A division of applied mathematics associated with the anthology and analysis of quantitative records is termed as statistics. Statistics thesis means designing a study to analyze data in depth.
A statistics thesis may involve the application of sophisticated statistical techniques such as t-test, ANOVA, regression, chi-square and structural equation modeling (SEM) and path analysis. SPSS, AMOS 6.0, LISREL, multiple regression, factor analysis, reliability analysis (Cronbach’s alpha) and power analysis and SAS statistical packages are also used during preparing a statistics thesis. The result of the analysis has to be explained and written using proper citation method most commonly the APA style.
Appropriate graphics and tabular presentations should be created according to the style guidelines in a statistics thesis.
The scholar preparing a statistics thesis should evaluate data using selected statistical methods to obtain ample conclusions.
Here are some simple steps that would help you prepare a scoring statistics thesis:
Ø Start with choosing an interesting subject
Ø Formulate a unique thesis statement
Ø Mention your research methodology
Ø Gather important back ground information with the use of books, journals, encyclopedias and manuals as well as internet.
Ø Explain your ideas and view points
Ø Come up to a valid conclusion
Ø Discuss and argue your conclusion
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