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StatisticsQ&A LibrarySampling Method What type of sampling best describes the way in which the 717 subjects were chosen: simple random sample, systematic sample, convenience sample, stratified sample, cluster sample? Does the method of sampling appear to adversely affect the quality of the results?Question

Asked Jan 9, 2020

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Sampling Method What type of sampling best describes the way in which the 717 subjects were chosen: simple random sample, systematic sample, convenience sample, stratified sample, cluster sample? Does the method of sampling appear to adversely affect the quality of the results?

Step 1

A study was conducted to know the association between the ear used for cell phone calls and whether the subjects are left-handed or right-handed. They sent emails to 5,000 people out of which 717 returned the survey.

*Simple random sampling:*

If a sample of *n* subjects is selected, then every unit in the population has an equal chance of being selected into the considered sample. Then, it is termed as simple random sampling.

*Systematic sampling:*

Systematic sampling involves first considering a starting point for selecting the sample, and then selects every unit in the population.

Step 2

*Convenience sampling:*

The convenience sample is taken using the subjects that are easily available to be considered into the sample.

*Stratified sampling:*

In stratified sampling, the whole population is divided into two or more different subgroups, based on their characteristics. Then, from each subgroup, the units are selected and the required sample is drawn.

*Cluster sampling:*

In cluster sampling, the whole population is divided into different sections or clusters. From these sections, some are randomly selected, and all the subjects from the selected sections are taken into the sample.

Step 3

In this survey, the people (respondents) have themselves participated based on their own interest, because only 717 people out of 5,000 people responded. This implies that the people by themselve...

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