Create a data set based on their observations of a real-life phenomenon

Create a data set based on their observations of a real-life phenomenon. Some examples include minutes played by each athlete during a sports game, age of Canadian astronauts, weights of food in your house, daily temperatures over a certain period, etc. Conduct descriptive statistics and visualize their data set using contemporary statistical software. Write a 1–2-page summary of their data collection, statistical methods and findings, outlining:

• Minimum 50 measurements/observations included in the data set*
• How data was collected (included specific details to someone else could reproduce your collection method, including website links)
• The type of data collected (level of measurement and sampling strategy)
• Descriptive statistics (mean, median, mode, standard deviation, and interquartile range)
• Approved visualization of the data (via a figure)
• Figure description
• Interpretation of findings
• Upload data in table format and statistical output from excel or Spss

File format: Max 2 pages summary report (not including statistical output)

1-inch margins, 1.5 spaced

Times New Roman font, size 12

APA reference formatting

Submission files:

LastName_FirstName_ObservingData_Summary (.pdf)

LastName_FirstName_ObservingData_CollectedData (.xlsx)

LastName_FirstName_ObservingData_StatisticalOutput (.pdf)