Overview Now that you have explored how businesses use data in the real world, you can pause for a moment and think about what you are learning. In this self-reflection, you will consider fairness and data use in three example business cases and respond to brief questions with your thoughts. This self-reflection will help you develop insights into your own learning and prepare you to apply your knowledge of fairness practices to scenarios that represent real-life business case studies. As you answer questionsand come up with questions of your ownyou will consider concepts, practices, and principles to help refine your understanding and reinforce your learning. Youve done the hard work, so make sure to get the most out of it: This reflection will help your knowledge stick! Case Study #1 To improve the effectiveness of its teaching staff, the administration of a high school offered the opportunity for all teachers to participate in a workshop. They were not required to attend; instead, the administration encouraged teachers to sign up. Of the 43 teachers on staff, 19 chose to take the workshop. At the end of the academic year, the administration collected data on teacher performance for all teachers on staff. The data was collected via student survey. In the survey, students were asked to rank each teacher's effectiveness on a scale of 1 (very poor) to 6 (very good). The administration compared data on teachers who attended the workshop to data on teachers who did not. The comparison revealed that teachers who attended the workshop had an average score of 4.95, while teachers who did not attend had an average score of 4.22. The administration concluded that the workshop was a success. Reflection Consider this scenario: What are the examples of fair or unfair practices? How could a data analyst correct the unfair practices? Now, write 2-3 sentences (40-60 words) in response to each of these questions.