Lesson 2.01a

2.01a Populations and samples Quiz: OCR Maths, Unit 11

20 questions

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Lesson 2.01a, Populations and samples: 20 multiple choice questions for the OCR Maths (H240), Unit 11: Statistical Sampling, written with Revision Ninja.

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The 20 questions

  1. What statistical term describes the entire collection of items or individuals under investigation?

    • Parameter
    • Statistic
    • Population
    • Sample
  2. What statistical term describes a selection of individuals taken from a larger population?

    • Population
    • Census
    • Parameter
    • Sample
  3. What is a primary practical advantage of taking a sample rather than conducting a census?

    • Complete data
    • Lower cost
    • Higher accuracy
    • Zero bias
  4. What statistical process uses sample evidence to make generalized claims about a population?

    • Inference
    • Census
    • Stratification
    • Sampling
  5. The population mean is an example of which kind of quantity?

    • A random variable
    • A sample
    • A statistic
    • A parameter
  6. Which of the following represents an entire statistical population rather than a sample?

    • A classroom group
    • First 50 visitors
    • Ten random students
    • All UK students
  7. What does the letter n usually represent in statistical sampling notation?

    • Sample mean
    • Standard deviation
    • Population size
    • Sample size
  8. A school has 1200 pupils and 60 are asked about lunch. What is the sample size?

    • 20
    • 60
    • 1200
    • 1140
  9. A survey studies 200 people selected from 5000 registered voters. What are the 200 people?

    • A census
    • The population
    • A parameter
    • A sample
  10. A sample mean is 18.2 hours. What is the best point estimate for the population mean?

    • 0 hours
    • 18.2 hours
    • 400 hours
    • 40 hours
  11. Sampling cars in a car park at 9 am only is most likely to introduce what issue?

    • Large sample size
    • Calculation error
    • Sampling bias
    • High cost
  12. What is a numerical value calculated from sample data called in statistics?

    • A population
    • A statistic
    • A parameter
    • A census
  13. A population has 10 000 items and a sample of 100 has a proportion of 0.3 defective. What is the sample proportion?

    • 0.7
    • 3000
    • 0.3
    • 0.03
  14. Why do different samples drawn from the same population usually yield slightly different sample means?

    • Human error
    • Population variation
    • Sampling variability
    • Systematic bias
  15. A sample of 25 people is taken from 500 without replacement. What fraction of the population is sampled?

    • 20%
    • 2%
    • 25%
    • 5%
  16. Two samples from one population produce means of 62 and 58. What explains this difference?

    • Population shift
    • Sampling variation
    • Calculation error
    • Systematic bias
  17. What is an advantage of a census over a sample?

    • No sampling error
    • No measurement error
    • Lower total cost
    • Faster data collection
  18. What is the main drawback of opportunity sampling?

    • High total cost
    • Requires a frame
    • High sampling bias
    • Complex selection process
  19. A population has 800 members and a simple random sample of 80 is taken. What percentage of the population is in the sample?

    • 10%
    • 1%
    • 8%
    • 80%
  20. Which of these symbols represents a sample statistic?

    • π
    • s
    • μ
    • σ

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