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GCSE Statistics Keywords Verified Answer
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GCSE Statistics Keywords Verified Answers Bivariate data ️️Data that involve two variables Data ️️Information that has been collected Discrete data ️️Data that can only take certain numerical values in a given range, e.g. Shoe sizes Hypothesis ️️An assumption made as the sta...

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  • November 14, 2024
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GCSE Statistics Keywords Verified Answers

Bivariate data ✔️✔️Data that involve two variables



Data ✔️✔️Information that has been collected



Discrete data ✔️✔️Data that can only take certain numerical values in a given range, e.g. Shoe sizes



Hypothesis ✔️✔️An assumption made as the starting point of an investigation. It should be a
statement.



Qualitative data ✔️✔️Observations that do not have numerical values and must be described in
words, e.g. Colour



Quantitative data ✔️✔️Observations that can take numerical values; that can be measured and given
as a number



Variable ✔️✔️A quantity that can have different values



Continuous data ✔️✔️Data that can take any value on a continuous scale, e.g. time; usually rounded



Census ✔️✔️Information about every member of the population



Population ✔️✔️Everybody or everything that could be involved in the investigation, e.g. Members of
a school



Random sample ✔️✔️The sample in which the people or items are chosen without making a
conscious decision. Each person or item has an equal chance of being selected

, Sample data ✔️✔️Information about part of the population



Sampling frame ✔️✔️A list of all the people or items in the population, e.g. a register of members of
the school



Sampling units ✔️✔️All the people or things in the population



Advantages of a census ✔️✔️Unbiased

Takes the whole population into account

- Accurate



Disadvantages of a sample ✔️✔️May be biased

Not completely representative



Disadvantages of a census ✔️✔️Expensive

Time consuming

Lots of data to handle

- Difficult to ensure the whole population is being used



Advantages of a sample ✔️✔️Cheaper

Less time consuming

Easy to manage



Simple random sampling ✔️✔️1) Number each item on the sampling frame

2) Obtain the required number of random numbers from a generator, table etc.

3) Select the items with these numbers



Stratified sampling ✔️✔️A sample when a population can be divided into strata (sub-populations),
each represented fairly, with items randomly selected within each stratum.

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