Chapter 1 Stats Flashcards

1
Q

Population

A

The whole set of items that are of interest

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2
Q

Sample

A

Some subset of the population intended to represent the population

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3
Q

Sampling unit

A

Each individual thing in that population

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4
Q

Sampling frame

A

List of sampling units

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5
Q

Census

A

Data collected from the entire population

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6
Q

Census advantages

A

Should give completely accurate result

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7
Q

Census disadvantages

A
  • time consuming +expensive
  • can’t be used when testing involves destruction
  • large data of volumes to process
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8
Q

Sample advantages

A

Cheaper
Quicker
Less data to process

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9
Q

Sample disadvantages

A

Data may not be accurate

Data may not be large enough to represent small sub-groups

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10
Q

Random sampling

A

Gives everything an equal chance of being chosen to avoid bias

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11
Q

Simple random sampling method

A

In the sampling frame each item is assigned a number

Use a random number generator or ‘lottery sampling’ (names in hat)

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12
Q

Simple random sampling advantages

A

Bias free
Easy and cheap to implement
Each number has a known equal chance of being selected

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13
Q

Simple random sampling disadvantages

A

Not suitable when pop is lrg
Sampling frame needed
Can introduce bias if sampling from =not random

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14
Q

Systematic sampling+method

A

Required elements r chosen at regular intervals in ordered list
E.g. take every Kth element where
K=pop size(n) /sample size (n)
Start at random item between 1 and k

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15
Q

Systematic sampling advantages

A

Simple +easy to use

Suitable for lrg samples

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16
Q

Systematic sampling disadvantages

A

Sampling frame again needed

Can introduce bias if sampling frame not random

17
Q

Stratified sampling +method

A
Population divided into groups (strata) and a simple random sample carried out in each group (same proportion )
Sample size (n)/population (N) sampled from each strata
Used when lrg+ pop naturally divides into groups
18
Q

Advantage of stratified sampling

A

Reflects population structure

Guarantees proportional representation of groups within population

19
Q

Disadvantages of stratified sampling

A

Population must be clearly classified into distinct strata

Selection within each stratum suffers from same disadvantages as simple random sampling

20
Q

Quota sampling +method

A

Pop divided into groups according to characteristic
a quota of items/ppl in each group is set to try nd reflect group’s proportion in whole pop
Interviewer selects actual sampling units

21
Q

Quota sampling advantages

A

Allows small sample still representative of pop
No sampling frame required
Relatively easy+ inexpensive
Allows for easy comparison between different groups in pop

22
Q

Quota sampling disadvantages

A

Non- random sampling can intro bias
Pop must be divided into groups -can be costly/inaccurate
Increasing scope of study increases no. groups adding
Non-responses= not recorded

23
Q

Opportunity/ convenience sampling

A

Sample taken from ppl who are available at time of study, who meet criteria

24
Q

Advantage opportunity sampling

A

Easy to carry out

Inexpensive

25
Q

Disadvantages opportunity sampling

A

Unlikely to provide a representative sample

Highly dependent on individual researcher