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Stat.Sampling

Total questions: 10

Worksheet time: 7mins

Name
Class
Date
1.

Ones in which members of the population have a known chance (probability) of being selected

a)

Probability Sampling

b)

Simple Random Sampling

c)

Systematic Sampling

d)

Stratified Sampling

2.

Is the entire group under study as defined by research objectives. Sometimes called the “universe.”

a)

sample

b)

census

c)

unit of analysis

d)

population

3.

A subset of the populations that should represent the entire group

(a)  

4.

Are instances in which the chances (probability) of selecting members from the population are unknown

a)

Convenience Sampling

b)

Probability Sampling

c)

Non Probability Sampling

d)

Simple Random Sampling

5.

the probability of being selected is “known and equal” for all members of the population

a)

simple random sampling

b)

Stratified sampling

c)

systematic sam[pling

d)

cluster sampling

6.

way to select a probability-based sample from a directory or list

a)

simple random sampling

b)

stratified sampling

c)

systematic sampling

d)

cluster sampling

7.

samples that require a judgment or an “educated guess” on the part of the interviewer as to who should represent the population

a)

convenience sampling

b)

judgment

c)

snowball

d)

quota sampling

8.

This method is used when the population distribution of items is skewed. It allows us to draw a more representative sample.

(a)  

9.

Using the slovin's formula for computing sample, how many will a researcher interview if the total population is 25000

(a)  

10.

(a)   is stratum share of the total sample is stratum share of total population