S&M - Data Collection Flashcards

1
Q

what is a population?

A

a whole set of items that are in interest

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2
Q

what does a census observe or measure?

A

it observes or measures every member of a population

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3
Q

what is a sample

A

a selection of observations taken from a subset of the population who’s is used to find out information about the population as a whole

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4
Q

advantages of census

A

it should give a completely accurate result

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5
Q

disadvantages of census

A

-time consuming & expensive
-cannot be used when the testing process destroys the item
-hard to process large quantity of data

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6
Q

advantages of sample

A

-less time consuming & expensive than a census
-fewer people have to respond
-less data to process than in a census

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7
Q

disadvantages of sample

A

-the data may not be as accurate
-the sample may not be large enough to give information about small sub-groups of the population

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8
Q

why can the size of the sample affect the validity of any conclusions drawn?

A

-the size of the sample depends on the required accuracy and available resources
-generally, the larger the sample, the more accurate it is, but you will need greater resources
-if the population is very varied, you need a larger sample than if the population were uniform
-different samples can lead to different conclusions due to the natural variation in a population

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9
Q

what are sampling units?

A

individual units of a population

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10
Q

what’s a sampling frame?

A

sampling units of a population individually named or numbered

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11
Q

a supermarket wants to test a delivery of avocados for ripeness by cutting them in half.

1) suggest why they shouldn’t cut them all in half

2) suggest one way they could improve their estimate

A

1) testing all would mean none left to sell, a census is not appropriate (when testing a product destroys it)

2) they could take a larger sample, this would give better estimate of overall proportion of ripe avocados (larger samples produce more accurate predictions about a population)

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12
Q

random sampling

A

-every member of population has equal chance of being selected
-sample therefore should be representative of the population
-it also helps to remove bias from a sample

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13
Q

what are the 3 methods of random sampling?

A

-simple random sampling
-systematic sampling
-stratified sampling

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14
Q

how to carry out simple random sampling?

A

-you need a sampling frame
-each person / thing is allocated a unique number and a selection of these numbers is chosen at random
-there are 2 methods of choosing numbers: generating random numbers & lottery sampling
-in lottery sampling, members of sampling frame could be written on tickets and placed into a hat

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15
Q

how to carry out systematic sampling

A

the required elements are chosen at regular intervals from an ordered list

eg if a sample size of 20 was required from a population of 100 you would take every fifth person since 100/20 = 5

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16
Q

how to carry out stratified sampling?

A

the population is divided into mutually exclusive strata (males and females for examples) and a random sample is taken from each

17
Q

how to calculate number of sampled in a stratum?

A

number in stratum / number in population x overall sample size