STATISTICAL ABSTRACT
METHODOLOGY OF THE STATISTICAL STUDY

The title of each graph of the statistical study indicates the parents' variables (R or M & F) to which the correlations relate. Each point of the colored lines represents the correlations with the observational C variables of the 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, appear on the left-hand side of the graph. The criteria order of the groups of 1 to 10 values located on the right-hand side is 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 IQ variable of the fathers, mothers, and children
  • 8 variables of the IQ of 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 these interrelations, that is, more than 1,000,000 values. Note that the average of any two values has a dynamic that is independent of the two values.

An example of the data source could be having a historical sample of 70 packets of cigarettes. However, the sample can be of 70 elements, or many more if, for each packet, the analysis would consider the following aspects:

  • The number of cigarettes per packet
  • The size of the cigarettes
  • The type of cardboard the packet has
  • 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
Multiple data in a single object
From an object it is possible to obtain much information of its different characteristics.

The graphs show a instantaneous perception of the goodness-of-fit of a specification; they represent sixty coefficients of determination (r²) that highlights the underlying relations of the involved data.

In order to facilitate the comparative analysis, there is a multidimensional correlation index (from now on MCI) to represent with one number the global precision of the adjustments shown in any graph. It will be 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 GMCI will be 30 since the graphs always contain three variables and ten groupings.

On the right-hand side and below the variable, there are the r² and the GMCI to help to understand 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 allow reaching some crucial conclusions is the model sensitivity of the arrangement criterion.

 
 

DATA SOURCE
VARIABLES OF THE STATISTICAL STUDY

* These variables are the criteria to rearrange the groups in some instances.
**

These variables are the criteria to rearrange the groups in some instances, but only in the statistical survey to verify the method of Logical Verification of Information (LoVeInf) and the exceptional cases of the progenitors in the Curiosities section.

° These variables, in some instances, incorporate the effect of the statistical survey evolutionary parameters.
*R°

The objective function R of the statistical study arises from the General Theory of Conditional Evolution of Life (CEL), Mendelian genetics significance, and applying the method LoVeInf 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 CEL, and it will be the sum of the expected averages of each one of the cases weighted by their probabilities, according to the Mendelian genetics.

M&F Two IQ vectors of a 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°

Children vectors of artificial intelligence quotients are generated by the computer simulation of the Conditional Evolution of Life, they should behave like the children's observational data source.

*(M+F)/2 Vector of IQs produced by the semi-addition of the IQs 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, original variable from the Young Adulthood Study – OTIS intelligence test

**F

IQ vector of the fathers, 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 MODELS
 
 
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

Go to EDI Study

 
 

q011
Statistical study about the heredity and genetics

q012
Statistical study about human genetics with IQ vector of Stanford Binet and Wechsler IQ test.

 

q013
Statistical study about Mendelian genetics with IQ vectors of Stanford Binet and Wechsler IQ test

q014
Statistical study about Gregor Mendel genetics

 

q015
Statistical study about Mendel's genetics with IQ vectors of Stanford Binet and Wechsler intelligence test

q016
Statistical study about genetics' science with IQ vectors of Stanford Binet and Wechsler intelligence test

 

q017
Statistical study about Mendel's genetics with IQ vectors of Stanford Binet and Wechsler intelligence test

q018
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

Go to EDI Study

 
 

q021
Statistical article about the Social model of intelligence.

q022
Statistical article about IQs and intelligence test.

 

q023
Statistical article about intelligence quotients (IQs).
Back to Globus Model
q024
Statistical article about intelligence quotient scale.
Back to Globus Model

 

q025
Statistical study about Wechsler intelligence test.

q026
Statistical article about Wechsler intelligence scale.

 

q027
Statistical article about Stanford Binet intelligence scale.

q028
Statistical article about Stanford Binet iq scale.

 
SOCIAL MODEL: METHOD LoVeInf Statistical 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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q031
Quantitative research about dominant and recessive genes

q032
Quantitative research about the genetic code relation with intelligence.

 

q033
Genetic research about evolution of intelligence.

q034
Genetic information about evolution of intelligence.

 

q035
Genetic manipulation about evolution of intelligence.

q036
Genetic m,odifications about evolution of intelligence.

 

q041
Main functions of intelligence are concentrated in only one chromosome.

q042
Main functions of intelligence are concentrated in only one chromosome.

 

q043
Genetic predisposition about evolution of intelligence.

q044
Quantitative research about dominant and recessive genes

 

q045
Quantitative research about dominant and recessive genes

q046
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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q050
The Global Model should generate artificial intelligence quotients

q060
Computer simulation of model of evolution of intelligence

 
GLOBAL MODEL: T1, T4, and WB Original variables - 5% internal evolution
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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q051
The Global Model of evolution of intelligence confirms the hereditary nature of intelligence

q052
The Global Model of evolution of intelligence confirms the hereditary nature of intelligence

 

q053
The Global Model of evolution of intelligence confirms the heritability of intelligence

Back to family study

q054
The Global Model of evolution resolves the debate heredity vs. environment

 

q055
The Global Model of evolution resolves the debate between heredity and environment

q056
Global Model with development of artificial intelligence.

Back to family study

 

q057
Computer simulation with IQ statistical regression model of evolution of intelligence

q058
Computer simulation with IQ statistical correlation model of evolution of intelligence
 
GLOBAL MODEL: T1-d, X3, and X6 Centered variables - 5% internal evolution
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

Go to EDI Study

 
 

q061
The necessity of optimize the evolutionary timeline.

q062
Computer simulation of the complex dinamic system of evolution of intelligence

 

q063
The Global Model resolves the debate nature vs. nurture in intelligence.

Back to Globus Model
Back to family study
q064
The Globall model resolves the debate nature vs. nurture in intelligence.

Back to Globus Model

 

q065
IQ quantitative data set from the Young Adulthood Study

q066
IQ quantitative data set from the Young Adulthood Study

 

q067
IQ quantitative data source from the Young Adulthood Study

q068
Quantitative study and development of artificial intelligence quotients

 
GLOBUS MODEL (Globus parametrized model)

INTERNAL EVOLUTION SENSITIVITY

Parameters
Internal Evo.°
T1-d, X3, and 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

Go to EDI Study

 

q073
The Globus model is a statistical proof of evolution.

q076
Existence of sex linked genes or chromosomes.

 

q077
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 IQ 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 - Sexy Globus Model
 
 

q071
sensitivy analysis to evolution parameters.

Back to family study
q072
Intelligence with evolution and sexual differentiation

Back to family study

 

q081
Some studies of identical twins and non identical twins

q082
Some research of identical twins and non identical twins

 

q083
Studies environmental twins with the computer simulation

q084
Some IQ studies with environmental twins

 

q085
Statistical study with IQ of mothers as criterion of rearrangement.

q086
Statistical study with IQ of mothers as criterion of rearrangement.

 

q087
Statistical study with IQ of fathers as criterion of rearrangement.

q088
Statistical study with IQ of fathers as criterion of rearrangement.

 

q089
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!