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Questions and Answers
What defines a probability sample?
What defines a probability sample?
- It requires a high response rate from the target population.
- It is a complete list of everyone or everything in the population of interest.
- It is based on the judgment of the person selecting the sample.
- Each item or person in the population has an equal likelihood of being included in the sample. (correct)
What is the function of a sampling frame?
What is the function of a sampling frame?
- To select the sample based on judgment.
- To provide a complete list of everyone or everything in the population of interest. (correct)
- To ensure a high response rate from the target population.
- To minimize errors in generalizing to the target population.
What does the Central Limit Theorem state?
What does the Central Limit Theorem state?
- The variance of the sampling distribution is equal to σ 2/n.
- A perfect representative sample is one that exactly represents the target population from which it is taken.
- If the population follows a normal distribution, then for any sample size, the sampling distribution of the sample mean will also be normal. (correct)
- The larger the sample size, the less likely an error in generalizing to the target population.
What governs the choice of sample size?
What governs the choice of sample size?
In what circumstance may samples of 30 or more be required to observe the normality feature?
In what circumstance may samples of 30 or more be required to observe the normality feature?
What does a high response rate ensure?
What does a high response rate ensure?
What characterizes non-probability samples?
What characterizes non-probability samples?
Why is a complete list of everyone or everything in the population of interest essential for sampling techniques?
Why is a complete list of everyone or everything in the population of interest essential for sampling techniques?
What does a symmetrical but not normal distribution necessitate for observing normality?
What does a symmetrical but not normal distribution necessitate for observing normality?
Why is it important to have confidence in your data when choosing sample size?
Why is it important to have confidence in your data when choosing sample size?
Which of the following is NOT a reason for considering the need to use sampling in research?
Which of the following is NOT a reason for considering the need to use sampling in research?
What is the term used for a subset of the population that is often more manageable for research purposes?
What is the term used for a subset of the population that is often more manageable for research purposes?
In research, what should the sample selected be related to?
In research, what should the sample selected be related to?
What term is used to refer to the subset of the population highlighted in the research question and objectives?
What term is used to refer to the subset of the population highlighted in the research question and objectives?
According to the text, why might a researcher redefine the population as something more manageable?
According to the text, why might a researcher redefine the population as something more manageable?
What does Figure 7.1 in the text illustrate?
What does Figure 7.1 in the text illustrate?
Study Notes
Probability Sampling
- A probability sample is a sample where every member of the population has an equal and known chance of being selected.
- A sampling frame is a list of all members of the population from which the sample is drawn, and it is essential for probability sampling.
Central Limit Theorem
- The Central Limit Theorem states that the distribution of sample means will be approximately normal, even if the population distribution is not normal, as long as the sample size is sufficiently large.
Sample Size
- The choice of sample size is governed by the level of precision desired and the available resources.
- A sample size of 30 or more may be required to observe the normality feature in certain circumstances, such as when the population distribution is non-normal.
Response Rate
- A high response rate ensures that the sample is representative of the population, which increases the validity of the findings.
Non-Probability Samples
- Non-probability samples are characterized by members not having an equal chance of being selected, and the sample is often biased.
Research Considerations
- A complete list of everyone or everything in the population of interest is essential for sampling techniques, as it allows for the selection of a representative sample.
- A symmetrical but not normal distribution necessitates a larger sample size to observe normality.
- Having confidence in your data is crucial when choosing a sample size, as it directly affects the accuracy of the findings.
Research Terminology
- A subset of the population that is often more manageable for research purposes is called a sample.
- The sample selected should be related to the research question and objectives.
- The subset of the population highlighted in the research question and objectives is referred to as the target population.
Research Challenges
- A researcher may redefine the population as something more manageable due to limitations in time, resources, or access to the original population.
Figure 7.1
- Figure 7.1 in the text illustrates the process of selecting a sample from a population.
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Description
Test your knowledge of sampling in business research methods with this quiz based on Chapter 7 of the book 'Research Methods for Business Students' by Saunders et al. Explore the importance of sampling, considering factors like cost, time, and feasibility.
