Answer:
B. less
Explanation:
As compared with the instant rewards the annual raises are becomes less effective when the behavior is reinforced also it is depend upon the time gap that lies between the behavior and the actual reward
Therefore as per the given situation, the option b is correct
hence, all other options are wrong
So, the same is to be considered
<u>Answer:</u>
<em>The most effective marketing strategies are those that are targeted toward a specific audience.</em>
<u>Explanation:</u>
The most effective marketing strategies are those that are targeted toward a specific audience,focused on key benefits based on the audience's point of view and interests, and delivered at an appropriate time, when the audience is most likely to be attentive to and interested in the message being delivered.
Successful marketing focuses solely on selling more products. continues long after the product is purchased. ends once the product is sold to consumers. includes preproduction through selling the product.
Answer: The correct answer is "c. To report a loss when there is a decrease in the future utility below the original cost."
Explanation: When talking about current assets, or more precisely, Merchandise inventory, it is common that sometimes the sale value is less than the original cost of the assets, therefore a negative holding result is produced, that is, a loss.
Cities are municipal corporations that operate under C. Charters from the state.
Answer:
6.11%
Explanation:
For computing the variance, first we have to determine the expected return which is shown below:
= (Expected return of the boom × weightage of boom) + (expected return of the normal economy × weightage of normal economy) + (expected return of the recession × weightage of recession)
= (12% × 5%) + (10% × 85%) + (2% × 10%)
= 0.6% + 8.5% + 0.2%
= 9.30%
Now the variance would equal to the
= Weightage × (Return - Expected Return) ^2
For boom:
= 5% × (12% - 9.3%) ^2
= 0.3645
For normal economy:
= 85% × (10% - 9.3%) ^2
= 0.4165
For recession:
= 10% × (2% - 9.3%) ^2
= 5.329
So, the total variance would be
= 0.3645 + 0.4165 + 5.329
= 6.11%
