Statistics Y10 Time Series and Probability EoT test 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
Q

what is the sample space

A

the list of all possible outcomes

26
Q

what is a sample space diagram

A

tables used to represent the sample space

27
Q

when are sample space diagrams applicable

A

when all outcomes are equally likely

28
Q

what hapens as nuimber of trials increases

A

estimated probability gets closer to the true value

29
Q

what does a venn diagram need

A
  • a box
  • (interlocking) circles
  • labels
30
Q

what does P(A) mean

A

probability of event A happening

31
Q

what does P(A∩B) mean

A

probability of event A and event B occuring

32
Q

what does P(A∪B) mean

A

probability of either event A or event b occuring

33
Q

what does P(A’) mean

A

probability of event a not happening (complement of event A)

34
Q

calculate P(A’)

35
Q

what are mutually exclusive events

A

events that cannot happen at the same time

36
Q

what are mutually exhaustive events

A

events that contain all possible outcomes

37
Q

calculate P(A∪B)

A

P(A) + P(B) - P(A∩B) (general addition law)

38
Q

what are independent events

A

events whose outcomes do not affect eachother

39
Q

calculate P(A∩B) for independent events

A

P(A) * P(B)

40
Q

what does P(A|B) mean

A

probability of event A happening given event B has happened

41
Q

calculate P(A|B)

A

P(A∩B) / P(B)

42
Q

calculate P(A|B) for independent events