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Statistics Gcse Edexcel Higher

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  1. Planning-And-Types-Of-Data gcse Edexcel Higher
    2 主题
  2. Population-Sampling-And-Collecting-Data gcse Edexcel Higher
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  3. Tabulation-Diagrams-And-Representation gcse Edexcel Higher
    10 主题
  4. Measures-Of-Central-Tendency gcse Edexcel Higher
    5 主题
  5. Measures-Of-Dispersion gcse Edexcel Higher
    4 主题
  6. Using-Summary-Statistics gcse Edexcel Higher
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  7. Index-Numbers-And-Rates-Of-Change gcse Edexcel Higher
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  8. Scatter-Diagrams-And-Correlation gcse Edexcel Higher
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  9. Time-Series gcse Edexcel Higher
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  10. Quality-Assurance-And-Estimation gcse Edexcel Higher
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  11. Probability-Basics gcse Edexcel Higher
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  12. Probability-Distributions gcse Edexcel Higher
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Exam code:1ST0

Estimating Population Characteristics

How can I use samples to estimate population characteristics?

  • Summary statistics calculated from a sample can be used to estimate the same statistics for the population as a whole

    • e.g. the mean, median, range, quartiles and interquartile range

  • Remember that a sample is a selection of members drawn from the population, whereas the population is all the members

    • Statistics calculated from a sample will usually not be exactly the same as the statistics for the whole population (different mean, etc.)

    • Statistics calculated from two different samples will also not usually be the same

  • As long as the sample is representative of the population

    • then you can assume that the statistics for the population are approximately the same as those for the sample

      • e.g. assume the population mean is about equal to the sample mean

  • This can be used to make predictions about the population

    • About half (50%) of the population will be above the sample median

      • and about half will be below

    • About a quarter (25%) of the population will be below the sample lower quartile

      • and about a quarter will be above the sample upper quartile

    • About half (50%) of the population will be between the sample upper and lower quartiles

  • Sample size has an impact on the reliability of estimates made about the population

    • In general a larger sample size will lead to more reliable conclusions

Examiner Tips and Tricks

  • If a question asks you about improving the reliability of estimates made from samples

    • the answer will almost always have to do with increasing the sample size

Worked Example

Paul has been studying a population of rabbits in Lopital Woods. He captured a sample of 50 rabbits and weighed each of the rabbits before releasing them again. He records the following data for his sample:

total weight of rabbits: 82.5 kg
lower quartile: 1.2 kg
median: 1.6 kg
upper quartile: 2.1 kg

(a) Calculate an estimate for the mean weight of the population of rabbits in Lopital Woods.

Assume that the population mean is the same as the sample mean
Calculate the sample mean by dividing the total weight by the number in the sample (50)

fraction numerator 82.5 over denominator 50 end fraction equals 1.65

1.65 kg

It is assumed that there are a total of 600 rabbits living in Lopital Woods.

(b) Use Paul’s data to estimate how many rabbits in Lopital Woods weigh between 1.2 kg and 2.1 kg.

Those values are the lower and upper quartiles of the data set
Half of the data values fall between the lower and upper quartiles
Assume the same is true for the population as a whole

1 half cross times 600 equals 300

Approximately 300 rabbits

(c) Suggest a way that the reliability of Paul’s results could be improved.

Use a larger sample of rabbits to calculate the statistics from

Petersen Capture Recapture Formula

What is the capture recapture method?

  • The capture recapture method is a way to estimate the size of a population

    • It is used when it is either impossible or impractical to count the whole population

      • e.g. too expensive or too time-consuming

    • Common examples include

      • the population of fish in a river/lake/sea

      • the population of wild animals in a natural habitat

  • The capture recapture method is based on proportion

    • A first sample of the population is captured

      • and each member is given an identifiable marker/tag

    • All members of the sample are then replaced 

      • i.e. released back into the population

    • At a later time, a second sample of the population is taken

    • The proportion of the second sample that is tagged is assumed to be the same as the proportion of the population that was tagged in the first sample

How do I use the Petersen capture recapture formula?

  • The Petersen capture recapture formula is used to find an estimate for the population size using a capture recapture experiment

    • Number space in space population equals fraction numerator sample space size space 1 space cross times space sample space size space 2 over denominator number space marked space in space sample space 2 end fraction

      • This formula is not on the exam formula sheet, so you need to remember it

    • A shorter version is <img alt=”N equals fraction numerator M n over denominator m end fraction” data-mathml=”<math ><semantics><mrow><mi>N</mi><mo>=</mo><mfrac><mrow><mi>M</mi><mi>n</mi></mrow><mi>m</mi></mfrac></mrow><annotation encoding=”application/vnd.wiris.mtweb-params+json”>{“fontF

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