Answer:
The explanation is for 10 inputs though. You'd have to follow these steps to find input 50 numbers.
Explanation:
This is how I wrote it in the Plain English programming language which looks like pseudo-code but compiles and runs (to save you all the rest of the steps):
To run:
Start up.
Write "Enter 10 numbers separated by spaces: " on the console.
Read a reply from the console.
Loop.
If the reply is blank, break.
Get a number from the reply.
Add 1 to a count.
Add the number to a total.
Repeat.
Write "The total is: " then the total on the console.
Put the total divided by the count into an average.
Write "The average is: " then the average on the console.
Refresh the screen.
Wait for the escape key.
Shut down.
Answer:
- Divide the resources into three parts using the corresponding process 1, process 1, and process 2 formats to maximize the use of the resources.
- Get the expected revenue by calculating the product of the total perfume in ounce and the price of an ounce of perfume.
- Increase the advertisement hours of the product.
- subtract the advert fee from the generated revenue to get the actual revenue.
- subtract the cost of production from the actual revenue to get the actual profit.
Explanation:
The get maximum profit, all the resources must be exhausted in production. The labor is divided into a ratio of 1:1:2 ( which is 5000, 5000, 1000), while the chemical units are in the ratio of 2:2:3 (10000,10000,15000). This would produce in each individual processes; 15000, 15000 and 25000 oz, which is a total of 55000 oz of perfume.
The expected revenue is $275000. If 1000oz from the 55000oz of perfume is sold without advertisement, model Jenny's awareness of the perfume increases the demand by 200oz per hour, therefore, 24hours would field 4800oz demanded, which would only take 270 hours to distribute all remaining perfumes.
The cost of production would be $130000 for labor and chemical resources plus the advert cost of $27000 ( 270 hours by 100) which is a total cost of $157000. The actual profit is $118000 ( $275000 - $157000).
The real-valued function whose value is to be either minimized or maximized subject to the constraints defined on the given LPP over the set of feasible solutions. The objective function of a LPP is a linear function of the form z = ax + by.
Explanation:
Simplify the Boolean expression (AB(C + BD) + AB]CD.
