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Data analysis in an undergraduate dissertation: 10 key points

The data analysis in its Bachelor dissertation is often a demanding part of the work, especially if your project collects statistical information. It contains with a correct test, to be performed on your data, and creates the statistics that you have collected with special techniques and interpret your most important findings. The following main points are crucial to successfully complete this letter.

How to collect and analyze data for an undergraduate dissertation

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  1. Get a statist textbook or a dissertation writing manual to learn the theory and practical approaches that are useful for the analysis of data.
  2. Think about your topic and decide what kind of evidence you need and how to collect the sufficient amount of information for further analysis.
  3. In consideration, consider the zero hypothesis, taking into account the alternatives, contact your academic consultant if you have doubts and determine how many data of different kinds need to collect.
  4. Remember that the research hypothesis you specify the design of your study, z. They analyze variables to predict something to determine the differences and similarities between subjects or explore relationships between the samples.
  5. Collect more information than less so that you can test more evidence and get meaningful findings.
  6. Prepare data for the analysis phase while listening. This helps you to save a good part of the time later as your records and ongoing statistical tests takes more and more time than to interpret what you get.
  7. Use special computer software to describe the data selection, build diagrams, and DO regressive analysis when suitable.
  8. shows the restrictions and exceptions that apply to your record, e.g. Why some records are missing why they have done assumptions, and what additional information they had to collect to complete their analysis.
  9. Organize your data in tables and graphics, select the most interesting patterns and explain what the different numbers and figures mean.
  10. Write your results in a format so that you could answer your research questions.

What should include in your data analysis area

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  • A short overview of the purpose of the study, research methods and approaches and data collection techniques.
  • references to the records that are used with proper quotations.
  • a detailed description of your hypothesis and questions.
  • The tables with organized numbers and explanations for qualitative, mathematical and statistical analysis.
  • a conclusion for each point you provide, including the realization you draw from the analysis.
  • a comprehensive summary that provides an overview of the section.

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