A Note on Probability Value [p]
and
Statistical Analysis.
Someone may ask if these changes in social trends attributed to the
Unified Field Technology (TM Sidhi) effect could have been caused
by something else. Most of these studies have used rigorous time series analysis which can determine whether
the observed changes could have been caused by regular or even unknown causes.
What about other factors like e.g. changes in the population density, in the economy, in the percentage of teenagers in the population,etc. which can affect e.g. crime rates. Most Unified Field(TM Sidhi) technology effect studies statistically filtered them out, isolating the influence of the Unified Field Technology (TM Sidhi).
Could these changes have happened purely by chance? Statistical tools also enable researchers to answer this question. For each effect in each study there is a [P] value: The probability that after rigorous excluding of all other factors , the effect happened by chance.
________________________________________________________
The smaller the [P] Value, the greater the assurance
that the effect was obtained as the outcome of the experiment.
Prepared on the basis of the statistical research findings, the
studies presented in "References", on 42 U.F.T. Field Tests
1972-1994. Consultation: The G.A.P.W.M. Scientific Advisory
Board