Field-specific examples:

• Healthcare: Stress test score and blood pressure reading, cigarettes smoked per day, and lung cancer mortality
• Criminal Justice: Incidents at a traffic intersection each year
• Business: Mean school spending and socio-economic level
• Electronics Engineering Technology: Machine setting and energy consumption
• Computer Information Systems: Time of day and internet speeds

outline the following details:

• Sampling: A careful description of how the sample was obtained. Be very specific! Include sample sizes, the population of interest, and a description of the sample. Also, include a copy of the survey if you used one.
• Select a topic with a numeric variable (these are numbers that can be meaningfully used to create summary statistics). You are encouraged to look at sports data, real estate data, and criminal statistic data.
• Find ACTUAL data (see links below to help you look). Include your formal references to the data you have decided to use.
• Ensure that you have a sample size of 20 (MINIMUM) as 30 would be preferred. It can be larger and that's great, but 20 is the minimum.
• Descriptive Statistics: Any descriptive statistics relevant to your project should be included.
  • You are required to give the mean, mode, median, and standard deviation of your data set. You may include other calculations if they support your work.
  • At least two graphs (such as box plots, scatter plots, stem-and-leaf, histograms, etc.) should be part of your project. The graphs can be a way to summarize descriptive statistics.
• Hypothesis:
  • From your data, what do you expect to see/happen?
  • What are you hoping to learn?