Formulae. Flashcards

1
Q

Stratified sample =

A

(Strata / total) x sample size

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2
Q

Pearson capture - recapture:

A

( Num in 1st x num in 2nd ) / num in 2nd that are marked

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3
Q

Angles in a pie chart =

A

(360 / total frequency) x frequency for each class

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4
Q

Frequency density of histograms =

A

Frequency / class width

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5
Q

Mean of discrete data =

A

Sum of all values / number of values

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6
Q

Mean in a grouped frequency table =

A

Sum of (frequency x midpoint) / sum of frequencies

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7
Q

Weighted mean =

A

Sum of (weight x value) / sum of weights

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8
Q

Outliers =

A

Values > UQ + (1.5 x IQR)
OR
Values < LQ - (1.5 x IQR)

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9
Q

Skewness by inspection :

A

Positive skew - distribution is shifted leftwards
No skew - symmetrical distribution e.g. normal distribution
Negative skew - distribution is shifted rightwards

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10
Q

Seasonal variation =

A

Actual value - trend value

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11
Q

Mean point on scatter diagrams =

A

(Mean of x values, mean of y values)

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12
Q

Index number =

A

(Price / base year price) x 100

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13
Q

Weighted index number =

A

Sum of (index number x weight) / sum of weights

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14
Q

Chain base index numbers =

A

( Price / last year’s price ) x 100

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15
Q

Standard population =

A

( Number in age group / total population ) x 100

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16
Q

Standardised rate =

A

( Crude rate / 1000 ) x standard population

17
Q

P(event) =

A

Number of successful outcomes / total number of outcomes

18
Q

Expected frequency of event A =

A

P(A) x number of trials

19
Q

Estimated probability =

A

Number of trials with successful outcomes / total number of trials

20
Q

Risk =

A

Number of trials in which event happens / total number of trials

21
Q

Relative risk =

A

Risk for those in the group / risk for those not in the group

22
Q

Mutually exclusive events =

A

P(A or B) = P(A) + P(B)

23
Q

Mutually exclusive, exhaustive events = (2)

A

P(A) + P(not A) = 1

P(not A) = 1 - P(A)

24
Q

Probability of A or B in independent events =

A

P(A or B) = P(A) + P(B) - P(A and B)

25
Q

Probability of A and B in independent events =

A

P(A and B) = P(A) x P(B)

26
Q

Probability B given A conditional events =

A

P(B|A) = P(B and A) / P(A)

27
Q

Three formulae used to check for independency in events =

A

P(A|B) = P(A)
P(B|A) = P(B)
P(A) x P(B) = P(A and B)

28
Q

Standardised score =

A

(Score - mean) / standard deviation

29
Q

Z scores =

A

(Value - sample mean) / standard deviation

30
Q

Predicted value seasonal variation

A

Predicted value = trend line value + estimated mean seasonal variation