Answer:
1. q = 60 million doses
2. 360 millions
Explanation:
Given that:
The cost function C(q) = 5,000 + 0.1q²
Then, the Marginal cost MC = 
Again, inverse demand curve p(q) = 18 - 0.2 q
Then the total revenue TR = 
Also; the marginal revenue MR = 
= 18 - 0.1q
In the bid to maximize profits from BBG; MR = MC
i.e
18 - 0.1 q = 0.2 q
0.3 q = 18
q = 18/0.3
q = 60 million doses
At the profit maximizing output, the price charged will be equal to :

Thus; producer surplus of Olderna at the monopoly price and quantity = price × quantity
= $6 × 60 millions
= 360 millions
Answer:
d. $2.18
Explanation:
The answer with detailed working is attached.
Companies can ship goods to customers in an instant.
Businesses can be available for customers 24 hours a day.
Customers can purchase goods and services online. Customers can give feedback to producers instantly.
<h3>What is one way that technology can improve the production of goods? </h3>
Websites can allow consumers to purchase goods online.
Container ships can transport a number of goods at once. Automation can create goods more cheaply and easily.
<h3>What is the impact of technology on business?</h3>
Information technology has enabled businesses to attain a greater reach.
Now more than ever, it's easier for companies to do business across the world. Emails, text, instant messaging, websites and applications have made global communication quicker and more effective than ever.
Learn more about communication and consumers here:
<h3>
brainly.com/question/6664691</h3><h3 /><h3>#SPJ4</h3>
$400 i believe because 10% of 200 is $20 so 20 multiply 10 is $200 which 200 plus 200 when you equal is $400.
Answer and Explanation:
Since we are not able to refine the method and therefore would continue to have a false positive which here is 1% meaning that for a 100 people tested we would have a chance that one person may have a false result- be innocent but have result guilty, to have less chance of a false positive we could collect another sample for each individual who has result guilty and test this group again. This way we would have reduced false positive if any.