Maths stats Flashcards

(29 cards)

1
Q

Census

A

Observes/ measures every member in a population

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2
Q

Sample

A

A selection of observations taken from a subset of population

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3
Q

Advantages to census

A

Results should be completely accurate

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4
Q

Disadvantages to census

A

Time consuming and expensive
Can’t be used for testing as it may destory the products

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5
Q

Advantages to sampling

A

Not as time-consuming as a census
Cheaper than census

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6
Q

Disadvantages to sampling

A

Data not representative of entire population, therefore may be inaccurate

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7
Q

Random sampling and three types

A

Each member of the population has an equal chance of being selected
Simple random sampling
Systematic sampling
Stratified sampling

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8
Q

Population

A

Whole set of items of interest

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9
Q

How to carry out a simple random sample

A

1) Number each member
2) Use a random number generator to generate n amount of numbers
3) Select the members who corrospond to the numbers

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10
Q

Advantages of a simple random sample

A
  • Free of bias
  • Each unit has a known and equal chance of selection
  • Easy and cheap for small samples
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11
Q

Disadvantages of a simple random sample

A
  • Cannot be used for large samples/ populations
  • Sampling frame needed
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12
Q

How to carry out a systematic sample

A

1) Number each member
2) Find the interval (k) by dividing the population size by the sample size
3) Choose a random starting point between 1 and k using a random number generator
4) Select every kth term after that

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13
Q

Advantages of a systematic sample

A
  • Simple and quick to use
  • Suitable for large samples and large populations
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14
Q

Disadvantages of a systematic sample

A
  • A sampling frame is needed
  • Bias introduced if sampling frame is not randomly ordered
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15
Q

How to carry out a stratified sample

A

1) Divide the population into different groups
2) Work out how many people to sample from each group using:
number in sample = (group size/ total population) x sample size
3) Randomly select the required number for each group

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16
Q

Advantages of stratified sampling

A

Proportional representation of groups within the population

17
Q

Disadvantages of stratified sampling

A
  • Must be clearly stratified into each stratum
  • Same disadvantages of simple random sampling within each stratum
18
Q

Two types of non-random sampling

A

Quota sampling
Opportunity sampling

19
Q

How to carry out quota sampling

A

1) Divide the population into different groups
2) Work out how many people you need from each group, so they match the population’s proportions
3) Collect responses from each group until the quota is filled

20
Q

Advantages of quota sampling

A
  • Allows a small sample to still be representative of the entire population
  • No sampling frame needed
  • Quick, easy and inexpensive
21
Q

Disadvantages of quota sampling

A
  • Populations must be divided into groups, which may be costly or inaccurate
  • Non-responses not recorded
22
Q

How to carry out opportunity sampling

A

1) Choose people who are easiest to access at the time
2) Collect data from them until your sample size is reached

23
Q

Advantages of opportunity sampling

A
  • Easy and inexpensive
24
Q

Disadvantages of opportunity sampling

A
  • Unlikely to provide a representative result
  • Highly dependent on individual researchers
25
Quantative data
When variables or data are associated with numerical observation
26
Qualitative data
When variables or data are associated with non-numerical observations
27
Continuous variable
A variable that can take any value in a given range
28
Discrete variable
A variable that can only take specific values
29