Presentation Template

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STAT 3120Statistical Methods I

• Presentation Template

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Data Analysis Project

• Overview of dataset
• Descriptive statistics
• Description of Sample
• Non-Parametric Results
• Ttest Results (if possible)
• Conclusions

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Overview of dataset

• Provide a few key points here regarding your
  data
• Show the dataset
• Provide the source
• Why did you find it interesting
• Explain the variables

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Descriptive Statistics

• For the quantitative variables, provide
• measurements of central tendency
• measurements of variability
• discuss/highlight any outliers
• provide histograms/scatterplots as appropriate

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Descriptive Statistics

• For the qualitative variables, provide
• bar charts/column charts
• stacked bar/column charts
• contingency tables as appropriate

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Descriptive Statistics

• For all of your graphics, provide a tag line
  that highlights the main point.
• Ensure that on all of your graphics, you include
  a n footnote and a source footnote.

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Sample Description

• Take a random sample of size 20.
• Provide a table comparing the sample to the
  population dataset.
• Be prepared to highlight any differencesand
  explain why they might exist.

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Inferential Statistics

• Develop a hypothesis statement (and the null) for
  testing.
• Provide your declaration of alpha (and why), the
  2x2 matrix for testing, explanation of Type 1 and
  Type 2 errors.

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Inferential Statistics

• Execute the non-parametric test (most likely the
  Wilcoxon Rank Sum test)
• Provide the results
• Provide the power of the test
• Provide your conclusion.

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Inferential Statistics

• If possible, using the larger dataset, perform a
  ttest, following the same instructions as
  provided for a non-parametric test.

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Conclusions

• Provide any additional information/learnings/comme
  nts on your analysis or on your dataset.

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STOP
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Support Slides

• Include the messy statistical stuff in these
  slidesyou would never present these proactively,
  but should have them to answer esoteric questions
  regarding things like p-values, normality, etc.