Answer:
So that you can collect the number of data that you need according to the optimization of costs using the most positive data from the past, I suggest you make a control chart which is done as follows:
They are made using a coordinate system, whose horizontal axis indicates the time the data is framed, while the vertical axis serves as a scale to transcribe the measurement made. Measurement points are joined by straight lines. To plot the control chart, set the limits plus / minus the previously set tolerance values for the process being measured.
1. Control chart for fraction of nonconforming units (p) - p is the percentage of nonconforming units found in the controlled sample.
2. Control chart for number of nonconforming units (np) - It is equivalent to the previous chart, but applicable only if all the samples are the same size (n). - np = number of nonconforming units.
3. Control chart of nonconformities per unit (u) - It is used when several independent nonconformities (defects) can appear in the same unit of product or service, examples: assembly of complex components such as televisions, computers or provision of services with multiple points of contact with the client. - u = number of nonconformities of a unit.
4. Chart of control of number of nonconformities (c) - It is equivalent to the previous chart, but applicable only if all the samples are of the same size (n). - This graph is also used when the nonconformities are dispersed in a more or less continuous flow of product. - c = number of nonconformities.
Just from the position of cartridge cases and bullets, it is possible to deduce what kind of firearm was used in the crime (for instance: whether it was a small pistol or a larger weapon such as a rifle), the shooter's possible position (the place where the firearm was being fired during the crime), and the shots' trajectory (if the bullets have penetrated any surface or object before hitting its targets or stopping).
W.E.B. Du Bois was born in Massachusetts in 1868. ... Du Bois briefly taught at a college in Ohio before he became the director of a major study on the social conditions of blacks in Philadelphia. He concluded from his research that white discrimination was the main reason that kept African Americans from good-paying jobs.
