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Quiz on Random Sampling ang Sampling Distribution

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

A method of getting a sample by which every member of a population has an equal chance to be included.

a)

Random Sampling

b)

Non-random Sampling

c)

Sampling

d)

Sampling distribution

2.

A sampling technique by which every member of a population is selected with a random start.

a)

Lottery

Sampling

b)

Stratefied Sampling

c)

Systematic Sampling

d)

Cluster

Sampling

3.

In a survey, the samples were randomly taken from subsequent cities, then municipalities, then barangays, and then households. What kind of sampling technique was used?

a)

Systematic

b)

Multi-stage

c)

Cluster

d)

Stratefied

4.

What is the sample mean of the following random sample: 92, 95, 98?

a)

92

b)

93

c)

94

d)

95

5.

What is the sample in the given situation?

'A housewife buys a sack of rice. she examined only a handful of rice from the sack to find out whether it is of good quality or not.'

a)

sack of rice

b)

handful of rice

c)

rice of good quality

d)

rice bought by a housewife

6.

San Julian-Sta. Maria HS has a population of 705. The distribution by Grade Level are shown at the table on the left.

How many students from Grade 9 will be selected at random if the sample size is only 200 and the ratio of Grade 9 to the total number of enrollees is 0.2?

a)

24

b)

25

c)

26

d)

27

7.

A type of sampling technique wherein the population is classified into groups or strata based on some characteristics.

a)

Multi-stage

b)

Cluster

c)

Stratified

d)

Simple

8.

What do you call a sampling technique that is done using the combination of different sampling techniques?

a)

Systematic

b)

Cluster

c)

Multi-stage

d)

Stratefied

9.

It is a subset or a small group selected from a certain population either by random or non-random sampling.

a)

sample size

b)

sample

c)

population

d)

sampling

10.

Which of the following is an example of a non-random sampling?

a)

Lottery

Sampling

b)

Quota

Sampling

c)

Stratified

Sampling

d)

Cluster

Sampling