Recent Lessons

Show all results for ""

Feature Overview

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

Quizzes

Create quizzes and tests automatically from your content using AI.

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

Search...

12 Questions

0 Views

Sampling Techniques: Random Sampling

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 is the main difference between systematic random sampling and stratified random sampling?

Systematic random sampling involves choosing a random starting point, while stratified random sampling groups the population based on categories. (correct)

Systematic random sampling eliminates bias, while stratified random sampling increases the likelihood of bias.

Systematic random sampling focuses on selecting elements from each stratum, while stratified random sampling involves lottery selection.

Systematic random sampling involves dividing the population into groups, while stratified random sampling considers every kth element.

If a population of 100 students is to be sampled using systematic random sampling with a sample size of 20, what would be the value of q in this scenario?

5 (correct)

In systematic random sampling, how can the starting point be determined?

By choosing any arbitrary number as the starting point

By selecting the smallest number in the population

Using a lottery method on all population numbers

By dividing the total number of population members by the desired sample size (correct)

What is a key advantage of stratified random sampling over systematic random sampling?

Stratified random sampling ensures each stratum is represented in the sample Signup and view all the answers

If a population of 80 individuals is divided into 4 strata for stratified random sampling, how many individuals would be in each stratum if all strata are required to be equally represented in the sample?

24 Signup and view all the answers

Why might stratified random sampling be preferred over systematic random sampling?

It ensures equal representation of all population groups Signup and view all the answers

What is random sampling?

A technique used to choose sample members where everyone in the population has equal chances of being included Signup and view all the answers

What is the lottery method in random sampling?

A technique where researchers randomly select sample members using a draw Signup and view all the answers

Why might systematic random sampling be preferred over simple random sampling?

It requires less effort and time Signup and view all the answers

How does systematic random sampling work?

Selecting every 5th individual from the population list Signup and view all the answers

What is stratified random sampling?

A technique used to divide the population into subgroups before sampling from each subgroup Signup and view all the answers

What is a key advantage of using stratified random sampling over simple random sampling?

It allows for representation from different subgroups in the population Signup and view all the answers