Answer:
PESTEL factors that are most salient for the electric vehicle segment of the car industry are economical, technological, and ecological.
PESTEL factors that are most salient for the battery industry are technological, social and economic
Explanation:
PESTEL factors that are most salient for the electric vehicle segment of the car industry are economical, technological, and ecological.
PESTEL factors that are most salient for the battery industry are technological, social and economic.
Electric cars would be economic as compared to gas and other forms of energy used to run a car or any other vehicle.
Answer:
12
Explanation:
Given that,
Sales price = $9 million
Estimated annual gross income = $750,000
The gross income multiplier is defined as the ratio of sales price to its effective gross income.
Therefore, the gross income multiplier is calculated as follows:
= (Sales price ÷ Estimated annual gross income)
= $9,000,000 ÷ $750,000
= 12
The correct answer is 2.2 hours.
I<span>f Eva uses the earliest due date priority rule, the order of the dresses will be as follows: W (1 hour processing time, 1 hour due); Y (2 hrs processing time, 3 hrs due); V (3 hrs processing time, 5 hrs due); Z (5 hrs processing time, 7 hrs due); X (4 hrs processing time, 9 hrs due).</span>
It's easier to do the next step using real numbers. For example, if it's 11am now and W is due in 1 hour, then W is due at noon. If Y is due in 3 hours, then Y is due at 2pm, etc. Then, you need to use the processing time to see how long it will take to make the dresses. For example, since W takes one hour to process, it will be done by noon, its due date.
This means that W and Y will be altered on time, V will be 1 hour late, Z will be 4 hours late, and X will be 6 hours late. To find the average tardiness, add these extra hours (1+4+6) = 11, and divide by the total number of dresses (even the ones that weren't late) 5: 11/5 = 2.2 hours.
Answer:
E) none of the above
12.70% and 2.49% standard deviation
Explanation:
We multiply probability by the outcome to get the weighted amount, we add them and get the expected return.
probability outcome weighted
0.25 0.10 0.0250
0.45 0.12 0.0540
0.30 0.16 0.0480
expected return 0.1270
Now that we got the expected return at 12.7%
We now subtract the possible outcome with the expected return and square them:
(0.127-0.1)^2
(0.127-0.12)^2
(0.127-0.16)^2
Then we add them and divide by the sample which is 3
0.000622
²√ 0.000622 = 0.024944383
<u><em>Final step,</em></u> will be the square root which gives the standard deviation
of 2.49% = 0.024947
