STATISTICAL ABSTRACT
METHODOLOGY OF THE STATISTICAL STUDY

The title of each graph of the of the statistical study indicates the parents variables (R or M & F) to which the correlations are related. These correlations are represented by each point of the coloured lines corresponding to each examined C variable (children).

Likewise, the variables of unknown order, formed by the different groups of 1 to 10 values from the 70 IQ values of each parent and children variables are placed on the left hand side of the graph. The groups of 1 to 10 values located on the right hand side have been previously ordered with the variable mentioned at the bottom of the graph.

Each graph condenses more than 5,000 different points of information for the interrelations between:

  • 70 values of each CI variable of the fathers, mothers, and children.
  • 8 variables of the CI fathers, mothers, and children.
  • 3 variables of individual averages of the previous variables.
  • 10 criteria of value arrangement.
  • 10 sizes of groupings of individuals.
  • 20 values of evolution’s parameters in a sensitivity analysis.
  • Countless random variables created in the simulation model.

The set of graphs collects all of these interrelations, that is, more than 1,000,000 values. Note that the average of any two values has its own dynamic and is more or less independent of the other two values.

As an example of the information’s validity, one could put forth the case of having a historical sample of 70 packets of cigarettes. The sample can be considered consisting of 70 elements, or many more if we consider that for each packet the following could be investigated:

  • The number of cigarettes per packet.
  • The size of the cigarettes.
  • The type of cardboard the packet is made of.
  • The color.
  • If it has any images.
  • If it has any health warnings.
  • The type or severity of these warnings.
  • Information about the level of nicotine and tar.
  • etc.
Data
Data

Indeed, an almost instantaneous perception of the exactitude of the particular specification is obtained; sixty coefficients of determination (r2) are shown in a way that highlights the global and underlying relations of the involved data.

In order to facilitate the comparative analysis, a multidimensional correlation index has been defined (hereinafter MCI) to represent the global precision of the adjustments shown in any graph with one number. It will be made up of the sum of the determination coefficients of the ten rearranged variables.

There will be an MCI for each variable and a global MCI for the three variables studied in each graph. The maximum G-MCI will be 30, since 3 different variables and ten groups are always used.

On the right hand side and below the variable, the and the GMCI are shown to help understanding the correlations involved.

The results are surprising, which can be observed both in the graphs of the statistical annex and in the following tables. An aspect that will especially allow us to reach some important conclusions is the model sensitivity of the arrangement criterion.

DATA SOURCE AND VARIABLES OF THE STATISTICAL STUDY

* These variables have been used to rearranged the groups in certain cases.
**

These variables have been used to rearrange the groups in certain cases, but only in the statistical survey to verify the Method of Verification of the Genetic Information (VGI) and the special cases of the progenitors in the Curiosities section.

° These variables, in certain cases, incorporate the effect of the statistical survey evolutionary parameters.
* R ° The objective function R of the statistical study is determined in accordance with the General Theory of Conditional Evolution of Life (GTCEL), Mendelian genetics significance and applying the method VGI to the intelligence quotients of the mothers (M) and fathers (F). Function R is the mathematical expected average of the capacity of the children in agreement with the GTCEL and it will be the sum of the expected averages of each one of the cases weighed by their probabilities according the Mendelian genetics.
M & F The two IQ vectors are use simultaneously in statistical regression using ordinary least squares with one IQ vector of the children.
T1 IQ vector of children - Original variable from the Young Adulthood Study - Stanford-Binet intelligence test.
T4 IQ vector of children - Original variable from the Young Adulthood Study - Stanford-Binet intelligence test applied when children were 12 years old.
* WB IQ vector of children - Original variable from the Young Adulthood Study - Wechsler Bellevue intelligence test applied when children were 13 years old.
T1-d IQ vector of children - T1 with smoothed tails, 10% of X6
X3 IQ vector of children - Mean of three original variables from the Young Adulthood Study.
* X6 IQ vector of children - Mean of six original variables from the Young Adulthood Study.
* W °

Vectors of artificial intelligence quotients are generated by the computer simulation of the General Theory of Conditional Evolution of Life. They should behave like the children observational data source.

