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Stats&Prob

Total questions: 20

Worksheet time: 8mins

Name
Class
Date
1.

A term refers to the technique where each member of the popuation has an equal chnace of being selected. It is the most unbiased method of sampling.

a)

Stratified sampling

b)

Systematic sampling

c)

Simple random sampling

d)

Purposive sampling

2.

It is a random sampling technique which considers every nth element of the population in the sample.

a)

Stratified sampling

b)

Systematic sampling

c)

Simple random sampling

d)

Cluster sampling

3.

This type of probability sampling refers to the population that was being divided into groups called clusters.

a)

stratified sampling

b)

Cluster sampling

c)

Simple random sampling

d)

Systematic random sampling

4.

This type of sampling technique is also called as haphazard sampling. Implies that this sampling procedure is carried out on the matter of convenience or ease of implementation.

a)

Conveniece Sampling

b)

Purposive Sampling

c)

Snowball sampling

d)

Quota Sampling

5.

This sampling technique is done with a purpose in mind and also called as judgemental or selective sampling.

a)

Quota sampling

b)

Snowball sampling

c)

Convenience sampling

d)

Purposive sampling

6.

This sampling technique is sometimes called as chain-referral sampling. The researcher chooses a possible respondent for the study at hand.

a)

Purposive sampling

b)

Quota sampling

c)

Convenience sampling

d)

Snowball sampling

7.

It is the equivalent of stratified random sampling in terms of nonprobability sampling. Researchers starts identifying quotas, which are predefined control categories such as age, gender, education, or religion.

a)

Convenience sampling

b)

Purposive sampling

c)

Quota sampling

d)

Snowball sampling

8.

The term pertains to the totality of obeservations or elements from a set of data.

a)

data statistics

b)

population

c)

sample

d)

parameter

9.

One or more elements taken from the population for specific purpose.

a)

Sample

b)

Population standard deviation

c)

parameter

d)

statistics

10.

It refers to the numerical description of the sample.

a)

Statistic

b)

Parameter

c)

Population

d)

Sample

11.

It is the division of a population into smaller subgroups knwon as strata.

a)

Cluster sampling

b)

Stratified sampling

c)

Snowball sampling

12.

It is the process of selecting units from a population using a subjective approach.

a)

Non-probability sampling

b)

probability sampling

c)

discrete sampling

d)

continuous sampling

13.

Each member of the population has own probability of being selcted in the sampling.

a)

non-probability sampling

b)

probability sampling

c)

discrete sampling

d)

continuous sampling

14.

It refers to the set of values possible for a given random variable.

a)

Range space

b)

Random variable

c)

Continuous random variable

d)

Discrete random variable

15.

Assumes an infinite number of possible values including decimals between two counting numbers, "measurements."

a)

continuous random variable

b)

discrete random variable

c)

parameter

d)

statistics

16.

This sampling method involves selecting individuals based on specific characteristics or criteria set by the researcher.

a)

Cluster sampling

b)

Systematic sampling

c)

Simple random sampling

d)

Purposive sampling

17.

This term describes a subset of the population that is used to represent the entire group in statistical analysis.

a)

Parameter

b)

Statistic

c)

Population

d)

Sample

18.

This type of sampling technique is used when the population is divided into distinct groups, and samples are taken from each group.

a)

Convenience sampling

b)

Simple random sampling

c)

Stratified sampling

d)

Cluster sampling

19.

The tails of the curve flatten out definitely along the horizontal axis, always approaching the axis but ever touching it.

a)
True
b)
False
20.

The area under the curve is 1. Thus, it represents the probability or proportion or percentage associated with specific sets of meassurement values.

a)
True
b)
False