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| Chapter 7: Selecting samples
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| Multiple choice questions
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Try the multiple choice questions below to test your knowledge of this chapter. Once you have completed the test, click on 'Submit Answers for Grading' to get your results. This activity contains 15 questions.
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| Which of the following is NOT part of the sampling design process?
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| The target population be defined in terms of:
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| Which of the following is NOT a qualitative factor that should be considered in determining the sample size?
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| Which of the following is NOT true of probability sampling?
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| What is the least expensive and least time-consuming of all sampling techniques?
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| What are the distinguishing features of simple random sampling?
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| Which of the following are NOT criteria for the selection of stratification variables in stratified sampling?
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| Select all of the following statements which you believe to be true. A truly random sample of the general population would be obtained by:
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| Below is a list of populations and samples. Select the sample that is most likely to be representative (rather than biased) of the population from which it is drawn.
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| Which of the following is NOT a characteristic of quota sampling?
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| Snowball sampling can help the researcher to:
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| What effect does increasing the sample size have upon the sampling error?
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| Which of the following is NOT a type of non-probability sampling?
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| The standard error is a statistical measure of:
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Answer choices in this exercise appear in a different order each time the page is loaded.
Which of the following determines how representative a sample is of a population?
Stratified random sampling can be an important part of the process in creating a representative sample. Stratified random sampling examines the characteristics of a population group and breaks down the population into what is known as strata.
What is the representative of the sample of the population?
A representative sample is a sample from a larger group that accurately represents the characteristics of a larger population. It's known as a representative sample because the answers obtained from it accurately reflect the results you would achieve by interviewing the entire population.
Which sampling method gives a sample that is representative of the population?
Probability sampling means that every member of the population has a chance of being selected. It is mainly used in quantitative research. If you want to produce results that are representative of the whole population, probability sampling techniques are the most valid choice.
Is one way of ensuring that a sample is representative of the population?
The best way of ensuring a representative sample is to (a) have a complete list (i.e. sampling frame) of all elements in the population and know that each and every element (e.g. people or households) on the list has a nonzero chance (but not necessarily an equal chance) of being included in the sample; (b) use random ...
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