Data Mining and Statistics: A Comparison of Data Analysis Techniques

Location

CSU

Student's Major

Computer Information Science

Student's College

Science, Engineering and Technology

Mentor's Name

Ann Quade

Mentor's Department

Computer Information Science

Mentor's College

Science, Engineering and Technology

Second Mentor's Department

College of Science, Engineering and Technology

Second Mentor's College

Science, Engineering and Technology

Description

Data mining offers researchers a methodology to sort through large quantities of data to identify pattems, trends, relationships, and information. I shall present an in depth analysis of a data set using the data mining process and contrast the results to a traditional statistical analysis of the same data set. Data for the data set was obtained from over 200 students who were enrolled last fall semester in the first three courses required for the computer science major. I will be examining the similarities and the differences between men and women in computer-related attitudes and self-efficacy (confidence) towards pursuing a degree in computer science.

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Data Mining and Statistics: A Comparison of Data Analysis Techniques

CSU

Data mining offers researchers a methodology to sort through large quantities of data to identify pattems, trends, relationships, and information. I shall present an in depth analysis of a data set using the data mining process and contrast the results to a traditional statistical analysis of the same data set. Data for the data set was obtained from over 200 students who were enrolled last fall semester in the first three courses required for the computer science major. I will be examining the similarities and the differences between men and women in computer-related attitudes and self-efficacy (confidence) towards pursuing a degree in computer science.