scholarly journals Feature of statistical data processing by computer mathematics systems tools

Radiotekhnika ◽  
2021 ◽  
pp. 131-136
Author(s):  
I. Moshchenko ◽  
O. Nikitenko ◽  
Yu. Kozlov ◽  
Yu. Zharko
Keyword(s):  
Data Processing ◽  
Statistical Data ◽  
Microsoft Excel ◽  
Statistical Data Processing ◽  
Calculation Results ◽  
Error Accumulation ◽  
The Difference ◽  
Mean Variance ◽  
Skewness And Kurtosis

Processes of error accumulation were analysed during arithmetic operations on statistical data obtained in the course of research on oscillations in cross-field electron vacuum devices. The features of statistical data processing obtained as a result of experimental research were investigated using the most widespread computer mathematical packages. The features of statistical data processing were investigated by processing a sample of 80 values of the magnetron generation frequency using popular mathematical packages Excel, Maple, Matlab and MathCad and comparing the results obtained with calculations using theoretical formulas. Calculation results for all packages give the same results for mean, variance and standard deviation. As for the coefficients of skewness and kurtosis, most of the results do not coincide. Analysis of the calculation results showed that the difference in the obtained values ​​of the skewness and kurtosis is due to different definitions of these indicators in mathematical packages Excel, Maple, Matlab and MathCad. It is proved that in Microsoft Excel we cannot correctly construct a histogram without using additional operations, because the interval limits are calculated with errors. It leads to an incorrect determination of the number of elements into these intervals. To build correctly a histogram using the Excel package, it is necessary to calculate the interval limits in advance. It is concluded that before using computer mathematical packages for processing statistical data, it is necessary to analyze first by what formulas the required parameters are calculated and take appropriate measures to eliminate possible discrepancies with the parameters calculated using theoretical formulas.

scholarly journals Peningkatan Kompetensi Dalam Menunjang Kinerja Karyawan Pada PT Batang Bumi Mandiri

2021 ◽  
Vol 12 (3) ◽  
pp. 397-404
Author(s):  
Dekky SI Efendi ◽  
Sonny Hersonna ◽  
DJ Suyaman
Keyword(s):  
Data Processing ◽  
Sampling Method ◽  
Statistical Data ◽  
Research Data ◽  
Coefficient Of Determination ◽  
High Quality ◽  
Statistical Data Processing ◽  
Sample Technique ◽  
Saturated Sample

Competence in an organization or company is important in supporting the performance produced by employees. The management of course will make efforts to increase the competence of its employees with the hope that the performance of the employees will make their work complete and the output produced is of high quality. Recognizing the importance of competence on performance, the authors helped by examining these variables. In this study the researchers collected data by distributing it to all employees at PT Batang Bumi Mandiri with a total of 25, of which the entire population will also be sampled because the sampling method used is the saturated sample technique. In processing this data used statistical data processing tools in the form of SPSS version 26 to assist the author in processing research data. The result of the research is that competence has an effect on performance. The competency variable also has a coefficient of determination of 16.5% to affect performance, while the remaining 83.5% is influenced by other variables not examined in this study.

scholarly journals Features of instrumental research methods in combination of endometrial hyperplasia with chronic endometritis

2021 ◽  
Vol 25 (4) ◽  
pp. 623-627
Author(s):  
V. E. Abdullaiev ◽  
A. M. Hryhorenko
Keyword(s):  
Data Processing ◽  
Diagnostic Criteria ◽  
Personal Computer ◽  
Quantitative Data ◽  
Endometrial Hyperplasia ◽  
Statistical Data ◽  
Control Group ◽  
Microsoft Excel ◽  
Chronic Endometritis ◽  
Statistical Data Processing

Annotation. Hyperplastic processes of the endometrium can be triggered by a chronic inflammatory process. In addition, the importance of the presence of a long hyperproliferative process in the endometrium to accelerate genome modification with significant negative consequences of the development of oncogynecological pathology has been proved. The above risks require the development of clear diagnostic criteria for endometrial hyperplastic processes at the stage of non-invasive instrumental diagnosis. The aim of the study was to establish the features of the impact of chronic endometritis on the risk of neoplastic endometrial processes. A study of 161 women aged 18 to 53 years. Of these, 58 women had a verified diagnosis of endometrial hyperplastic process, and 71 women had endometrial hyperplasia due to chronic endometritis. The control group consisted of 32 women without signs of hyperplastic processes and chronic endometritis. Statistical data processing was performed on a personal computer using Microsoft Excel spreadsheets and the application package Statistica for Windows v.7.0, StatSoft Inc. (USA). All obtained quantitative data were processed by the method of variation statistics. A significant increase in uterine size was found in patients with endometrial hyperplastic processes, an increase in M-echo in patients with a combination of chronic endometritis and endometrial hyperplasia. The control group consisted of 32 somatically healthy women. Statistical data processing was performed on a personal computer using Microsoft Excel spreadsheets and the application package Statistica for Windows v.7.0, StatSoft Inc. (USA). All obtained quantitative data were processed by the method of variation statistics. A significant increase in uterine size was found in patients with endometrial hyperplastic processes, an increase in M-echo in patients with a combination of chronic endometritis and endometrial hyperplasia. The basal artery resistance index was found to be lower in the group of women with chronic endometritis. Similar indicators are established for the values of the pulsation index of the basal arteries of the uterus and the state of the spiral arteries. Thus, the method of ultrasound diagnosis of internal female genitals is a highly sensitive and specific method for the diagnosis of hyperproliferative processes of the endometrium, but has limited informativeness for the diagnosis of chronic endometritis. The combination of ultrasound diagnostics with dopplerometry of uterine vessels and endometrium (with the development of appropriate diagnostic criteria) allows to suspect chronic endometritis at the stage of pre-diagnostic hysteroscopy and subsequent pathomorphological and immunohistochemical examination.

