Answer:
The answers are:
- a demand curve
- a demand schedule
Explanation:
A demand curve is a graph showing the relationship between the price of a product, e.g. TV, on the y axis, and the quantity demanded for that product at a certain price (on the x axis). It models the price-quantity demanded for a particular market.
A demand schedule illustrates the same price-quantity demanded relationship for a product as a demand curve, only that it is presented as a table chart instead of a graphic curve.
Answer: Progressive tax policy
Explanation: In a progressive tax policy the rate of tax increases with the amount of taxable income, thus, making it possible to tax the people with higher income high tax and the lower section of the society a low level of tax.
The concept of progressive tax policy is based on the concept of ability to pay and not necessity to pay.
Thus, from the above we can conclude that right option is A.
Answer:
3.8 times
Explanation:
Inventory turnover indicates how many times a company sells and replaces its stock of goods during a particular period. The formula for inventory turnover ratio is the cost of goods sold divided by the average inventory for the same period.
$ 320,000 / 63,000 = 5.1 times in 2022
$283,500 / 32,000 = 8.9 times in 2023
Therefore inventory turnover increase as a result of the switch to the JIT system by 8.9 times - 5.1 times = 3.8 times
Answer:
6.05 years
Explanation:
Payback period is the time in which a project returns back the initial investment in the form of net cash flow. For this purpose we use the net cash flows to calculate the payback.
Payback working is attached with this answer please find it.
Answer:Internal validity
Explanation: Internal validity is a term used in research to describe how well experiments or researches are done, it is usually used to shows whether it avoids confounding, The less chance for confounding in a study, the higher its internal validity.
Internal validity tends to show the soundness of an experiment or research, it also shows how many Confounding variables you have in your experiment or research.
