Apple, interested in learning about the effect of firm types on performance, approached our team. Apple sought to understand the underlying factors contributing to performance and identify potential areas.
To tackle this problem, we had access to a substantial dataset primarily consisting of survey data. The data comprised demographic information related to 9,000 firms, and the study spanned six years. This rich dataset served as the foundation for our analysis, providing valuable insights into the characteristics of the firms under investigation.
The hypothesis was as follows: H1 – There is a significant difference in performance based on firm type over time. We aimed to test the hypothesis rigorously and determine whether firm type indeed played an important role in influencing performance outcomes.
We conducted a mixed Analysis of Variance (ANOVA) using the statistical software Stata to analyze the data and evaluate our hypothesis. A mixed ANOVA was chosen as the appropriate analytical method because it allowed us to compare the means of performance across multiple categories of firm types over time, thus helping us identify any statistically significant differences.
Our findings from the mixed ANOVA analysis were pivotal in shedding […]