Pregunta
A student asks if the precision with which manufacturers must calibrate their tools is at all related to statistics. How do
you respond?
Choose the correct answer below.
A. No, the precision with which manufacturers must calibrate their tools is not related to statistics, since there are
small allowances for error.
B. Yes, the manufacturer should be able to ensure with some degree of accuracy that the product is the same all
the time. In order to do that, tools should be calibrated with small allowances for error.
C. Yes, the manufacturer should be able to manufacture the same exact product every time.
D. No, the precision with shich manufacturers must calibrate their tools is not related to statistics, since products
should be made exactly the same every time.
you respond?
Choose the correct answer below.
A. No, the precision with which manufacturers must calibrate their tools is not related to statistics, since there are
small allowances for error.
B. Yes, the manufacturer should be able to ensure with some degree of accuracy that the product is the same all
the time. In order to do that, tools should be calibrated with small allowances for error.
C. Yes, the manufacturer should be able to manufacture the same exact product every time.
D. No, the precision with shich manufacturers must calibrate their tools is not related to statistics, since products
should be made exactly the same every time.
Ask by Parry Nichols. in the United States
Mar 25,2025
Solución de inteligencia artificial de Upstudy
Respuesta verificada por el tutor
Responder
The answer is B: Yes, manufacturers need to ensure product consistency by calibrating tools with small error allowances, which involves using statistical methods to control variability.
Solución
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Como
Beyond the Answer
Let’s dive into some interesting information!
In the world of manufacturing, statistical process control plays a pivotal role. It allows manufacturers to monitor and control the production process, ensuring that variations are kept within acceptable limits. By employing statistics, manufacturers can make data-driven decisions that help maintain product quality while minimizing waste and costs.
In terms of real-world application, think about how statistical methods are employed in quality assurance. For example, manufacturers often use sampling techniques to evaluate the precision of their tools and products. Instead of testing every single item, they randomly select samples for testing, which saves time and resources while still providing accurate insights into the product’s overall quality!
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