This problem involves finding the new geometric mean (GM) after each observation in a dataset is multiplied by a constant factor.
If the geometric mean of $n$ observations $x_1, x_2, ..., x_n$ is $G$, and each observation is multiplied by a constant $c$, the new geometric mean $G_{new}$ is given by:
$ G_{new} = c \times G $
Given:
Using the property stated above, we can calculate the new geometric mean:
Therefore, the new geometric mean is 100.
Which of the following statements are correct?
(A).When a cyclical pattern in data has a period of less than 1 year, the pattern in data is called seasonal variation
(B). When a cyclical pattern has a period more than 1 year, we refer to it as cyclical variation
(C). Seasonality is considered equivalent to forecasting
(D). Cyclical behaviour in business is also termed as business cycle
Choose the correct answer from the options given below:
Match List-I with List-II
| List-1 | List-II |
| Methods to Deseasonalise the Time Series | Underlying Meaning |
| (A). Method of simple average | (I). It assumes that seasonal variation for a given month is constant fraction of trend |
| (B). Ratio to Trend Method | (II). It is the easiest method of obtaining a seasonal index |
| (C). Ratio to moving average method | (III). It is the most difficult method of measuring seasonal variations |
| (D). Link relative method | (IV). It is also known as the percentage of moving average method |
Choose the correct answer from the options given below: