Answer:
E. Cultural pollution.
Explanation:
In marketing terminologies, cultural pollution implies pertaining to customs, beliefs, art and all the other products of human thought made by a particular group of people at a particular time. Culture provides a sense of identity; it defines who you are and maintains a sense of belonging. It validates our reason for being in this world, defining where we are headed in our lives. Cultural rules influence people to behave similarly, making it easier for them to identify with each other. It shapes attitudes, thinking, behavior and values. It is also normative, defining the standard for judging values and behavior.
Answer:
The answer is rise, fewer
Explanation:
When the market is more optimistic about a firm, its share price will RISE OR INCREASE as a result, it will need to issue FEWER shares to raise funds that are needed.
Share price can increase as a result of positive economic environment. For example, the company is making consistent profit, prevailing economic or environmental conditions are favouring the company.
When this happens, company will issue lower shares to raise fund because many investors will be looking to buy their shares.
Answer:
1. an amount after continuing operations.
Explanation:
In preparing the income statement the transactions resulting into gain or loss from the discontinued operations are always reported in income statement.
For this there is special heading that is
Amount after continuing operations
This basically reflects the gain or loss from the sale of such segment.
This provides for reporting all the transactions as part of business but in an highlighted manner.
If it triples each time you will get 19683 pennies
Answer:
1.1%
Explanation:
Calculation to determine what the probability of the next purchase order having an error is using
an empirical probability
Using this formula
Probability=Purchase orders errors/Purchase orders filled
Let plug in the formula
Probability=1100/100000
Probability=0.011*100
Probability=1.1%
Therefore using an empirical probability the probability of the next purchase order having an error is 1.1%
