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Summarize the data. For example, make a pie chart. Find key measures of location. Calculate measures of spread: these tell you if your data is tightly clustered or more spread out. Make future predictions based on past behavior. Test an experiment's hypothesis.
Anatomy of a statistical analysis section Begin by stating what kinds of data do you have, categorical or numerical. Then explain how you expressed those data. For example: 'Weights of widgets were expressed as means ± standard deviation. Categorical data (widget class) were expressed as frequencies'.
Show the most relevant information in graphs, figures, and tables. Include data that may be in the form of pictures, artifacts, notes, and interviews. Clarify unclear points. Present results with a short discussion explaining them at the end. Include the negative results.
The Results section should include the findings of your study and ONLY the findings of your study. The findings include: Data presented in tables, charts, graphs, and other figures (maybe placed among research text or on a separate page) A contextual analysis of this data explaining its meaning in sentence form.
In Data Analysis: Applying any statistical method like regression or calculating a mean to data. In Factor Analysis: Any combination of factor levels is called a treatment. In a Thesis or Experiment: A statistical treatment is a summary of the procedure, including statistical methods used.
IDENTIFY THE VARIABLES YOU HAVE AVAILABLE. GENERATE A HYPOTHESIS. RUN DESCRIPTIVE STATISTICS. PUT TOGETHER YOUR FIRST TABLE.
Present your results. Report the specific findings of your research or experiment. This section of your report should be facts only, without any analysis or discussion of what those facts might mean. Start with your main results, then include subsidiary results or interesting facts or trends you discovered.
Collect (Produce Data): design and implement a plan to collect appropriate data. Data can be collected through numerous methods, such as observations, interviews, questionnaires, databases, samplings or experimentation. 3. Process (Analyze the Data): organize and summarize the data by graphical or numerical methods.

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