Sampling Techniques and Inference Quiz

Sampling Techniques and Inference Quiz

19 Qs

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Sampling Techniques and Inference Quiz

Sampling Techniques and Inference Quiz

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Khuram Zaman

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19 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of using sampling techniques in research?

To gather data from the entire population
To make inferences about a population based on a sample
To avoid bias in data collection
To increase the response rate

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following best describes a systematic sample?

Selecting every nth individual from a list
Choosing individuals randomly from different strata
Surveying every individual in a population
Using a random number generator to select participants

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a biased representation in sampling?

A sample that accurately reflects the population
A sample that is too small to be reliable
A sample that favors certain outcomes over others
A sample that includes all demographic groups

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a sampling frame?

A method for collecting data
A list of individuals from which a sample is drawn
A type of statistical analysis
A way to visualize data

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In which scenario would a quota sample be most appropriate?

When the population is well-defined and accessible
When researchers want to ensure representation of specific characteristics
When random sampling is not feasible
When the sampling frame is unknown

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you calculate the response rate in a survey?

Total responses divided by total participants
Total responses divided by total surveys sent
Total surveys sent divided by total responses
Total participants divided by total surveys sent

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What distinguishes a stratified sample from a simple random sample?

Stratified samples include random selection from subgroups
Stratified samples are always larger
Stratified samples do not require a sampling frame
Stratified samples are less accurate

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