Sampling In a statistical study, which of the following types of samples is generally best: convenience sample, voluntary response sample, simple random sample, biased sample?

Short Answer

Expert verified

Simple random sampling is generally the best.

Step by step solution

01

Given information

The four types of samples are convenience sample, voluntary response sample, simple random sample, and biased sample.

02

Step 2:Characteristic of each sample

  • Convenience sample: In convenience sampling, the responses are gathered as per the easiest mode or source available to the researcher. Often, the samples are not true representatives of the population.
  • Voluntary response sample: In voluntary response sampling, the respondents respond to the survey as per their interests. These samples have high chances of being biased, leading to less reliable data.
  • Simple random sample: In this sampling method, data is obtained by collecting responses from the random subjects in the population. The data has a very high chance of being a true representative of the population.
  • Biased sample: In a biased sample, the responses are not a true representation of the population and are inclined toward a particular portion of the population.

As per the characteristics of the sample, the simple random sample provides atrue representation of the population and unbiased responses.

Thus, simple random sampling is the best.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Statistical Significance and Practical Significance. In Exercises 13–16, determine whether the results appear to have statistical significance, and also determine whether the results appear to have practical significance.

MCAT The Medical College Admissions Test (MCAT) is commonly used as part of the decision-making process for determining which students to accept into medical schools. To test the effectiveness of the Siena MCAT preparation course, 16 students take the MCAT test, then they complete the preparatory course, and then they retake the MCAT test, with the result that the average (mean) score for this group rises from 25 to 30. There is a 0.3% chance of getting those results by chance. Does the course appear to be effective?

In Exercises 29–36, answer the given questions, which are related to percentages.

Percentages in Advertising A New York Times editorial criticized a chart caption that described a dental rinse as one that “reduces plaque on teeth by over 300%.” What is wrong with this statement?

Determine whether the given source has the potential to create a bias in a statistical study.

Physicians Committee for Responsible Medicine. The Physicians Committee for Responsible Medicine tends to oppose the use of meat and dairy products in our diets and that organization has received hundreds of thousands of dollars in funding from the Foundation to Support Animal Protection.

In Exercises 29–36, answer the given questions, which are related to percentages.

Percentages in Advertising A New York Times editorial criticized a chart caption that described a dental rinse as one that “reduces plaque on teeth by over 300%.” What is wrong with this statement?

Statistical Significance and Practical Significance. In Exercises 13–16, determine whether the results appear to have statistical significance, and also determine whether the results appear to have practical significance.

Gender Selection In a study of the Gender Aide method of gender selection used to increase the likelihood of a baby being born a girl, 2000 users of the method gave birth to 980 boys and 1020 girls. There is about a 19% chance of getting that many girls if the method had no effect.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free