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Having a hard time finding good sources? This bivariate analysis technique measures how two metric variables relate linearly in a population. Since its applicable in many types of data sets, many scholars use it in their research projects and theses for quantitative data analysis. Most data analysis and research questions major on regression, ANOVA, correlation, t-tests and other parametric tests.
However, we are familiar and able to help with non-parametric tests like the Wilcoxon test , Mann-Whitney U tests and Spearman rank tests to interpret results. When we say that we are familiar with data analysis, research, management, and processing we mean to say that the experts we have hired know the procedures followed in explaining, illustrating, interpreting and assessing the data at hand.
For GIS or spatial data computation , mapping, simulations or analysis we have many years of experience that you can rely on. Our GIS data analysis experts are familiar with software that is necessary for geospatial data processing and interpretation.
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Data Analysis Help We offer help with statistical as well as geographical or spatial data research, analysis and interpretation. How can we help you? Most Common Statistical Tests. T-test Many students working on their dissertations and choose to use quantitative data analysis happen to use this hypothesis test in the analysis of their data and results. Regression This among the most commonly used analytical tests by statisticians. Z-tests When the sample size of your research project is large and you aim to know how different the population means are, a Z-test is the best hypothetical test to use.
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