
Population, Sampling, and Sample
Authored by Rufels Catubay
Social Studies
12th Grade
Used 1+ times

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40 questions
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1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
In the diagram showing a large group labeled Population, an arrow labeled Sampling points to a smaller group labeled Sample. What does the arrow represent in statistical studies?
Choosing a few representative members from the entire group
Counting every member of the entire group
Eliminating outliers after data collection
Predicting future trends without data
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which statement best describes the relationship among Population, Sampling, and Sample as illustrated?
A sample becomes the population through sampling
Sampling selects a subset (sample) from the larger population
Population is a subset of the sample chosen by sampling
Sampling increases the size of the population
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which two main categories are presented under types of purposive sampling?
Random and Systematic
Probability and Non-probability
Stratified and Cluster
Quota and Snowball
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Refer to the side-by-side dot grids comparing sampling approaches. Which grid most likely represents probability sampling?
The grid where selected dots are dispersed across the frame
The grid where selected dots form a concentrated cross-shaped cluster
Both grids represent probability sampling equally
Neither grid represents probability sampling
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which of the following is NOT listed as a type of probability sampling in the material?
Simple Random Sampling
Stratified Sampling
Systematic Sampling
Cluster Sampling
Convenience Sampling
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Choose the technique that groups the population into strata before sampling.
Stratified Sampling
Systematic Sampling
Cluster Sampling
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which statement best describes simple random sampling?
Selecting elements based on prior knowledge of the population
Ensuring every element has an equal chance of being selected
Choosing only elements that are easiest to reach
Dividing the population into groups before sampling
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