* (M+F)/2 Vector of IQs are produced by the semi-addition of the intelligence quotients of the mother M and the father F.
* M1F1 ° Vector of IQs obtained with the lowest value of M and F of each family, either the intelligence quotient of the father or the intelligence quotient of the mother.
** M

IQ vector of the mothers (M) - Original variable from the Young Adulthood Study - OTIS intelligence test.

** F

IQ vector of the fathers (F) - Original variable from the Young Adulthood Study - OTIS intelligence test.

** 2F2M Vector of IQs obtained with the highest value of M and F of each family, either the intelligence quotient of the father or the intelligence quotient of the mother.
Appendix: Graphics table
STATISTICAL GRAPHS
SOCIAL MODEL: T1, T4 and WB Statistical study on IQ
Order Objective function
R M & F
Graphics GMCI r² max. Graphics GMCI r² max.
(M+F)/2 q011 12,48 0,67 q012 13,05 0,80
M1F1 q013 12,17 0,87 q014 13,28 0,87
R q015 12,07 0,74 q016 13,05 0,75
WB q017 13,22 0,92 q018 14,68 0,99

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Statistical study about the heredity and genetics
Statistical study about human genetics with IQ vector of Stanford Binet and Wechsler IQ test.
Statistical study about Mendelian genetics with IQ vectors of Stanford Binet and Wechsler IQ test
Statistical study about Gregor Mendel genetics
Statistical study about Mendel's genetics with IQ vectors of Stanford Binet and Wechsler intelligence test
Statistical study about genetics' science with IQ vectors of Stanford Binet and Wechsler intelligence test
Statistical study about Mendel's genetics with IQ vectors of Stanford Binet and Wechsler intelligence test
Statistical study about Genetics and Mendelian significance
SOCIAL MODEL: T1-d, X3 and X6 Statistical study on IQ
Order Objective function
R M & F
Graphs GMCI r² max. Graphs GMCI r² max.
(M+F)/2 q021 15,71 0,79 q022 16,03 0,80
M1F1 q023 14,98 0,92 q024 16,07 0,92
R q025 15,02 0,89 q026 15,88 0,90
X6 q027 15,05 0,91 q028 17,20 0,88

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Statistical article about the Social model of intelligence.
Statistical article about IQs and intelligence test.
Statistical article about intelligence quotients (IQs).

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Statistical article about intelligence quotient scale.

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Statistical study about Wechsler intelligence test.
Statistical article about Wechsler intelligence scale.
Statistical article about Stanford Binet intelligence scale.
Statistical article about Stanford Binet iq scale.
SOCIAL MODEL: METHOD GIVStatistical study on IQ
Order Objective function
R M & F
Graphs GMCI r² max. Graphs GMCI r² max.
3 - Original variables T1, T4 and WB
M q031 8,48 0,61 q032 9,16 0,69
F q033 9,44 0,59 q034 12,52 0,78
2F2M q035 7,55 0,61 q036 10,25 0,73
4 - Centred variables T1-d, X3 and X6
M q041 11,79 0,67 q042 12,14 0,71
P q043 12,28 0,69 q044 14,38 0,80
2F2M q045 9,20 0,56 q046 12,39 0,70

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Quantitative research about dominant and recessive genes
Quantitative research about the genetic code relation with intelligence.
Genetic research about evolution of intelligence.
Genetic information about evolution of intelligence.
Genetic manipulation about evolution of intelligence.
Genetic m,odifications about evolution of intelligence.
Main functions of intelligence are concentrated in only one chromosome.
Main functions of intelligence are concentrated in only one chromosome.
Genetic predisposition about evolution of intelligence.
Quantitative research about dominant and recessive genes
Quantitative research about dominant and recessive genes
Quantitative research about genetic inheritance and intelligence.
Computer simulation of evolution
Intelligence Artificial intelligence quotients
Graphics Subject Observations
q050 MCIW Too high
q060 MCIW Similar to GMCI

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The Global model should generate artificial intelligence quotients
Computer simulation of model of evolution of intelligence
GLOBAL MODEL: T1, T4 and WB Statistical study on IQ
Order Objective function
M & F
Graphs GMCI r² max. Graphs GMCI r² max.
(M+F)/2 q051° 11,73 0,62 q052 13,05 0,80
M1F1° q053° 10,91 0,79 q054° 13,04 0,79
q055° 10,83 0,73 q056° 12,63 0,94
WB q057° 12,26 0,89 q058 14,68 0,99
° Internal evolution parameters affect the objective function R and M1F1 order

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The Global model of evolution of intelligence confirms the hereditary nature of intelligence
The Global model of evolution of intelligence confirms the hereditary nature of intelligence
The Global model of evolution of intelligence confirms the heritability of intelligence

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The Global model of evolution resolves the debate heredity vs. environment
The Global model of evolution resolves the debate between heredity and environment
Global model with development of artificial intelligence.

