QUIZ 101

QUIZ 101

Professional Development

15 Qs

quiz-placeholder

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QUIZ 101

QUIZ 101

Assessment

Quiz

Other

Professional Development

Medium

Created by

Joewell Larida

Used 5+ times

FREE Resource

15 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

A part or subset of the population from which information is collected.

a). Population

b.) Sample

c.) Parameter

d.) Statistic

2.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

_____________ is a measurable characteristics of a population.

a.) Population

b.) Sample

c.) Parameter

d.) Statistic

3.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

All of the statements are true about PROBABILITY SAMPLING "except".

a.) Each unit has a nonzero probability of being selected or actually taken for the survey

b.) It reduces the risk of selection bias through random selection

c.) It allows researchers to focus on specific characteristics or groups within the population

d.) The probabilities of selection are used to make inferences to the population.

4.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Multistage Sampling is:

a.) a form of nonprobability sampling used in small surveys.

b.) it uses stratification and clustering, often with several stages

c.) sample units at a regular interval, based on random start

d.) useful when the target population is found in a small geographical area.

5.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

____________ occurs when the sample selected does not perfectly represent the population.

a.) Standard error

b.) Margin error

c.) Non-sampling error

d.) Sampling error

6.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Media Image

What type of sampling is used shown in the illustration?

a.) Simple Random Sampling

b.) Stratified Sampling

c.) Systematic Sampling

d.) Cluster Sampling

7.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

What type of sampling method is used?

Government employees of a certain agency may be divided by division, by age, by length of service, by position, etc.

a. Simple Random Sampling

b. Stratified Sampling

c. Systematic Sampling

d. Cluster Sampling

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