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Populations, censuses and samplesEdexcel International A Level Further Maths: Flashcards

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What is a population?

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What is a population?
The whole set of items or individuals of interest.
What is a census?
A survey that observes every member of the population.
What is a sample?
A selection of members of the population, used to learn about the whole.
What is a sampling unit?
A single member of the population that can be selected, such as one household.
What is a sampling frame?
A list of all the sampling units in the population.
Give two advantages of a census.
It gives exact population values, and there is no sampling variability or bias from the choice of sample.
Give two advantages of a sample.
It is cheaper and quicker, and needs less data processing. It is also essential if testing is destructive.
Give two disadvantages of a sample.
It is subject to sampling variability and may not be representative, so it can be less accurate.
When is a census unsuitable?
When testing destroys the item, when the population is very large or infinite, or when time and cost are limited.
What is a statistic?
A quantity calculated only from the sample data, with no unknown parameters.
Is Xˉ−μ\bar X-\mu a statistic? Why?
No, because it contains the unknown parameter μ\mu, so it cannot be calculated from the sample alone.
What is a sampling distribution?
The probability distribution of a statistic over all possible samples of a given size.
Why does a statistic have a sampling distribution?
Its value changes from one random sample to the next, so it is a random variable.
How do you find a sampling distribution for a small population?
List all possible samples, find the statistic for each, and add the probabilities of equal values.

Exam questions on Populations, censuses and samples

  1. A council keeps a register of the 42004200 households in its area. To find out how many households recycle, it selects 300300 households from the register and sends each one a questionnaire.
    Give one advantage and one disadvantage of the council using a sample of 300300 households rather than a census.2 marks
  2. The masses of bags of flour are modelled by N(μ,σ2)\mathrm{N}(\mu,\sigma^2), where μ\mu and σ\sigma are unknown. A random sample X1,X2,X3,X4,X5X_1,X_2,X_3,X_4,X_5 of bags is taken and Xˉ\bar X is the sample mean.
    Explain why Xˉ\bar X has a sampling distribution but μ\mu does not.2 marks
  3. A bag contains three discs numbered 11, 22 and 33. A disc is drawn at random and replaced, and then a second disc is drawn at random. Let MM be the larger of the two numbers drawn (or the common value if they are equal) and let Xˉ\bar X be the mean of the two numbers.
    Find the sampling distribution of MM.3 marks
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Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).