sampling methods

Question 1

is a way of selecting individual members or a subset of the
population to make statistical inferences from them and
estimate characteristics of the whole population.

Answer 1

Sampling Methods

Question 2

is the entire group that you want to draw
conclusions about.

Answer 2

The population

Question 2

is the specific group of individuals that you will
collect data from.

Answer 2

The sample

Question 3

involves non-random
selection based on convenience or other criteria,
allowing you to easily collect data. It is often used in
exploratory and qualitative research

Answer 3

Non-probability sampling

Question 3

means that every member of the
population has a chance of being selected. It is mainly
used in quantitative research.

Answer 3

Probability sampling

Question 4

• every member of the population has an equal chance of being selected. Your sampling frame
  should include the whole population. Two ways of simple random sampling: lottery or fishbowl technique and table of
  random numbers.

Answer 4

simple randomsample

Question 5

• is similar to simple random sampling, but it is usually slightly easier to conduct. Every member
  of the population is listed with a number, but instead of randomly generating numbers, individuals are chosen at
  regular intervals

Answer 5

Systematic sampling -

Question 6

involves dividing the population into subgroups, but each subgroup should have similar
characteristics to the whole sample. Sometimes referred to as “area sampling

Answer 6

Cluster Sampling

Question 8

to use this sampling method, divide the population into subgroups (called strata) based
on the relevant characteristic (e.g. gender, age range, income bracket, job role).

Answer 8

Stratified Random Sampling

Question 9

Probability Sampling Techniques

Answer 9

SIMPLE RANDOM SAMPLE

SYSTEMIC SAMPLING

CLUSTER SAMPLING

STRATIFIED RANDOM SAMPLING