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Sampling

Quiz by fiona craig

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9 questions
Show answers
  • Q1
    What is sampling in statistics?
    The process of selecting a subset of individuals from a larger population to gather data.
    The process of organizing data in a table.
    The process of analyzing data to find patterns.
    The process of comparing data sets to make conclusions.
    30s
  • Q2
    Which of the following is an example of random sampling?
    Asking friends for their opinions on a topic.
    Surveying every student in a single classroom.
    Interviewing people at a shopping mall.
    Selecting names from a hat to choose participants for a survey.
    30s
  • Q3
    What is the purpose of sampling in statistics?
    To compare different data sets.
    To gather data and make inferences about a larger population.
    To organize data in a systematic manner.
    To analyze data and find patterns.
    30s
  • Q4
    What is the sampling error?
    The average of the sample data.
    The difference between the results obtained from a sample and the true population value.
    The process of selecting a sample from a population.
    The number of individuals in a sample.
    30s
  • Q5
    What is a representative sample?
    A sample that includes only a few individuals.
    A sample that accurately reflects the characteristics of the larger population.
    A sample that is randomly selected.
    A sample that is collected from different populations.
    30s
  • Q6
    What is a biased sample?
    A sample with a large number of participants.
    A sample that does not accurately represent the larger population.
    A sample that includes individuals from different populations.
    A sample that is randomly selected.
    30s
  • Q7
    What is stratified sampling?
    Randomly selecting individuals from the entire population.
    Sampling individuals from a single group or location.
    Dividing the population into subgroups and selecting a proportional number of individuals from each subgroup.
    Choosing individuals based on their personal characteristics.
    30s
  • Q8
    What is the purpose of simple random sampling?
    To analyze data and find patterns.
    To ensure that every individual in the population has an equal chance of being selected.
    To divide the population into different subgroups.
    To select participants based on specific criteria.
    30s
  • Q9
    What is the difference between a sample and a population?
    A sample is a smaller group selected from a larger population, while a population includes all individuals or objects of interest.
    A sample is collected through observation, while a population is derived from a survey.
    A sample is used for qualitative data, while a population is used for quantitative data.
    A sample represents a specific characteristic, while a population represents a broader concept.
    30s

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