ANALYSIS OF THE FLOODING SYSTEM WITH APPLICATION OF STATISTICAL DATA PROCESSING METHODS

2020 ◽  
pp. 5-9
Author(s):  
A.Yu. Sentsov ◽  
◽  
I.V. Ryabov ◽  
A.A. Ankudinov ◽  
Yu.E. Radevich ◽  
...  
Keyword(s):  
Data Processing ◽  
Statistical Data ◽  
Processing Methods ◽  
Statistical Data Processing ◽  
Data Processing Methods

Use of Mathematical Modeling in Building Ceramics Functional Properties Studies

2016 ◽  
Vol 870 ◽  
pp. 191-195
Author(s):  
N.A. Vil'bitskaya ◽  
S.A. Vilbitsky ◽  
A.G. Avakyan
Keyword(s):  
Mathematical Modeling ◽  
Data Processing ◽  
Ceramic Material ◽  
Functional Properties ◽  
Statistical Data ◽  
Ceramic Tiles ◽  
Processing Methods ◽  
Statistical Data Processing ◽  
High Calcium ◽  
Data Processing Methods

The peculiarities of using mathematical and statistical data processing methods in studying the intensification in the process of sintering a ceramic material with a high content of high-calcium waste, and mineralizing sintering lithium-containing waste were studied. The region of optimal ceramic masses composition, which allows obtaining ceramic tiles with high functional properties, was defined.

scholarly journals Psycholinguistic Issues of Translation, Adaptation and Validation of «The Big Three Perfectionism Scale»

2020 ◽  
Vol 15 ◽  
pp. 59-62
Author(s):  
Tamara Grubi
Keyword(s):  
Factor Analysis ◽  
Data Processing ◽  
Statistical Data ◽  
Reliability And Validity ◽  
Statistical Data Processing ◽  
Pace Of Life ◽  
Rapid Pace

Increased interest in the study of perfectionism of a person is becoming more and more relevant, it can be explained by the rapid pace of life, increasing competition, the cult of perfectionism and individual accomplishments. To diagnose perfectionism they use questionnaires, however, the vast majority of them have two scales. In the «Great Triennial Scale of Perfectionism», perfectionism is viewed as a richly varied construct that combines three types – «hard», «self-critical» and «narcissistic». In turn, each of these types is composed of several scales, which are included in the inventory in order to increase reliability and accuracy in the assessment. The results of the process of translation, adaptation and standardization of the quantifier are presented. Data on primary statistical data processing, reliability, validity of the technique, correlation and factor analysis of its indicators according to psychometric requirements are given. The reliability and validity of the instrument and the possibility to use it for investigative and psychodiagnostic purposes has been proved.

scholarly journals Algorithm of complex anthroposcopic, anthropometric and dermatoglyphic research in forensic identification of an unknown person

2021 ◽  
pp. 36-49
Author(s):  
Halyna Zelenchuk ◽  
Natalia Kozan ◽  
Valeriya Chadiuk
Keyword(s):  
Neural Network ◽  
Data Processing ◽  
Forensic Science ◽  
Research Methods ◽  
Statistical Data ◽  
Forensic Identification ◽  
Statistical Data Processing

The article presents materials and research methods that are used both to identify an unknown person and to predict a person's susceptibility to illegal actions of varying severity. In particular, this article describes anthroposcopic, anthropometric, dermatoglyphic methods, statistical data processing and neural network forecasting, which are widely used in modern forensics and forensic science. The relevance and objectives of the above research methods are formulated in order to predict a person's propensity to illegal actions of varying severity.

Introduction to Statistical Data Processing.

1969 ◽  
Vol 64 (328) ◽  
pp. 1679
Author(s):  
J. Wanzer Drane ◽  
Joan S. Reisch ◽  
Theodor D. Sterling ◽  
Seymour V. Pollack
Keyword(s):  
Data Processing ◽  
Statistical Data ◽  
Statistical Data Processing
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