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Dissertation data analysis help

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ELK Education Consultants Pvt Ltd.Statistics Consultation methodology: …

ELK Education Consultants Pvt Ltd.Statistics Consultation methodology:
Submit your requirements,Receive a quote, Process payment,Interpretation reports,Consulting




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  • 1. Known for Precise andImpartial approach
  • 2. Statistics Consultation methodology: Submit your requirements Receive a quote Process payment Interpretation reports Consulting
  • 3. We perform following type of data analysis: Quantitative data analysis Qualitative data analysis Statistical data analysis
  • 4. Most popular tools and techniques: Regression as well as correlation analysis Time series as well as index number Hypothesis testing Chi Square Test Z test T test ANOVA or even at times MANOVA Mann Whitney Test
  • 5.  Qualitative data analysis Interpretation of data analysis Significance of the findings Parametric statistical tests Non parametric statistical tests Descriptive Statistics Inferential Statistics
  • 6. We follow these steps: Identification of the type of data Assessment of the objective of the study Zeroing on the exact tests that need to be formed Analyses of the results of the tests as well as interpreting the same
  • 7. Statistician for Dissertation work on following areas : Regression as well as correlation analysis Time series as well as index number Hypothesis testing Chi Square Test Z test T test ANOVA or even at times MANOVA Mann Whitney Test
  • 8. Features of thesis statistics: In depth research design Sample size determination Justification of Research methods undertaken in research design or even sample size chosen Various statistical tests – both descriptive as well as inferential statistics Both parametric as well as non-parametric statistical tests under Data Analysis Formulation of methods of data collection Justification of data collection methods Interpretation of the tests as well as of the answers they yield
  • 9. Some of the leading benefits are: Inclination towards quantitative techniques Data Analysis using E-views Better way of justification of any aspect of the study Established frameworks to abide by Interpretation of data becomes much easier and channelized Accepted by academic fraternity all over the world

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