One of the differences between exponential smoothing and moving average is ... A. Exponential smoothing provides smoothed values for all the time periods observed while moving average does not provide smoothed values for the first and last set of periods. B. Exponential smoothing considers only the data at and before the period, while moving average considers all available data. C. Exponential smoothing provides smoothed values for two periods while an n-period moving average provides smoothed values for n periods. D. Exponential smoothing considers all data available at t while moving average considers all data except the first and last observation.

Question

Kody

Mathematics

11 April, 04:31

One of the differences between exponential smoothing and moving average is ... A. Exponential smoothing provides smoothed values for all the time periods observed while moving average does not provide smoothed values for the first and last set of periods. B. Exponential smoothing considers only the data at and before the period, while moving average considers all available data. C. Exponential smoothing provides smoothed values for two periods while an n-period moving average provides smoothed values for n periods. D. Exponential smoothing considers all data available at t while moving average considers all data except the first and last observation.

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Cora Herrera · Answer 1

a) Exponential smoothing provides smoothed values for all the time period observed while moving average doesn't provide smoothed values for the first and last set of periods.

Step-by-step explanation:

Best difference between exponential smoothing and moving average is option a. Where exponential smoothing is a technique for time series data using exponential function. Exponential are used to assign exponentially decreasing weight. It provide smoothed values over time.

while average dose not provide smoothed values. It doesn't a fixed period but it takes all data series.