Step 1: Define random sampling methods.
Random sampling methods are those that select participants from a population in such a way that each individual has an equal chance of being chosen.
Step 2: Evaluate each sampling method.
(A) Snowball sampling – This is a non-random sampling method, where participants are selected based on referrals from other participants.
(B) Cluster sampling – A random sampling method where the population is divided into groups (clusters), and then a random sample of these clusters is selected.
(C) Convenience sampling – This is a non-random method where participants are selected based on their availability or convenience.
(D) Stratified sampling – A random method where the population is divided into strata based on certain characteristics, and a random sample is taken from each stratum.
Conclusion: Cluster and Stratified sampling are random sampling methods.
Here are two analogous groups, Group-I and Group-II, that list words in their decreasing order of intensity. Identify the missing word in Group-II.
Abuse \( \rightarrow \) Insult \( \rightarrow \) Ridicule
__________ \( \rightarrow \) Praise \( \rightarrow \) Appreciate
In the following figure, four overlapping shapes (rectangle, triangle, circle, and hexagon) are given. The sum of the numbers which belong to only two overlapping shapes is ________