Answer: 1. Deliverables
2. Objectives
Explanation: A deliverable is a project management term that describes tangible or intangible goods or services that are produced from the project, with the intention of being delivered to a consumer.
An objective in this context is a goal that an enterprise aspires towards achieving.
In every enterprise each section is tasked with producing outputs within each department, and deliver to customers. The intention is to of achieve the overall objectives set by the enterprise. Functions are designed to operate cohesively, with the aim of achieving these 2 aspects and ensuring that the enterprise runs smoothly and generates the best possible outcome.
Explanation:
To find the probability that the sample which fails to meet the required weight or the standard weight of the marshmallows having banana flavor if the process of production is working, such that probability for the weekly sample leads to shutdown of the production if the process of the production is running properly of 1 % of the probability that at least five boxes out of the twenty five sample fails to meet the standard weight which is less than one percent that is 
We know that for p = 0.8, 
Now using binomial simulation, we can determine that
for p = 0.0452
So the production process is to be redesigned for reducing the percentage of boxes of the Go Bananas of 16 ounces which failed to meet the required weight of the marshmallows having banana flavor if the production process is working properly to 5.42 percent.
Answer:
They should operate Mine 1 for 1 hour and Mine 2 for 3 hours to meet the contractual obligations and minimize cost.
Explanation:
The formulation of the linear programming is:
Objective function:

Restrictions:
- High-grade ore: 
- Medium-grade ore: 
- Low-grade ore: 
- No negative hours: 
We start graphing the restrictions in a M1-M2 plane.
In the figure attached, we have the feasible region, where all the restrictions are validated, and the four points of intersection of 2 restrictions.
In one of this four points lies the minimum cost.
Graphically, we can graph the cost function over this feasible region, with different cost levels. When the line cost intersects one of the four points with the lowest level of cost, this is the optimum combination.
(NOTE: it is best to start with a low guessing of the cost and going up until it reaches one point in the feasible region).
The solution is for the point (M1=1, M2=3), with a cost of C=$680.
The cost function graph is attached.
Answer:
The correct answer would be, 10 Persons.
Explanation:
If there are 1000 people in the Big Bucks lottery and there is a 1 percent chance of winning 10 dollars prize if all 1000 people buy the lottery ticket of 10 dollars. If every person buys 10 dollar lottery ticket, then the chances of winning people would be calculated as follows:
Total number of People = 1000
Chances of winning the lottery = 1%
So How many people would win 10 dollar lottery = 1000 * 1%
= 1000 * 0.01
= 10 People.
So there are chances that 10 out of 1000 people will win the lottery.
Answer:
A. Year 2 $31,500
Year 2 $31,500
B. Year 1 = 63,000
Book Value of Tractor $252,000
Year 2 $ 50,400
Book Value of Tractor $201,600
Explanation:
a. Calculation to Determine the depreciation for each of the first two years by the straight-line method
Year 1 = $315,000 / 10
Year 1 = $31,500
Year 2 = $315,000 / 10
Year 2= $31,500
B) Calculation to determine the depreciation for each of the first two years by the double-declining-balance method
Based on the information given we are first going to calculate the percentage of depreciation using straight line method and then double it
Percentage = $ 315,000 *10%
Percentage=$31,500
Now let depreciation the book value each year by 20% Using the double-declining-balance method method
Year 1=20% of $ 315,000
Year 1= 63,000
Book Value=$315,000 - $63,000
Book Value= $ 252,000
Year 2= 20% of 252,000
Year 2 = $ 50,400
Book Value=$ 252,000 -$50,400
Book Value= $201,600