Statistics Y10 Time Series and Probability Flashcards

1
Q

what is a time series graph

A

line graph with time plotted on the x (horizontal) axis

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2
Q

what is the purpose of a trend line

A
  • show general trend of data
  • used to make predictions
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3
Q

how to draw a trend line

A
  • by eye
  • about same number of points above and below
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4
Q

what is the general trend

A

the way that the data changes over time

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5
Q

what are dashed lines for on a graph

A

indicate that the values between the points have no meaning

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6
Q

what variations might there be in a time series

A
  • general trend
  • seasonal variations
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7
Q

what are seasonal variations

A

variations in a time series following a regular pattern

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8
Q

calculate n-point moving average

A

Σx / n

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9
Q

where to plot n-point moving average

A

(n+1) / 2 on x axis

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10
Q

calculate seasonal variation

A

actual value - trend value

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11
Q

calculate mean seasonal variation

A

Σ S.V.s for that season / n

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12
Q

calculate predicted value (with seasonal variations)

A

trend value + mean seasonal variation

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13
Q

what is the average seasonal effect

A

mean seasonal variation

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14
Q

what is probability

A

a numerical measure of the chance of an event happening

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15
Q

what if P(A) = 0

A

A is impossible to happen

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16
Q

what if P(A) = 1

A

A is certain to happen

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17
Q

what if P(A) = 0.5

A

chance of A happening is evens

18
Q

calculate probability when all outcomes are equally likely

A

no. of successful outcomes / total no. of outcomes

19
Q

calculate expected frequency of event A

A

P(A) * no. of trials

20
Q

calculate risk of an event

A

no. of trials where event occurs / total no. of trials

21
Q

calculate absolute risk of event A

22
Q

calculate relative risk

A

risk for those in group / risk for those not in group

23
Q

what is absolute risk

A

the probability of a negative event happening

24
Q

what is relative risk

A

how many times more likely an event is to occur for one group compared to another group

25
what is the sample space
the list of all possible outcomes
26
what is a sample space diagram
tables used to represent the sample space
27
when are sample space diagrams applicable
when all outcomes are equally likely
28
what hapens as nuimber of trials increases
estimated probability gets closer to the true value
29
what does a venn diagram need
* a box * (interlocking) circles * labels
30
what does P(A) mean
probability of event A happening
31
what does P(A∩B) mean
probability of event A and event B occuring
32
what does P(A∪B) mean
probability of either event A or event b occuring
33
what does P(A') mean
probability of event a not happening (complement of event A)
34
calculate P(A')
1 - P(A)
35
what are mutually exclusive events
events that cannot happen at the same time
36
what are mutually exhaustive events
events that contain all possible outcomes
37
calculate P(A∪B)
P(A) + P(B) - P(A∩B) (general addition law)
38
what are independent events
events whose outcomes do not affect eachother
39
calculate P(A∩B) for independent events
P(A) * P(B)
40
what does P(A|B) mean
probability of event A happening given event B has happened
41
calculate P(A|B)
P(A∩B) / P(B)
42
calculate P(A|B) for independent events
P(A)