Refinement of Hypothesis Testing in Conjugation Tables of r(c Size on the Example of Testing New Forms of Treatment

Refinement of Hypothesis Testing in Conjugation Tables of r(c Size on the Example of Testing New Forms of Treatment

Lidiya Filippovna Taenvat, Mikhail Mikhailovith Taenvat
DOI: 10.4018/IJHSTM.306691
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Abstract

The statistical reliability is specified and the proofs of it at comparison of forms of treatment by a method of mathematical statistics for cases when there is a question of life or death of the patient are resulted. Three forms of treatment are considered, but there can be any number of forms. Four ways to determine the observed chi-squared distribution are given. The calculations are repeated in MATLAB, PHStat2, and Microsoft Office Excel. Readers can learn how to create chi-square plots by clicking on the link to the interactive book of the highest quality design. All actions are given in such detail that complex statistical science has lost complexity here. This solution is applicable in the production of aerospace equipment, weapons, ammunition, non-medical new chemicals and in other areas requiring the highest quality. The authors believe that the side effects of the digestive system of Movalis are not safe enough.
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1. Overview Of An Example From The Directory Of Dr. Sachs

The authors of this article reviewed an excerpt from the authoritative reference book on statistical evaluation by Professor Dr. Sachs (Germany). Just by looking at the amazing size of the bibliography, you will quickly understand how fundamental this work is. Nevertheless, the authors of the article discovered flaws of the directory:

  • 1.

    The error of the minimum permissible statistical reliability for this example is a «sight» error, which may lead the authors of new forms of treatment, manufacturers of new drugs, just new substances, to serious consequences;

  • 2.

    The understated value of the statistical reliability obtained in this example;

In addition to the above, we can point to two insignificant technical gaps in essence:

  • Absence of computer programs for mathematical calculation;

  • The absence of a computer program for plotting chi-square distribution.

Consider this example (Sachs, 1976): «Experimental plan: there are three groups of 40 patients each ...1 the third group receives specific treatment with a double normal dose.»

Zero hypothesis: the results of the treatment of the three methods are the same.

Alternative hypothesis: the outcome of the treatment of the three methods is not the same.

Level of significance: 95%.

Dr. Sachs continues (Sachs, 1976): «The choice of criteria: a multicellular criterion is considered.» And here (Sachs, 1976): «The main field of application of this distribution is open, Helmert (1876) and Pearson (1900), – it is a test of hypotheses about contingency tables of signs 2x2 and larger size.»

The universal table 1 served as a template for the contingency table of size signs 3x3 (Table 2).

Table 1.
Scheme for two-sided classification: one of two series of features can be considered as a series of samples
1-2-j-cSums in rows
1

IJHSTM.306691.m01
IJHSTM.306691.m02
2IJHSTM.306691.m03IJHSTM.306691.m04
-------
IIJHSTM.306691.m05IJHSTM.306691.m06
-------
rIJHSTM.306691.m07IJHSTM.306691.m08
Sums by columnsIJHSTM.306691.m09IJHSTM.306691.m10

Source: Sachs, L. Statistical estimators, Transl. from Germ. / L. Sachs – Moscow: Statistics, 1976. – 598; P. 433.

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