Answer:
in food they provide day-to-day nutrients that the body needs in order to function
Explanation:
<span>spending will increase:
consumption by $80 billion.</span>
Answer:
It is a very critical factor for companies to comply with what the Occupational Risk Prevention law says. Companies are responsible for achieving a safe work environment, and all the sanctions will fall on them if they fail to comply with appropriate security measures, such as an economic, criminal or civil sanction, depending on each situation
Explanation:
The Law on Occupational Risk Prevention aims to guarantee safety and health in the workplace, by complying with certain labor measures. The worker can have a civil responsibility in case of not acting correctly, and will have to answer for it legally if it causes damage to third parties. However, it is finally the company that must respond even when workers cease to comply with their safety obligations.
A good prevention reduces the risk of endangering the integrity of workers. On the other hand, there are various sanctions against companies that do not comply with these measures, the most important is the economic damage, which should be avoided. In more serious cases, criminal or civil liability could also exist, but it would depend on the situation
Answer:
t = 4.607742347 years rounded off to 4.61 years
Explanation:
To calculate the number of years it will take an investment of $3500 to grow to $5900 at an annual interest rate of 12%, we will use the formula for the future value of cash flows. The formula can be written as follows,
Future value = Present value * (1+i)^t
Where,
- i is the interest rate
- t is the time in years
Plugging in the values for future value, present value and i, we can calculate the t to be,
5900 = 3500 * (1+0.12)^t
5900 / 3500 = (1.12)^t
1.685714286 = 1.12^t
Taking log on both sides.
Ln(1.685714286) / Ln(1.12) = t
t = 4.607742347 years rounded off to 4.61 years
Answer:
True
Explanation:
Statistical process control (SPC) is a method of quality control which employs statistical methods to monitor and control a process. This helps to ensure that the process operates efficiently, producing more specification-conforming products with less waste (rework or scrap).
By implementing statistical process control, the goal of eliminating or greatly reducing costly product recalls is realized. This is done by analyzing manufacturing data as it happens so that problems are stopped as they happen—instead of being caught after deployment.
The aim of Statistical Process Control (SPC) is to establish a controlled manufacturing process by the use of statistical techniques to reduce process variation. A decrease in variation will lead to: better quality; lower costs (waste, scrap, rework, claims, etc.).
