Answer:
B. they involve the use of expert judgement do develop forecasts
Explanation:
A time series is a series of events that is spaced equally in time. It is a statistical technique used to identify a time based trend of events and them make forecast using data from the trend/time series.
Time series requires certain processes which include discovering of a pattern in the historical data, projection of the historical data into the future, assumption that the pattern will remain the same(constant) as the time goes by, etc.
In time series method, since historical data is the point of reference for making a forecast, no expert judgements is required to develop forecasts. This is because once the data of the series from the past has been taken and a trend/pattern has been identified, that becomes the basis for future forecasts.
Cheers.
Answer:
when the domestic money supply falls, the price level would eventually fall, keeping the interest rate constant.
Explanation:
Price can be defined as the amount of money that is required to be paid by a buyer (customer) to a seller (producer) in order to acquire goods and services.
In sales and marketing, pricing of products is considered to be an essential element of a business firm's marketing mix because place, promotion and product largely depends on it.
The flexible-price monetary model was developed by Frenkel and Mussa in 1976 and it states that the prices of goods are flexible while the purchasing power parity (PPP) is always constant.
Under a flexible-price monetary approach to the exchange rate when the domestic money supply falls, the price level would eventually fall, keeping the interest rate constant.
Answer:
increase, decrease, decrease
Explanation:
Answer:
Choose among alternatives
Explanation:
Answer:
The answer is: 14,400 different production sequences are possible
Explanation:
For this calculation I will assume that the first 5 operations can be made in any order, as well as the last 5.
For the first set of machining operations, since they can go in any order, you choose one operation and then you have 4 operations left, then you choose another operation and you have 3 operations left, then you choose another operation and you have 2 operations left, you choose another option and you have only 1 operation left. This process can be expressed by the following equation: 5 x 4 x 3 x 2 x 1 = 120 possible different combinations. Mathematically it can also be expressed as 5! = 120
The same for the last 5 assembly operations, you have 5 x 4 x 3 x 2 x 1 = 120 possible different combinations.
So to get the total possible combinations of all the process, we just multiply 120 x 120 = 14,000 or 5! x 5! = 14,400
