An automotive company tests the driving capabilities of its self-driving car prototype. They carry out the tests on various types of roadways- specifically, a race track, trail track, and dirt road. The researchers only test the pro totype during the daytime. They collect two types of data: sensor data from the car during the drives and video of the drives cameras on the car. They review the data after the initial tests. The results illustrate that the new self-driving car meets the performance standards across each of the roadways, As a result, the car can progress to the next phase of testing, which will include driving in various weather conditions. Reflection
Consider this scenario: What are the examples of fair or unfair practices? How could a data analyst correct the unfair practices?