0,347881
Stnd. kurtosis = -0,790157
The StatAdvisor
---------------
This table shows summary statistics for # ELECT H. It includes
measures of central tendency, measures of variability, and measures of
shape. Of particular interest here are the standardized skewness and
standardized kurtosis, which can be used to determine whether the
sample comes from a normal distribution. Values of these statistics
outside the range of -2 to +2 indicate significant departures from
normality, which would tend to invalidate any statistical test
regarding the standard deviation. In this case, the standardized
skewness value is within the range expected for data from a normal
distribution. The standardized kurtosis value is within the range
expected for data from a normal distribution.
Percentiles for # ELECT H
1,0% = 1,0
5,0% = 1,0
10,0% = 1,5
25,0% = 2,0
50,0% = 3,0
75,0% = 4,0
90,0% = 5,0
95,0% = 5,0
99,0% = 5,0
The StatAdvisor
---------------
This pane shows sample percentiles for # ELECT H. The percentiles
are values below which specific percentages of the data are found.
You can see the percentiles graphically by selecting Quantile Plot
from the list of Graphical Options.
Frequency Tabulation for # ELECT H
--------------------------------------------------------------------------------
Lower Upper Relative Cumulative Cum. Rel.
Class Limit Limit Midpoint Frequency Frequency Frequency Frequency
--------------------------------------------------------------------------------
at or below 0,0 0 0,0000 0 0,0000
1 0,0 0,857143 0,428571 0 0,0000 0 0,0000
2 0,857143 1,71429 1,28571 5 0,1000 5 0,1000
3 1,71429 2,57143 2,14286 8 0,1600 13 0,2600
4 2,57143 3,42857 3,0 19 0,3800 32 0,6400
5 3,42857 4,28571 3,85714 11 0,2200 43 0,8600
6 4,28571 5,14286 4,71429 7 0,1400 50 1,0000
7 5,14286 6,0 5,57143 0 0,0000 50 1,0000
above 6,0 0 0,0000 50 1,0000
--------------------------------------------------------------------------------
Mean = 3,14 Standard deviation = 1,16075
The StatAdvisor
---------------
This option performs a frequency tabulation by dividing the range
of # ELECT H into equal width intervals and counting the number of
data values in each interval. The frequencies show the number of data
values in each interval, while the relative frequencies show the
proportions in each interval. You can change the definition of the
intervals by pressing the alternate mouse button and selecting Pane
Options. You can see the results of the tabulation graphically by
selecting Frequency Histogram from the list of Graphical Options.
Box-and-Whisker Plot
0 1 2 3 4 5
# ELECT H
Histogram
0 1 2 3 4 5 6
# ELECT H
0
4
8
12
16
20
fre
qu
en
cy
GENERO DE PERSONAS QUE RESPONDEN LA ENCUESTA
Analysis Summary
Data variable: GPERS
Number of observations: 50
Number of unique values: 2
The StatAdvisor
---------------
This procedure counts the number of times each of the 2 unique
values of GPERS occurs. It then displays tables and graphs of the
tabulation.
Frequency Table for GPERS
------------------------------------------------------------------------
Relative Cumulative Cum. Rel.
Class Value Frequency Frequency Frequency Frequency
------------------------------------------------------------------------
1 F 34 0,6800 34 0,6800
2 M 16 0,3200 50 1,0000
------------------------------------------------------------------------
The StatAdvisor
This table shows the number of times each value of GPERS occurred,
as well as percentages and cumulative statistics. For example, in 34
rows of the data file GPERS equaled F. This represents 68,0% of the
50 values in the file. The rightmost two columns give cumulative
counts and percentages from the top of the table down.
GENERO DE PERSONAS
frequency0 10 20 30 40
F
M
GENERO DE PERSONAS
GPERSFM
68,00%
32,00%
CALIFICACION DEL SERIVICIO
Analysis Summary
Data variable: CSERV
Number of observations: 50
Number of unique values: 5
The StatAdvisor
---------------
This procedure counts the number of times each of the 5 unique
values of CSERV occurs. It then displays tables and graphs of the
tabulation.
Frequency Table for CSERV
------------------------------------------------------------------------
Relative Cumulative Cum. Rel.
