Recent Lessons

Show all results for ""

Feature Overview

Ace your exams with our all-in-one platform for creating and sharing quizzes and tests.

Free Tools

Explore our collection of AI-powered tools designed to boost your productivity.

Flashcards

Automatically turn your notes into digital flashcards.

Share, Export & Embed

Share with classmates or export to Excel and your learning management system.

Stats & Reporting

Auto-grading quizzes and tests with detailed stats and reports.

Mobile Apps

The smarter way to study – wherever you are.

Pricing Schools Business

Features Free Tools Pricing Schools Business

5 Questions

6 Views

Types of Sampling in Statistics

Choose a study mode

Play Quiz

Study Flashcards

Spaced Repetition

Chat to Lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

What type of sampling allows strong statistical inferences about the whole group?

Simple Random Sampling (correct)
Snowball Sampling
Purposive Sampling
Convenience Sampling

In which type of sampling are individuals selected based on convenience or other criteria?

Systematic Sampling
Stratified Sampling
Cluster Sampling
Convenience Sampling (correct)

What is the characteristic of Snowball Sampling?

Handpick participants based on specific characteristics
Start with a few participants and ask them to refer others (correct)
Randomly select clusters
Select every nth individual from a list

Which sampling method involves dividing the population into subgroups before sampling?

<p>Stratified Sampling (D)</p> Signup and view all the answers

What is the distinguishing feature of Purposive Sampling?

<p>Handpick participants based on specific characteristics (B)</p> Signup and view all the answers

Study Notes

Probability Sampling

Allows strong statistical inferences about the whole group
Involves random selection of participants
Examples include:
- Simple Random Sampling: each participant has an equal chance of being chosen
- Systematic Sampling: select every nth individual from a list
- Stratified Sampling: divide the population into subgroups (strata) and sample from each
- Cluster Sampling: randomly select clusters (e.g., schools, neighborhoods) and sample all individuals within those clusters

Non-Probability Sampling

Based on convenience or other criteria, rather than random selection
Examples include:
- Convenience Sampling: conveniently select available participants
- Purposive Sampling: handpick participants based on specific characteristics
- Snowball Sampling: start with a few participants and ask them to refer others
- Quota Sampling: set quotas for different subgroups and sample accordingly

Studying That Suits You

Use AI to generate personalized quizzes and flashcards to suit your learning preferences.

Description

Learn about different types of sampling techniques used in statistics, including probability sampling methods like Simple Random Sampling, Systematic Sampling, Stratified Sampling, and Cluster Sampling. Understand the differences between probability and non-probability sampling approaches.