stats Flashcards

1
Q

E(x) =

A

sum of probability * X

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2
Q

var x

A

E(x^2) - E(x)^2

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3
Q

Y = Ax +B

var x = 
e x =
A

A E(x) + B

A^2 Var X

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4
Q

E(x + y)

A

E(x) + E(Y)

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5
Q

E(xy)

A

sum of XYprobability

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6
Q

poisson approximation requirements

A

high n small p

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7
Q

poisson requirements

A

singly , independant

and at a constant average rate

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8
Q

equal to or less than geo

A

1-(1-P)^x

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9
Q

equal to or greater than geo

A

(1-P)^x-1

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10
Q

for greater than or less than for negative binomial

A

manipulate to use binomial

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11
Q

Hypothesis test

A

value of population parameter is tested against what vaue it takes if h0 is rejected

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12
Q

critical region

A

range of values that would cuase rejection of null hypothesis

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13
Q

z=

A

x - u / sq root (variance over sample size)

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14
Q

null hyp for testing distribution

A

distribution is uitbale

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15
Q

alternate hypothesis for testing distribution

A

distribution not suitable

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16
Q

Degrees of free dom

A

number of cells -1 ( -1 more if probability is worked out)

17
Q

work out p for geometric

A

number of succeses over number of trials

18
Q

work out p for binomial

A

sum of X * frequency / (number of x * number of observation)

19
Q

poissson estimated p

A

sum of X * frequency / number of observation

20
Q

generateing function

A

probabilty times by t^x

21
Q

Gx(1) =

A

1

22
Q

Ex =

A

G dash x (1)

23
Q

var x =

A

g ouble dash of x (1) + g dash of x (1) - (g dash of x (1))^2

24
Q

generating z = x + y

A

G of z(t) = Gx(t) x Gy(t)

25
Q

how to find generatinf function from possion first priciples

A

write first few terms in expoential form

factorise out e^-lamda

rest of inside bracket is mclaurin series

26
Q

function for binomial

A

sum of probabilty of all terms

= binomail expansion

27
Q

Gxn dash (0) =

A

n!P(X=n)

28
Q

type 1 error =

A

size = when null is rejcted but it is true

29
Q

tye 2 error =

A

when null is accepted but null is flase

30
Q

power =

A

when null is rejected and null is false

1 - type 2 error

31
Q

power function

A

function of parameter theta that wll give probabiltuy that test statisctic will fall into critical egion if theta is true

32
Q

what happens if type 2 is increased

A

type 1 decrease