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Population, Sampling, and Sample

Authored by Rufels Catubay

Social Studies

12th Grade

Used 1+ times

Population, Sampling, and Sample
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40 questions

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1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

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

Media Image

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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