1.1 Data collection Flashcards

1
Q

What is a population

A

The whole set of items that are of interest.

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2
Q

What is a census

A

Observes or measures every member of a population.

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3
Q

What are advantages of a census

A

It should give completely accurate results.

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4
Q

What are some disadvantages of a census

A
  • Time consuming and expensive
  • Cannot be used when the testing process destroys the item (e.g. census of the ripeness of avocados you would have to cut them all open)
  • Hard to process large quantities of data
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5
Q

What is a sample

A

A selection of observations taken from a subset of the population which is used to find out information about the population as a whole.

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6
Q

What are some advantages of a sample

A
  • Less time consuming and expensive than a census
  • Fewer people have to respond
  • Less data to process than a census
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7
Q

What are some disadvantages of a sample

A
  • The data may not be accurate
  • The sample may not be large enough to give information about small sub-groups of the population.
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8
Q

What is a sampling unit

A

Individual units of a population.

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9
Q

What is a sampling frame

A

The list of sampling units which are either numbered or named.

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10
Q

What is random sampling

A

Every member of the population has an equal chance of being selected, so the sample should be representative of the population as a whole.

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11
Q

What are the 3 types of random sampling

A
  • Simple random sampling
  • Systematic sampling
  • Stratified sampling
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12
Q

What is a simple random sample

A

A simple random sample of size n is one where every sample of size n has an equal chance of being selected.

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13
Q

E.g. 100 members of a yacht club are listed alphabetically in the club’s membership book. Explain how you would take a simple random sample of 12 members

A
  1. Allocate a number from 1 to 100 to each member of the yacht club.
  2. Use a random number generator to generate 12 random numbers between 1 and 100.
  3. Select the people corresponding to these numbers. This is your sample.
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14
Q

What is systematic sampling

A
  • The required elements are chosen at regular intervals from an ordered list.
  • E.g. If a sample of size 20 was required from a population of 100, you would take every 5th person since 100/20 = 5.
  • The first person is to be chosen at random.
  • E.g. of the first person chosen is number 2, the next would be 7, 12, 17, etc.
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15
Q

What is stratified sampling

A
  • The population is divided into mutually exclusive strata (e.g. males and females) and a random sample is taken from each.
  • Formula: number sampled in stratum = (number in stratum/ number in population) x sample size.
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16
Q

What are some advantages of simple random sampling

A
  • Free of bias
  • Easy and cheap to implement for small populations and sample sizes
  • Each sampling unit has a known and equal chance of selection
17
Q

What are some disadvantages of simple random sampling

A
  • Not suitable when the population size or sample size is large as it is potentially time consuming, disruptive and expensive.
  • A sampling frame is needed (not suitable for sampling trees in a forest).
18
Q

What are some advantages of systematic sampling

A
  • Simple and quick to use
  • Suitable for large samples and populations
19
Q

What are some disadvantages of systematic sampling

A
  • A sampling frame is needed
  • Can introduce bias if the sampling frame is not random
20
Q

What are some advantages of stratified sampling

A
  • Sample accurately reflects the population structure
  • Guarantees proportional representation of groups within a population
21
Q

What are some disadvantages of stratified sampling

A
  • Population must be clearly classified into distinct strata
  • Selection within each stratum suffers from the same disadvantages of simple random sampling
22
Q

What are the 2 types of non-random sampling

A
  • Quota sampling
  • Opportunity sampling
23
Q

What is quota sampling

A

An interviewer or researcher selects a sample that reflects the characteristics of the whole population.

24
Q

What is opportunity sampling

A
  • Taking a sample from people who are available at the time.
  • The study is carried out on people who fit the criteria you are looking for.
25
Q

What are some advantages of quota sampling

A
  • Allows a small sample to still be representative of the population
  • No sampling frame required
  • Quick, easy and inexpensive
  • Allows for easy comparison between different groups within a population
26
Q

What are some disadvantages of quota sampling

A
  • Non random sampling can introduce bias
  • Population must be divided into groups, which can be costly or inaccurate
  • Increasing scope of study increases number of groups, which adds time and expense
  • None responses are not recorded as such
27
Q

What are some advantages of opportunity sampling

A
  • Easy to carry out
  • Inexpensive
28
Q

What are some disadvantages of opportunity sampling

A
  • Unlikely to provide a representative sample
  • Highly dependent on individual researcher
29
Q

What is quantitative data/ quantitative variables

A

Variables or data associated with numerical observations, e.g. shoe size.

30
Q

What is qualitative data/ qualitative variables

A

Variables or data associated with non-numerical observations, e.g. hair colour.

31
Q

What is a continuous variable

A

A variable that can take any value in a given range, e.g. time can take any value (2 seconds, 2.1 seconds, 2.01 seconds).

32
Q

What is a discrete variable

A

A variable that can only take specific values within a given range, e.g. number of siblings (values can only be whole numbers, not decimals).

33
Q

How is data represented in a frequency table

A
  • Specific data values are not shown, groups are more commonly known as classes.
  • Class boundaries tell you the maximum and minimum values that belong in each class.
  • The midpoint is the average of the class boundaries..
  • The class width is the difference between the upper and lower class boundaries.