QUANTITATIVE RESEARCH TECHNIQUES
AND STATISTICS PEREGRINE ACTUAL
EXAM PAPER 2026 COMPLETE QUESTIONS
AND ANSWERS GRADED A+
⩥ What is the significance of zero in ratio scales? Answer: Zero means
there is none of the variable being measured.
⩥ How does the difference between categories in an ordinal scale affect
statistical analysis? Answer: The differences between adjacent categories
do not have the same meaning, limiting statistical analysis.
⩥ What does it mean for a variable to have a clear definition of zero?
Answer: It indicates that when the variable equals zero, there is none of
that variable present.
⩥ What is the impact of operationalizing and measuring variables on
research results? Answer: It significantly impacts the results and
conclusions drawn from the research.
⩥ What factors can impact a child's pre-literacy skills? Answer: Books
at home, time to read with parents, quality daycare, and nutrition.
,⩥ What is the Law of Large Numbers? Answer: A principle stating that a
large sample will probably be more representative than a small sample.
⩥ What is the significance of sample size in research? Answer: Larger
sample sizes tend to provide more accurate representations of the
population.
⩥ What is probability sampling? Answer: A sampling method where
each individual has an equal chance of being selected.
⩥ What is non-probability sampling? Answer: A sampling method where
the odds of selecting a particular individual are unknown.
⩥ What is simple random sampling? Answer: Participants are selected
randomly from a complete list of the population.
⩥ What is stratified random sampling? Answer: Dividing the population
into layers and randomly selecting from each layer.
⩥ What is proportionate stratified sampling? Answer: Sampling where
the proportions in the sample reflect the proportions in the population.
⩥ What is systematic sampling? Answer: Selecting participants by
starting at a random point and choosing every nth individual.
, ⩥ What is cluster sampling? Answer: Choosing one group to represent
the entire population, which can lead to bias.
⩥ What is the impact of sample size on representativeness? Answer:
Larger samples are generally more representative, but there are
diminishing returns.
⩥ What is the babies born in Hospital problem? Answer: An example
illustrating how variation is more common in smaller sample sizes.
⩥ What cognitive bias is illustrated by the coin flip example? Answer:
The representativeness heuristic, where people misjudge probabilities
based on perceived randomness.
⩥ What are the pros of stratified random sampling? Answer: Ensures
that each subgroup is equally represented in the sample.
⩥ What is a potential con of proportionate stratified sampling? Answer:
Some strata may have very small sample sizes, leading to inaccurate
representation.
⩥ What is the main concern with simple random sampling? Answer:
Small sample sizes may lead to distorted, non-representative samples.
AND STATISTICS PEREGRINE ACTUAL
EXAM PAPER 2026 COMPLETE QUESTIONS
AND ANSWERS GRADED A+
⩥ What is the significance of zero in ratio scales? Answer: Zero means
there is none of the variable being measured.
⩥ How does the difference between categories in an ordinal scale affect
statistical analysis? Answer: The differences between adjacent categories
do not have the same meaning, limiting statistical analysis.
⩥ What does it mean for a variable to have a clear definition of zero?
Answer: It indicates that when the variable equals zero, there is none of
that variable present.
⩥ What is the impact of operationalizing and measuring variables on
research results? Answer: It significantly impacts the results and
conclusions drawn from the research.
⩥ What factors can impact a child's pre-literacy skills? Answer: Books
at home, time to read with parents, quality daycare, and nutrition.
,⩥ What is the Law of Large Numbers? Answer: A principle stating that a
large sample will probably be more representative than a small sample.
⩥ What is the significance of sample size in research? Answer: Larger
sample sizes tend to provide more accurate representations of the
population.
⩥ What is probability sampling? Answer: A sampling method where
each individual has an equal chance of being selected.
⩥ What is non-probability sampling? Answer: A sampling method where
the odds of selecting a particular individual are unknown.
⩥ What is simple random sampling? Answer: Participants are selected
randomly from a complete list of the population.
⩥ What is stratified random sampling? Answer: Dividing the population
into layers and randomly selecting from each layer.
⩥ What is proportionate stratified sampling? Answer: Sampling where
the proportions in the sample reflect the proportions in the population.
⩥ What is systematic sampling? Answer: Selecting participants by
starting at a random point and choosing every nth individual.
, ⩥ What is cluster sampling? Answer: Choosing one group to represent
the entire population, which can lead to bias.
⩥ What is the impact of sample size on representativeness? Answer:
Larger samples are generally more representative, but there are
diminishing returns.
⩥ What is the babies born in Hospital problem? Answer: An example
illustrating how variation is more common in smaller sample sizes.
⩥ What cognitive bias is illustrated by the coin flip example? Answer:
The representativeness heuristic, where people misjudge probabilities
based on perceived randomness.
⩥ What are the pros of stratified random sampling? Answer: Ensures
that each subgroup is equally represented in the sample.
⩥ What is a potential con of proportionate stratified sampling? Answer:
Some strata may have very small sample sizes, leading to inaccurate
representation.
⩥ What is the main concern with simple random sampling? Answer:
Small sample sizes may lead to distorted, non-representative samples.
