The 5 Most Useful Statistical Tools Required To Complete Your Dissertation
The success of a dissertation or research lies in the analysis and interpretations of the findings of that research. Specifically quantitative researches require certain quantification methods for the analysis of the research hypothesis shaping the outcomes of research into comprehensive numerical data and illustrations. The dissertation holds immense importance for the methodology of the research describing the research strategy, design, data collection and data analysis. Certain statistical models and calculations are used for the purpose of analysis which can be accessed by statistical tools. Statistical tools save us from the lengthy calculations and provide the results in relatively less time. They have been designed to justify and comprehensively describe the research findings into summarized numerical data.
The 5 most useful tools that every student or researcher must know to complete the dissertation as follows:
- IBM-SPSS
- Microsoft Excel
- Statsitix 10
- RevMan
- MATLAB
The important features and its applications in relative fields of research are described below.
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IBM-Statistical package for the Social Sciences (SPSS)
SPSS is a diverse software with robust features of data organization and several data modeling. It can be applicable for health researches, clinical, epidemiological studies as well as in other areas of science as well. It can also solve complex analysis of the business research, governmental statistical entities, marketing data and educational research with accuracy and decision-making ability. It further has extensions with coding software like R programming and python in order to integrate the data from open sources. The data is added in the sheets containing cells from excel sheet by direct or indirect method. It also functions with the Microsoft word to aid the data analysis. It can handle multiple variables at a time and diamantes critical data in simplified tests. The graphical illustration can also be obtained from this software like histogram, QQ plots, P plot etc. Other then data transformation and dissemination SPSS is useful in finding relationship of the variables (independent and dependent) by performing regression analysis in simple steps. The comparison of different treatments and events can be performed in the Analysis of Variance (ANOVA) and for multivariant (MANOVA). The t-test which is widely used in clinical studies is also performed in this software. This software is student friendly and can be used efficiently or with help of technician.
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Microsoft Excel
Excel worksheets also calculates certain array of single value statistical analysis. The Add-In of the Microsoft Excel tool pack provides a wide range of tools for data analysis. It has wide range of analysis for the Descriptive statistics including mean, median, average, STDEV, Mode etc. Excel also evaluates the data for ANOVA, correlation, variance, F-test, t-test, and regression for a specific data set. The data is added in the excel worksheet cells and analyzed by ‘Data analysis’ option on the work bar. However, Excel has limited functions to sample testing, as it is not suitable for multiple variables and large sample sizes. It is mostly used for recurrent data, simple descriptive calculations, graphical illustrations and algorithmic analysis. The equations are generated in the excel for the required calculations. Every student have to work with Microsoft excel for data recording, interpreting data into meaningful arrays and comparing the raw data for visualization. It can also be sued by every field of researcher for large or small sample sizes.
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Statsitix 10
Staistix 10 is an old and immensely used tool of statistical analysis. It has been preferred by many clinical researchers after stastistix 8 to analyses the variable data sets into simplified quantity. Coursework writing services office says that it has multiple functions from descriptive statistical analysis to complex analysis of variance and regression. You can also make histograms and plots including QQ plot, P plot, quality control graphs. Survival analysis for the risk of mortality rate in the clinical studies, providing the analysis of the duration of time that a certain event should take to happen is also possible with the statistics 10. Probability functions providing certain mathematical calculations are also a comprehensive feature of statistix 10. Multiple associated tests determining the variations of the data set including Chi square test, Multinominal tests and correlations. Single and multiple variables can be handled at a time in this software so it is beneficial for single and multi-sample test with providing the relationship analysis via regression analysis both linear and multiple regression analysis. T and F test are also widely used in social science and medical sciences which can be performed by the statistix 10. The data is added into the cells of the software by copying from the excel sheet and analyzed for the required tests and model by selecting the function you want to use.
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RevMan
The systemic reviews and literature analysis via metanalysis is also being frequently used by the researchers to find the research gaps and summaries the decades of researches on the different subject matters Metanalysis are common in every type of literature research. The findings of metanalysis are summarized on the basis of the weight ascribed to each publication selected in the specific research by formulating a forest graph. As, researchers considers the forest graph analysis of the risk ratio and biasness of the researchers can be accurately measured by the forest graphs. However, metanalysis research also provides a relatively unbiased literature analysis by forest graphs. Rev Man is widely used for its feature of forest analysis. Rev Man is also being sued to summaries the findings of other literature like abstracts, commentaries and non-published data in order to comprehensively hypothesize a new research question and provide authenticity of the previous researches. The data is put in the small wizard window that opens up in the software. This software can be used by any area od researcher with ease, as you have to put the data accurately the Rev Man will calculate all the required analysis for you.
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MATLAB
,MATLAB is the latest software with various functions of statistical analysis, mathematical calculations, simulation depiction, code generation and cluster analysis. This tool is a ‘must learn’ for every student and researcher as it has multiple functions and high credibility among all other tools. It also generates the flow diagrams and sheets simulating a methodology and results outcomes. Coursework writing services firm says it is considered as a computing environmental for numerical data with advanced statical performance. It can run multiple analysis at one time. Algorthmic applications are also present in MATLAB which is mainly used for engineering field. Additionally, it can also perform the statical modeling of regression analysis, hypothesis testing, descriptive statistics calculations and illustrations of the graphical representations as well. Visualization of clean and complex data sets is also an important feature of MATLAB. The specificity of MATLAB make it save data and calculations in the software itself for future use. This software generates a code for every calculation that can be used to reconduct the procedure in future. It can be sued for the researchers of every field, engineers, health scientists, social scientist, mathematicians, physicians etc.
Conclusion
The statistical analysis is a crucial part of dissertation of every field. 6 mainly used statistical tools have been described in the context which are student friendly and you must learn them to mark a good impact on your dissertation.