12/03 Determining Sampling Methods

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What is Convenience Sampling?

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Convenience sampling is a non-probability sampling method where the sample is taken from a group that is easily accessible to the researcher. It is often used for its simplicity and speed, but it may not represent the entire population accurately.

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What is Random Sampling?

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Random sampling is the method of selecting a sample from a larger population in such a way that every individual has an equal chance of being chosen. This method is crucial for ensuring that the sample is representative of the population.

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What is a Simple Random Sample?

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A simple random sample is a subset of a population where each member has an equal probability of being selected. This can be achieved through methods like random number tables or lottery methods.

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Define Population in statistics.

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In statistics, a population is the entire group of individuals or instances about whom we hope to learn. It includes all members of a specified group.

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What is a Sample?

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A sample is a subset of a population that is used to represent the entire group. Samples are used in statistical analysis to draw conclusions about the population.

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What is Systematic Sampling?

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Systematic sampling is a probability sampling method where you select every nth individual from a list of the population. This method is useful for ensuring a spread across the population.

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What is Stratified Sampling?

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Stratified sampling is a method of sampling that involves dividing the population into subgroups (strata) and then taking a sample from each stratum. This ensures representation from all segments of the population.

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What is Voluntary Response Sampling?

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Voluntary response sampling is a non-probability sampling method where individuals select themselves to participate in a survey. This method can lead to bias as it often attracts individuals with strong opinions.

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Why is Convenience Sampling often biased?

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Convenience sampling is often biased because it relies on a sample that is easy to access, which may not represent the broader population. For example, surveying people at a mall may only reflect the opinions of shoppers.

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What is the importance of Random Sampling in statistical studies?

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Random sampling is important because it helps ensure that the sample is representative of the population, leading to more accurate and reliable results.