Statistical analysis methods

 What is the significance of statistical analysis methods? 

The significance of statistical analysis methods is that it helps the researcher to study large statistical samples. In addition, statistical analysis methods are the ideal solution for all sciences. Thus, the researchers used the statistical analysis methods to analyze their data and produce results. Statistical analysis methods also help to show accurate results.

The methods of statistical analysis play a big role in helping the researcher to control the research and keep away from dispersion and loss in case the study sample is large. Furthermore, statistical analysis methods create useful information by linking information in order to obtain meaningful and relevant meaning for scientific research.

It is worth mentioning that there are many commercial companies that follow the methods of statistical analysis frequently in order to study the society in which you intend to invest. Statistical analysis methods provide information about this community as quickly and as little effort as possible to make quick decisions.

 The use of statistical analysis tools 

Statistical analysis has benefited from the great technological development of the world. There have been a number of statistical analysis tools. Statistical analysis tools help researchers to do statistical analysis of their scientific research, and get logical and accurate results. The tools of statistical analysis need researchers to have a great experience in the field of work on them in order to be able to conduct statistical analysis of scientific research which is logical and systematic. The wrong use of statistical analysis tools may lead the researcher getting the wrong result of his scientific research.

 The programs of statistical data analysis techniques 

The most important programs offered by statistical data analysis techniques:

With the advent of computer technology, a number of statistical analysis programs have emerged. The following will provide an overview of each of the statistical data analysis techniques:

The first the statistical data analysis technique is SPSS:

The program means statistical packages for the analysis of social sciences. This program of statistical data analysis techniques is the leader in statistical analysis and the most used. This program of statistical data analysis techniques appeared in 1968. The main objective of the program of statistical data analysis techniques was to analyze data in the social sciences. In 2009 the US company IMB purchased this software and then changed its name to IMB SPSS Statistics.

The second the statistical data analysis technique is SAS Statistical Analysis Program:

It is one of the most important programs of statistical data analysis techniques, designed by Prof. James Goodnight and John Soul, for use at the US Department of Agriculture. After this program of statistical data analysis techniques proved to be of great importance in statistical analysis, they created the SAS (The Statistical Analysis System).

The third the statistical data analysis technique is EVIEWE Statistical Analysis Program:

It is the most widely used program of statistical data analysis techniques among economists and the first in the economy. This program of statistical data analysis techniques helps provide information on economic decline, and companies begin to develop solutions to address it. This program of statistical data analysis techniques has a special protection system where the person must register their identity on the network in order to be able to access this program. The company designed to improve this program continuously, through the issuance of new updates. The researcher can access the company website and download the update of this program of statistical data analysis techniques for free.

The fourth the statistical data analysis technique is MINITAB Program:

This is one of the most important programs of statistical data analysis techniques for beginners in the field of statistical analysis, because of its simplicity and ease of work. In addition to statistical analysis, this program of statistical data analysis techniques analyzes the results that appear, and then interprets them. Before researchers start doing statistical analysis using this software, they need to master the work on it in order to avoid making mistakes.

 What is statistical data analysis in research? 

Statistical data analysis in research is defined as a process by which the data related to scientific research are prepared and processed in order to analyze these data and study them and then extract the results from them. Statistical data analysis in research is carried out through a number of mathematical and logical methods.

Statistical data analysis in research is defined as a process by which the characteristics and features of a society are explained and the characteristics that distinguish it from other societies. The researcher reaches these qualities of the statistical data by studying the community by taking a sample of it to be studied, and disseminating its results to the study population. Also, the science of statistics is not a recent science, but this science dates back to ancient times, the Greeks knew this science.

 What are the problems of statistical data analysis in research methodology? 

Researchers may face a number of problems while conducting statistical data analysis in research methodology. The reason for these problems of statistical data analysis in research methodology is that researchers do not have the expertise and skills in statistical data analysis in research methodology. The researchers' lack of knowledge of statistical aspects will lead to a number of problems of statistical data analysis in research methodology. Some of the main problems that researchers face in conducting statistical data analysis in research methodology:

• Comprehensive inventory problem: This problem occurs when researchers study all members of the study population without excluding any individual. Many researchers make the mistake of using a heuristic rather than a descriptive approach, because the descriptive approach is the appropriate approach for these studies.
• Falling in error during the selection of statistical scale: The main reason for the occurrence of researchers in this error is the lack of knowledge and knowledge of all statistical metrics.
• Problems related to the study of the study sample: This is a large number of researchers who use statistical data analysis in research methodology. The scientific method avoids the researchers making the mistake of using the heuristic method instead of the descriptive method.
• Wrong use of the research tool Questionnaire: The questionnaire is one of the most prominent tools used by researchers in statistical data analysis in research methodology, because of its ease of use, and low-cost material. If the researchers mistakenly use the questionnaire in statistical data analysis in research methodology and do not have sufficient experience in using it, there will be a number of errors in the results of the research methodology. Then they are subjected to a measure of honesty.

With greetings: Al - Manara Consulting to help researchers and graduate students