# on 12-May-2015 (Tue)

#### Flashcard 150890624

Tags
#m249 #mathematics #open-university #statistics #time-series
Question
Suppose that the data are quarterly, so that T = 4; to smoothen out seasonal variations we cannot use simple moving average with period T = 4 (because number is even), and if we use T = 5, one season (e.g. winter and next winter) would be counted twice. How to recover from this?
Use T = 5 weighted average and weight down the season counted twice with 0.5 (relative to other periods' weights).

status measured difficulty not learned 37% [default] 0

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#### Flashcard 150890643

Tags
#m249 #mathematics #open-university #statistics #time-series
Question
The simple moving average is a weighted moving average in which the weights aj are all equal to [...]
N −1

status measured difficulty not learned 37% [default] 0

#### Parent (intermediate) annotation

Open it
The simple moving average is a weighted moving average in which the weights a j are all equal to (2q +1) −1

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#### Annotation 150890950

 #m249 #mathematics #open-university #statistics #time-series One way to predict tomorrow’s average temperature is to assume it will be the same as today’s.

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#### Flashcard 150890954

Tags
#m249 #mathematics #open-university #statistics #time-series
Question
One way to predict tomorrow’s average temperature is to assume it will be the same as [...].