Ucas Exam - Stats And Mechanics Flashcards

1
Q

Standard deviation (words)

A

The root of: the mean of the squares minus the square of the means

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2
Q

Standard deviation formula

A

√(Σfx^2/Σf)-(Σfx/Σf)^2

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3
Q

Linear interpolation formula

A

LB+(PL/GF x CW)

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4
Q

Coded data

A

y = (x-a)/b

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5
Q

Mean of coded data

A

ȳ = (x̄-a)/b

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6
Q

Standard deviation of coded data

A

σy = σx/b

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7
Q

Where to draw cross on cumulative frequency graph

A

Upper end point of the class width

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8
Q

Where to draw cross for frequency polygon

A

Midpoint of class width

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9
Q

Frequency formula

A

Frequency = frequency density x class width

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10
Q

What formula is for mutually exclusive probability events

A

P(A U B) = P(A)+P(B)

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11
Q

What formula is for statistically independent probability events

A

P(A n B) = P(A) x P(B)

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12
Q

What is the addition formula for P(A U B)

A

P(A) + P(B) - P(A n B)

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13
Q

What is the multiplication formula for P(B|A)

A

P(B n A)/ P(A)

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14
Q

Binomial PD without calc

A

nCr x P(failure)^no.failures x P(success)^no.success

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15
Q

Binomial distribution, what does each letter mean

A

X ~ B(n,r)

n = number of trials
p = probability of success

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16
Q

Binomial PD

A

P(X=y)

17
Q

Binomial CD

A

P(X ≤ y)

18
Q

Normal distribution p(1 sd from mean)

A

68%

19
Q

Normal distribution p(2 sd from mean)

A

95%

20
Q

Normal distribution p(3 sd from mean)

A

99.7%

21
Q

Expression for normal distribution and what does each letter mean

A

X ~ N(μ, σ^2)

Mu = mean
σ = standard deviation

22
Q

What is the probability in Inverse normal

A

The area to the left

23
Q

What is the standard normal distribution

A

Z ~ N(0,1^2)

24
Q

What is the formula for z in standard normal

A

Z = (X - μ)/σ

25
Q

How to find missing mean or sd value normal distribution

A

Use inverse to find the Z value and sub into the formula

26
Q

What is going from binomial to normal called

A

Continuity correction

27
Q

Binomial to normal conversions

A

Mean - np
Variance - np(1-p)

28
Q

What features of binomial are best for approximations

A
  • p close to 0.5
  • n is large
29
Q

Suvat without S

A

a = (v-u)/t

30
Q

Suvat without a

A

S = ((v+u)/2) x t

31
Q

Suvat without t

A

V^2 = u^2 + 2as

32
Q

Suvat without v

A

S = ut + 1/2at^2

33
Q

Suvat without u

A

S = vt - 1/2at^2