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Computer simulation with IQ statistical regression model of evolution of intelligence
Computer simulation with IQ statistical correlation model of evolution of intelligence
GLOBAL MODEL: T1-d, X3 and X6 Statistical study on IQ
Order Objective function
M & F
Graphs GMCI r² max. Graphs GMCI r² max.
(M+F)/2 q061° 14,70 0,77 q062 16,03 0,80
M1F1° q063° 15,61 0,89 q064° 17,77 0,89
q065° 15,55 0,84 q066° 17,40 0,97
X6 q067° 15,05 0,91 q068 17,20 0,88
° Internal evolution parameters affect the objective function R and M1F1 order

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The necessity of optimize the evolutionary timeline.
Computer simulation of the complex dinamic system of evolution of intelligence
The Global model resolves the debate nature vs. nurture in intelligence.

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The Globall model resolves the debate nature vs. nurture in intelligence.

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IQ quantitative data set from the Young Adulthood Study
IQ quantitative data set from the Young Adulthood Study
IQ quantitative data source from the Young Adulthood Study
Quantitative study and development of artificial intelligence quotients
GLOBUS MODEL(Globus parametrized model)

TABLE: INTERNAL EVOLUTION SENSITIVITY

Parameters
Internal Evo.°
T1-d, X3 y X6 and arrangement criterion M1F1°
Objective function
Direct Indirect M & F
Mothers Graphs GMCI r² max. Graphs GMCI r² max.
5 5 q071° 14,14 0,72 q072° 14,46 0,72
3 3   14,21 0,82   14,81 0,82
1 1   13,49 0,80   13,89 0,80
Null            
0 0 q023 14,98 0,92 q024 16,07 0,92
Fathers            
1 1   14,06 0,83   16,10 0,87
2 3   14,79 0,87   16,10 0,87
3 3   15,33 0,84   16,47 0,84
4 4   15,09 0,84   16,73 0,84
5 5 q063° 15,61 0,89 q064° 17,77 0,89
6 6   14,30 0,95   16,74 0,95
7 7   13,25 0,83   15,56 0,83
° Internal evolution parameters affect the objective function R and M1F1 order

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The Globus model is a statistical proof of evolution.
Existence of sex linked genes or chromosomes.
The model will sense the effect of sexual attraction on mate selection.
Statistical study
8 - Family - Identical twin study
Graphics Family relationships Observations
q071°
q072°
Evolution with CI Mothers Adjustment for Globus Model
q081 Relation between
children H
Identical twins
q082° Siblings or dizygotic twins
q083°
q084°
Clons Replica q053 °
Clons Replica q056 °
(1 Mothers q085)  
(2 Mothers q086°)
Progenitors Rearrangement criteria M and evolution
(3 Fathers q087) 
(4 Fathers q088° )
Rearrangement criteria F and evolution
q089° Sexual selection - Couples Without sexual selection (q063°)
With - Super Globus Model

sensitivy analysis to evolution parameters.

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Intelligence with evolution and sexual differentiation

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Some studies of identical twins and non identical twins
Some research of identical twins and non identical twins
Studies environmental twins with the computer simulation
Some IQ studies with environmental twins
Statistical study with IQ of mothers as criterion of rearrangement.
Statistical study with IQ of mothers as criterion of rearrangement.
Statistical study with IQ of fathers as criterion of rearrangement.
Statistical study with IQ of fathers as criterion of rearrangement.

 

Darwin himself wrote about sexual selection.

* * *

 

 

 

When Globus finished the book,
he happily calls Mª José to tell it to her
and asked her:

–Do you think Goblin will like it?–

Mª José replied:

–Don’t worry,
you already know his glimpses of children paranoia!