Sampling and Data Collection Quiz

Sampling and Data Collection Quiz

12th Grade

•

46 Qs

quiz-placeholder

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Sampling and Data Collection Quiz

Sampling and Data Collection Quiz

Assessment

Quiz

•

Mathematics

•

12th Grade

•

Practice Problem

•

Medium

Created by

Erika Cruz

Used 3+ times

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46 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary advantage of using stratified sampling?

It is easier to implement than other methods

It ensures representation of all subgroups

It requires less time and resources

It eliminates all forms of bias

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A researcher wants to study the eating habits of college students by selecting every 10th student from a list. What sampling method is being used?

Cluster sampling

Systematic sampling

Stratified sampling

Simple random sampling

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an example of non-response bias?

Selecting a sample that is not representative of the population

Participants dropping out of a study

Participants providing false information

Participants refusing to participate in a survey

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main disadvantage of using convenience sampling?

It is time-consuming

It is expensive

It may not be representative of the population

It requires complex statistical analysis

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In which sampling method are participants selected based on their whoever is closest to you and easiest to access?

Stratified sampling

Cluster sampling

Convenience sampling

Systematic sampling

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a characteristic of a good survey question?

It is long

It is leading and suggestive

It is clear and concise

It is maniplative

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A researcher divides a city into districts and randomly selects one district to study all households within it. What sampling method is this?

Simple random sampling

Stratified sampling

Cluster sampling

Systematic sampling

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