Your company, an emergency assistance organization, wishes to analyze data from a study of earthquakes around the globe to determine
Option #2: Analysis of Earthquake Research for an Emergency Assistance Organization
Your company, an emergency assistance organization, wishes to analyze data from a study of earthquakes around the globe to determine if the longitude and latitude are accurate variables to justify more emergency services in certain locations. You are tasked with developing a better understanding of the variables in the QUAKES data set. Management wants you to explore this data set to determine if the data is suitable for use in the next phase of their upcoming analytics project. You are required to conduct two analyses for this assignment. 1. Statistical Analysis · Use SAS University Edition to conduct these statistical tasks: · Summary statistics: · Use Longitude, Latitude, Depth, and Magnitude as your analysis variables. · Distribution analysis: · Use Longitude, Latitude, Depth, and Magnitude as your analysis variables.
Note:
Statistical tasks are located under Tasks and Utilities > Tasks > Statistics.
The data set can be found in Libraries > SASHELP > QUAKES.
2. Cluster Analysis · Conduct the following cluster analysis task: · Cluster variables: · Determine if Longitude and Latitude are viable candidates for cluster variables. · Limit your analysis to 10 clusters.
Hint
SAS University Edition is a software that is used for teaching and learning statistical and quantitative methods.Extensive statistical capabilities are offered. Some include Bayesian analysis, Regression, and Distribution analysis among others.Distribution analysis computes descriptive statistics for numerical variables.Summary statistics provide useful information about sample data. Measures of l...
SAS University Edition is a software that is used for teaching and learning statistical and quantitative methods. Extensive statistical capabilities are offered. Some include Bayesian analysis, Regression, and Distribution analysis among others. Distribution analysis computes descriptive statistics for numerical variables. Summary statistics provide useful information about sample data. Measures of location and measures of spread are the commonly used types of summary statistics. Cluster analysis entails grouping a set of objects in a way that objects in the same group are more similar to each other than to those in another group.