Class Value Frequency Frequency Frequency Frequency
------------------------------------------------------------------------
1 1 4 0,0800 4 0,0800
2 2 13 0,2600 17 0,3400
3 3 21 0,4200 38 0,7600
4 4 8 0,1600 46 0,9200
5 5 4 0,0800 50 1,0000
------------------------------------------------------------------------
The StatAdvisor
---------------
This table shows the number of times each value of CSERV occurred,
as well as percentages and cumulative statistics. For example, in 4
rows of the data file CSERV equaled 1. This represents 8,0% of the 50
values in the file. The rightmost two columns give cumulative counts
and percentages from the top of the table down.
C ALIFICACION DEL SERVICIO
0 4 8 12 16 20 24
frequency
1
2
3
4
5
CALIFICACION DEL SERVICIO
CSERV12345
8,00%
26,00%
42,00%
16,00%
8,00%
INGRESO FAMILIAR MENSUAL
Analysis Summary
Data variable: IFM
50 values ranging from 594,8 to 1790,6
The StatAdvisor
---------------
This procedure is designed to summarize a single sample of data.
It will calculate various statistics and graphs. Also included in the
procedure are confidence intervals and hypothesis tests. Use the
Tabular Options and Graphical Options buttons on the analysis toolbar
to access these different procedures.
Summary Statistics for IFM
Count = 50
Average = 740,24
Median = 703,6
Variance = 46100,9
Standard deviation = 214,711
Minimum = 594,8
Maximum = 1790,6
Range = 1195,8
Lower quartile = 667,3
Upper quartile = 733,0
Stnd. skewness = 12,8455
Stnd. kurtosis = 28,7553
The StatAdvisor
---------------
This table shows summary statistics for IFM. It includes measures
of central tendency, measures of variability, and measures of shape.
Of particular interest here are the standardized skewness and
standardized kurtosis, which can be used to determine whether the
sample comes from a normal distribution. Values of these statistics
outside the range of -2 to +2 indicate significant departures from
normality, which would tend to invalidate any statistical test
regarding the standard deviation. In this case, the standardized
skewness value is not within the range expected for data from a normal
distribution. The standardized kurtosis value is not within the range
expected for data from a normal distribution.
Percentiles for IFM
1,0% = 594,8
5,0% = 611,2
10,0% = 629,25
25,0% = 667,3
50,0% = 703,6
75,0% = 733,0
90,0% = 775,95
95,0% = 813,7
99,0% = 1790,6
The StatAdvisor
---------------
This pane shows sample percentiles for IFM. The percentiles are
values below which specific percentages of the data are found. You
can see the percentiles graphically by selecting Quantile Plot from
the list of Graphical Options.
Frequency Tabulation for IFM
--------------------------------------------------------------------------------
Lower Upper Relative Cumulative Cum. Rel.
Class Limit Limit Midpoint Frequency Frequency Frequency Frequency
--------------------------------------------------------------------------------
at or below 500,0 0 0,0000 0 0,0000
1 500,0 714,286 607,143 32 0,6400 32 0,6400
2 714,286 928,571 821,429 16 0,3200 48 0,9600
3 928,571 1142,86 1035,71 0 0,0000 48 0,9600
4 1142,86 1357,14 1250,0 0 0,0000 48 0,9600
5 1357,14 1571,43 1464,29 0 0,0000 48 0,9600
6 1571,43 1785,71 1678,57 1 0,0200 49 0,9800
7 1785,71 2000,0 1892,86 1 0,0200 50 1,0000
above 2000,0 0 0,0000 50 1,0000
--------------------------------------------------------------------------------
Mean = 740,24 Standard deviation = 214,711
The StatAdvisor
---------------
This option performs a frequency tabulation by dividing the range
of IFM into equal width intervals and counting the number of data
values in each interval. The frequencies show the number of data
values in each interval, while the relative frequencies show the
proportions in each interval. You can change the definition of the
intervals by pressing the alternate mouse button and selecting Pane
Options. You can see the results of the tabulation graphically by
selecting Frequency Histogram from the list of Graphical Options.
DIAGRAMA DE CAJA
500 800 1100 1400 1700 2000
IFM