Answer: Which of the following describes what is identified by a supply schedule?
How much suppliers will profit at various prices
How much consumers will save at various supply levels
How much suppliers will raise prices as production varies
How much of a product suppliers will produce at various prices
Explanation: A supply schedule is a table that shows the quantity supplied at each price. A supply curve is a graph that shows the quantity supplied at each price. Sometimes the supply curve is called a supply schedule because it is a graphical representation of the supply schedule.
Answer:
The correct answer is option c.
Explanation:
A perfectly competitive market has a large number of buyers and sellers. The firms are price takers and the price is determined by the market forces. Thus the monopoly firms face a horizontal demand curve. This horizontal line represents price, average revenue, and marginal revenue. The equilibrium is obtained where price, (average revenue and marginal revenue) is equal to marginal cost. There is no restriction on entry and exit of firms in the long run. That's why firms face a break-even in the long run.
While in a monopoly market there is a single firm. This firm fixes price higher than marginal cost. The demand curve of the monopoly is a downward sloping showing relatively elastic demand. A monopoly firm can earn profits in both the short run as well as the long run.
The answer is: individual characteristics
In forensic, individual characteristics refers to a trail of evidence that could only be made by someone with a specific background or someone who are used to a certain type of behavior.
From markings and cuts and the sole, investigators could predict the general activities that usually done by the owner of the shoe. This would helped them identify the victim and help to unfold what happened to that victim when the crime occurred.
Answer:
Sample size = 384.16 ≈ 385
If we increase the order size to 25,000, there will be no change in the sample size as sample size is independent of the number of orders
Explanation:
Data provided in the question:
Number of sales order received per day = 2500
Confidence level = 95%
Certainty factor for 95% certainty = 1.96
Now,
Sample size = 
on substituting the respective values, we get
Sample size = 
or
Sample size = 384.16 ≈ 385
If we increase the order size to 25,000, there will be no change in the sample size as sample size is independent of the number of orders
