For research scholars, thesis or dissertation or manuscript writing consists of the theoretical description of the project which has different phases in which the main phase is analysis phase where it consists of statistical tests. The most important statistical tests for the research scholars are purely based on what type of data they prefer under which resource. The basic statistical tests are been inbuilt in trending software’s where the advanced tests have to be imported

Hope you are in the ride of a Ph.D journey, that’s great! Have you confused at any point of your research? Yes, means I think probably at the point of data collection technique. In data collection process, you may get confused to differentiate survey and questionnaire. Am I right? Let see why this confusion is? Many people think that both survey and questionnaire is for collecting data. Yes, of course, it is correct but slight core difference exists between questionnaire and

Advantages of SPSS: A good range of methodologies with relative ease of use The data management design allows one to deal with large data –sets and is calibrated to fit very well with marketing research User-friendly interface with dialog boxes A syntax editor allows one to save sequences of commands for repetitive tasks Probably the most accessible software for those with a limited background in statistics Issues in SPSS: Reduced control on options for some methodologies (“b

SPSS statistics is a software package used for logical batched and non-batched statistical analysis. This software is one of the most popular statistical packages which can perform highly complex data manipulation and analysis with simple instructions. SPSS can take data from almost any type of file and use them to generate tabulated reports, charts and plots of distributions and trends, descriptive statistics and conduct complex statistical analyses. This packages of program

There are many advantages of non-parametric methods over parametric ones. The advantages can precisely be delineated as under: Any inference based on the parametric analysis which does not uphold the underlying assumptions necessitated for it will be erroeneous.In such a situation non-parametric methods can safely be applied If the measurement scale of data is nominal or ordinal, non-parametric methods can be used In case the measurement are not so accurate as to apply parame