Statistics Portfolio

Regression analysis on US government spending, from 1950 to 2010: 

us_gov_spending_1950_1975_2010_2020.xls

ANOVA (Analysis of Variance) practice, December 2010: 

A fictitious wind turbine company wants to know which of the 3 types of wind turbine ("50kW Horizontal Axis," "50kW Blender Vertical Axis,"  and  "50kW Helix Vertical Axis" turbines) produce more kWh/day.  Thus I use ANOVA (one using "One-Way Between-Group ANOVA" and another use "One-Way Repeated Measures ANOVA") to test to determine if the population means (in kWh/day) are significantly different among the 3 groups.  The end result shows one type of 50kW turbine could be more efficient than the other 2 turbines types.  Here is the Excel file: ANOVA_windturbine_Hypothetical.xls

Macy’s Customer Statistics, SJSU, Spring 2007

Worked in a team of two, to determine on average if women spend more than men while shopping at Macy’s.  Successfully interviewed 30 customers to retrieve sample data, used R (an open source statistics software) to analyze the sample data, and documented the process and results into a 7-page report. The team concluded that the true average amount spent by women in Macy is not significantly different from that of men, which could argue against the stereotype that an average woman spends far more money than an average man in a department store such as Macy.  Received “A” for the project.  Here is the 7-page project report: Report_Macy.doc