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.
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Answer:
The answer is letter A.
Explanation:
Less than or equal to 0.1
Because:
Average proportion (P-bar)= 0.024
Observations (n)= 75
sd =√(P-bar)(1-(P-bar)/n
sd =√(0.024)(1-0.024)/75
sd= √(0.024)(0.976)/75
sd= √(0.023424)/75
sd= 0.01767
sd ≤ 0.1
Answer:
For Countries (per capita) United States of America (per capita)
<u> Ethiopia: </u>
$380 $48,468
<u>Mexico: </u>
$9,271 $48,468
<u>India:</u>
$1,358 $48,468
<u>Japan:</u>
$44,508 $48,468
Explanation:
Ratio per Capita also known as Gross Domestic Product per Capita (GDP Capita) is the monetary measure of the market value of all the final goods and services produced in a specific time period within the country in view. <em>It is useful for comparing national economies of different countries on the international market.</em>
Answer:
Hey mate....
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<span>Product line extensions are current products that have been modified.
Answer:True</span>