A check-processing center uses exponential smoothing to forecast the number of incoming checks each month. The number of checks received in June was 42 million, while the forecast was 42 million. A smoothing constant of 0.15 is used. A) What is the forecast for July?B) If the center received 45 million chekcs in July, what would be the forecast for August?C) Why might this be an inappropriate forecasting method for this situation?

A. Forecast for July = 42.

B. Forecast for August = 42.45

C. Because of seasonality in the banking industry.

Explanation:

A. Forecast for July = Forecast for June + Smoothing constant x (Forecasting error)

                                 = 42 + 0.15 (42-42) = 42

B. Forecast for August = Forecast for July + 0.15 (Forecasting error)

                                      = 42 + 0.15 (45-42) = 42.45

C. Because there is a great deal of seasonality in the processing requirements of banking industry, this forecasting method (exponential smoothing) might not be appropriate for this situation.

being born in poverty would limit the people's chances, opportunities and benefits.

this happen because of several things, such as:

- poor people tend to gain less access to good education and nutrition. this mean that their chance to obtain high paying jobs would also be limited.

- poor people tend to socialize with other poor people while the rich tend to socialize with other rich people. this means that simply throguh their social circle, rich people would have more business opportunities compared to the poor people.

- rich people tend to have more capital in their disposal. this would benefit them in business since it is far easier for them to fund their business operation compared to poor people.