3 I's Week 7 - Evaluation (2024)

3 I's Week 7 - Evaluation (2024)

12th Grade

5 Qs

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 3 I's Week 7 - Evaluation (2024)

3 I's Week 7 - Evaluation (2024)

Assessment

Quiz

Other

12th Grade

Hard

Created by

Andrea Lampas-Springer

Used 1+ times

FREE Resource

5 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What do you call a complete list of all cases in the population from which the sample is drawn?

Population

Sample

Sampling Frame

Sampling Technique

2.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Which of the following statements is TRUE about the determination of samples in quantitative research?

  1. The sample size must be statistically accurate.

Sample size depends on the researcher’s decision.

The sample size needs to cover all elements in the population.

  1. The sample size must not exceed 100 participants regardless of population size.

3.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Which of the following scenario is an example of stratified random sampling?

  1. The teacher randomly picks students’ names through index cards for recitation.

The owner of the store decided to randomly pick five employees to win the Christmas prizes.

The vlogger randomly selects two students in every section of a certain school to include in his vlog.

The private organization randomly selected one school in Cavite and all the students at the selected schools were given school supplies.

4.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

In a certain public school in Dasmariñas, Cavite, the researcher picked his sample using draw lots where all the names of the students are placed in one box. What type of probability sampling technique was used in the scenario?

Cluster Sampling

Stratified Random Sampling

Simple Random Sampling

Systematic Sampling

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A method of probability sampling in which the researcher selects groups at random from an ensemble and then considers the population for each chosen group to participate in the sample.

Cluster Sampling

Simple Random Sampling

Stratified Random Sampling

Systematic Sampling