This document outlines the statistics consultation services provided, including quantitative and qualitative data analysis, popular statistical tools and techniques like regression and hypothesis testing, and the process of identifying appropriate tests and interpreting results. Key steps include submitting requirements, receiving a quote, payment, and interpretation reports. Statistical analysis is offered for dissertations and theses work, focusing on research design, sample size determination, and justifying methods.
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.
6. Qualitative data analysis
Interpretation of data analysis
Significance of the findings
Parametric statistical tests
Non parametric statistical tests
Descriptive Statistics
Inferential Statistics
7. 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
8. 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
9. 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
10.
11. 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