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16 Cards in this Set
- Front
- Back
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Numerical data such as time, age, height. |
Quantitative |
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Non-numerical data such as opinions, favourite subjects, gender |
Qualitative |
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Data jumps from one measurement to the next. The measurements between have no meaning (shoe size, number of goals scored etc) |
Discrete Data |
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Data that does not jump from one measurement to the next, but passes smoothly through all the measurements (time, height, weight etc) |
Continuous Data |
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Data that is collected by the person who is going to use it |
Primary Data |
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Data that is not collected by the person who is going to use it |
Secondary Data |
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Collecting data from a representative selection of the population they are interested in |
Sampling |
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What is a population? |
The collection of all the items about which we want to know some characteristics. |
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What is it called when you collect information from every member of the population? |
A Census |
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What are the disadvantages of a census? |
Time Consuming and Expensive |
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What are the advantages of a census? |
No Sampling Errors and detailed information about Sub-Groups within the population. |
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What is a list from which all the subjects from which the sample is to be chosen? |
A Sampling Frame |
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Examples of Sampling Frames: |
Postcode Address File, Electoral Register, Telephone Directories, Membership Lists, Maps, etc. |
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What could be a problem with the Sampling Frame? |
May not be up to date |
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How to work out the standardised score: |
(Score - Mean) ÷ Standard Deviation |
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What makes something normally distributed? |
No outliers No positive or negative distribution The graph must be symmetrical |
