GCSE stats definitions Flashcards

1
Q

Cluster Sampling - when to use

A

Use when data naturally splits into groups.

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2
Q

Cluster sampling - sampling frame

A

The list of clusters is the sampling frame

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3
Q

Cluster sampling - how to select sample

A

Randomly select clusters from the sampling frame to makes the sample.

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4
Q

Quota sampling

A

Group population by characteristics and interview a quota from each group

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5
Q

Systematic sampling

A

Choose a starting point in sampling frame randomly. Choose items at regular intervals

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6
Q

Non random sampling - comment on

A

Bias; is sample size sensible; how quick and easy method is;how expensive to carry out

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7
Q

Random Sample - definition

A

Every member of the population has an equal chance of being included

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8
Q

Random Sample - advantage

A

Sample is more likely to be representative of the population (provided it is large)

Choice of sample members is unbiased

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9
Q

Random Sample - disadvantage

A

Needs a full list of population

Needs a large sample size

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10
Q

Population - definition

A

Everybody/thing that could possibly be involved in an investigation

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11
Q

Census- definition

A

A survey where data is collected from every member of the population

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12
Q

Quantitative Data - defintion

A

Numerical observations or measurements

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13
Q

Qualitative data - definition

A

Non-numerical observations

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14
Q

Continuous Data - defintion

A

Data which can take any value on a continuous numerical scale

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15
Q

Discrete Data - definition

A

Data which can only take particular values on a continuous numerical scale

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16
Q

Categorical Data - definition

A

Data which can be sorted into non-overlapping categories

17
Q

Ordinal Data - definition

A

Data which can be written in order or which can be given a numerical rating scale