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Several questions about your study must be answered to select the correct statistics for your dissertation or thesis. What kind of data were collected? Insert the data to a Gaussian or what is called "normal" distribution (Bell-shaped curve)? Which questions which kinds of comparisons will make you in your dissertation or in the study?
Decisions based on these answers based on these responses will help to choose the appropriate statistical tests required to analyze their data. A decision that must be made to use parametric or non-parametric tests. If your data is scanned from a Gaussian distribution, parametric statistical tests such as the commonly used T-test and the analysis of the variance (ANOVA) can be used. If the data you collected are supplied in the form of categories or rankings, non-parametric statistical tests such as the Chi-Square, Man-Whitney or Kruskal Valais test can be used.
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Another important question that directs their choice of the statistical test depends on the types of questions that they answer with their dissertation or dissertation. You probably start with a basic description of your data. What are the average or middle values ??of your distributions; What was the area of ??values, mode and spreading scores in the standard deviation?
Next, how many independent variables are manipulated in the study? How many dependent variables were measurements or data for which he were collected? This will help clarify what kind of comparisons you create: Compare a group of scores to a hypothetical evaluation; two groups of scores; Or three or more? Are you looking for how the results are related to each other? Are you trying to predict predictions in your study? These answers help you to determine exactly which parametric or non-parametric statistical test is best suited for your dissertation or thesis.
Sometimes these problems may not be so clear. For example, if your data is unusually distributed, exceptions may be present from the tests used. While this process can appear more complex, it is not impossible. Contact one of our dissertation statistics consultant for further help with the analysis of data and review your research design.
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