The best choice would be Choose Make-to-Order Process.
Option b
<u>Explanation:</u>
Make to order (MTO) also known as made to order, is a type of business production strategy which allows the customers to buy the products that are designed or customised based on their own specifications.
In simpler words, this process involves the production of customised goods after the consent of the consumers.
Here it has been mentioned that the demand is 10,000 units per month and the capacity of the company production is 15,000 units. So, it can be inferred that the company would have enough time to produce the goods based on the desirability of the customers. (customised products).
Therefore, the best choice would be Choose make-to-order process.
Answer:
$2,639.83
Explanation:
The value expected in the next 10 years is known as the future value while the amount to be invested today is the present value amount, hence, using the formula below which relates the present value to the future value, we can determine the present value as appropriate:
PV=FV/(1+r)^n
PV=present value=the unknown
FV=future value=$4,300
r=rate of return=5%
n=number of years that investment would last =10
PV=$4,300/(1+5%)^10
PV=$4,300/1.05^10
PV=$4,300/1.62889463
PV=$2,639.83
Answer: $1,458.90
Explanation:
As they are filing together, the first step would be to find out the taxable income after accounting for Ruth's loss.
Total taxable income = Otto's earnings - Ruth's loss
= 435,200 - 23,100
= $412,100
There is an additional 0.9% Medicare tax on the amount that people file that is above $250,000 when they file jointly and are married..
The additional Medicare will be:
= (412,100 - 250,000) * 0.9%
= $1,458.90
The answer to the blank space is conclusions.
Inferential statistics differ from descriptive statistics not just in the level of complexity of statistical methods, but also their use. Inferential statistics are commonly used to draw inferences from the dataset – relationships and comparisons between the datasets are often the goal in using inferential statistics. Descriptive statistics, just like how the name implies, describes the dataset – what’s the average, the midpoint, the highest number.
