Sampling Flashcards

(18 cards)

1
Q

Simple random sampling description

A

Assign a number to each member of sampling frame and generate random number

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2
Q

Simple random sampling pro

A

Representative

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3
Q

Simple random sampling Con

A

Time consuming, impractical, may not get minority subsets

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4
Q

Systemic sampling description

A

Chose your sample by picking every nth number of the sampling frame

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5
Q

Systemic sampling Pro

A

Fast, should be representative if order is random enough

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6
Q

Systemic sampling Con

A

Risk you will choose an unrepresentative sample eg. Cyclic patterns

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7
Q

Stratified sampling description

A

If population clearly divides into different categories and will affect variable being measured. Need enough
Measurements from each category

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8
Q

Stratified sampling Con

A

How subgroups are chosen would affect outcome

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9
Q

Cluster sampling Description

A

Populations clearly divides into different groups but no reason to suppose variables wil be significantly differently distributed . Chose one or more of the clusters and sample only from those

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10
Q

Cluster sampling Pro

A

Representative if sampling within clusters is good,fast

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11
Q

Cluster sampling Con

A

Could be unkownn differences in subgroups

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12
Q

quota sampling description

A

population is divided into different categories but you dont care aboutt the proportions. decide how many of eshc categories you are going to measure

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13
Q

quota sampling pro

A

easy to do and can collect response from a large range of group

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14
Q

quota sampling con

A

quotas chosen could cause bias

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15
Q

tan(2a)

A

(2tan^2(a))/(1-tan^2(a))

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16
Q

why might change in sign method for finding root not work

A

1) there is a repeated root
2) there is a discontinuity, change in sign but no root. Eg TanX, 1/X
3) 2 roots squeezed between consecutive integers

17
Q

why might Newton-Raphson method fail

A

1) when a starting value leads to f’(x)=0 ( a stationary point). The sequence becomes undefined
2) The sequence converges but not to the root near the starting value
3) 3 roots between 2 consecutive integers, the middle one cannot be found

18
Q

conditions for binomial distribution

A

1 conduction trials on random samples of certain sizes(n)
2 On each trial the outcomes can be classified as either success (p) or failure (q)
3 The outcomes of each trial is independent of the outcomes of any other trial
4 The probability of success p is the same on each trial