When our data aligns to the characteristics of normal distribution, it maintains specific properties that help us interpret results and make decisions. Respond to the following in a minimum of 175 words: Discuss a situation where you can collect data, and the data the Empirical Rule applies, meaning that the data representing this situation follows a normal distribution. You are encouraged to conduct research using the internet to discover a situation that fits this criteria. Citing your source, discuss what specifically leads you to believe this situation follows the Empirical Rule. What statistical analysis benefits exist because the situation has data that is distributed normally?

I work in manufacturing, where data can be collected on nearly every action and activity. For this example I'll choose the most common data set which is ToA, or Time on Activity. This is the effective time it takes an individual to complete an action. These data sets have a control, the theoretical time, and a variable that our Empirical Rule will follow, which is actual time. When these data sets are collected, we will track the time several individuals will take to do the task on a large amount of points. For this example, we're tracking 10 employees doing one action 100 times. We know the theoretical time it takes a person to complete an action from math an engineer did that's beyond my scope. This is our baseline that individuals should be pacing themselves around. Now after taking these 1000 points we'll see the rule apply in the form of, competency of the task at hand (some people are naturally faster and slower than others), as well as time of day. You'll see a bell shape between breaks as it takes people time to get back up to speed and slow down as they get closer to the next one.

what would be a good response to the above?