Book iq test. Relational intelligence and genetics. Study about the hereditary nature of these brain functions. Statistics and psychology about IQ and families: father, mother, brothers, siblings and twins.

 




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The EDI Study - Elegant design of intelligence.

THE EDI STUDY

ELEGANT DESIGN OF INTELLIGENCE!

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Statistical research of the hereditary nature of intelligence with IQ data source (Stanford Binet and Wechsler test)
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Index

  1. Statistical research on elegant intelligence

  2. Flynn effect and other statistical studies
     
  3. IQ data source. Intelligent quotients
  4. Individual model of intelligence

  5. Social model of intelligence
  6. Global model
  7. Parametrized Globus model with mate selection
     
  8. Family and identical twin study
     
  9. Results: bases for the alternative theory of evolution
     
  10. Appendix
*   *   *
Online book of The EDI Study on experimental psychology. Statistical study with IQ test data about the nature of intelligence.

 
 

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 arrangment.
  • 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.

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.

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.

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 r² 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 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 Bellevueintelligence 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 simulaton of the General Theory of Conditional Evolution of Life. They should behave like the 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.

STATISTICAL GRAPHS

Statistical study
1 - Social Model: T1, T4 and WB  

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

Statistical study
2 - Social Model: T1-d, X3 and X6  

Order
Objective function
R
M & F
Graphics GMCI r² max. Graphics 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
WB q027 15,05 0,91 q028 17,20 0,88

Statistical study
Method of Verification Genetics Information (VGI) 

Arrangement
Order
Objective function
R
M & F
Graphics GMCI r² max. Graphics 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
F q043 12,28 0,69 q044 14,38 0,80
2F2M q045 9,20 0,56 q046 12,39 0,70

Statistical study
Development of artificial intelligence quotients  

Graphics Subject Observations
q050 WMCI Too high
q060 WMCI Similar to GMCI

Statistical study
5 - Global Model: T1, T4 and WB  

Order
Objective function
R°
M & F
Graphics GMCI r² max. Graphics 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
R° 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

Statistical study
6 - Global Model: T1-d, X3 and X6  

Order
Objective function
R°
M & F
Graphics GMCI r² max. Graphics 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
R° q065° 15,55 0,84 q066° 17,40 0,97
WB q067° 15,05 0,91 q068 17,20 0,88
° Internal evolution parameters affect the objective function R and M1F1 order

Statistical study
7 - Globus parametrized model  

variable X3
q073°		 variable X6
q076°		 sexual selection & X6 - q077°

Internal evolution adjustment  

Parameters
Evo. interna°
T1-d, X3 and X6 and order M1F1*
Objective function
Direct Indirect
R°
M & F
Mothers Graphics GMCI r² max. Graphics GMCI r² max.
7 7   13,45 0,70   13,51 0,70
6 6   14,11 0,72   14,19 0,72
5 5 q071° 14,14 0,72 q072° 14,46 0,72
4 4   13,78 0,74   14,34 0,74
3 3   14,21 0,82   14,81 0,82
2 2   13,90 0,87   14,31 0,87
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 0r64° 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

Statistical study
8 - Family - Identical twin study  

Graphics Subject Observations
q071°  q072° Evolution of CI mothers Adjustment evolution
Globus Model
q081 Relation Twins and brothers Identical twins
q082° Twin brothers
q083° Clones Replica q053°
q084° Clones Replica q056°
q085   q086° Mothers & Fathers Order M adn evolution
q087   q088° Order P adn evolution
0r89° Partner Sexual selection
Super Globus Model
° Internal evolution parameters affect the objective function R and M1F1 order

 

GRAPHICS - FIGURES INDEX


 

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