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Randomness and Survey Sampling

by David Spade, PhD
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    About the Lecture

    The lecture Randomness and Survey Sampling by David Spade, PhD is from the course Statistics Part 1. It contains the following chapters:

    • Randomness and Survey Sampling
    • Random Sampling
    • Selecting a Representative Sample
    • Stratified Sampling
    • Systematic Sampling
    • Types of Bias

    Included Quiz Questions

    1. Any random sample will be representative of the population about which it used to make inferences.
    2. By randomly sampling, we ensure that separate outcomes do not affect each other.
    3. No one can guess the outcomes before they happen.
    4. Several software packages exist that will do the sampling for you.
    1. A census is not representative of the population.
    2. A census can be extremely expensive to carry out.
    3. A census may not give information about the population that is as accurate as that obtained from a random sample.
    4. A census can be very complex
    1. This list is known as the sampling frame.
    2. This list is known as the population.
    3. This list is known as the sample.
    4. This list is known as a census.
    1. We have used a convenience sampling scheme.
    2. We have used a voluntary response sampling scheme.
    3. We have used a cluster sampling scheme.
    4. We have used a stratified sampling scheme.
    1. This survey will likely suffer from response bias.
    2. This survey should not suffer from any bias because the respondents were selected randomly.
    3. This survey will likely suffer from nonresponse bias.
    4. This survey will likely suffer from undercoverage.

    Author of lecture Randomness and Survey Sampling

     David Spade, PhD

    David Spade, PhD


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