
PAB5128 MCQ
Authored by Felipe Quiroz
Education
University
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60 questions
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1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is the primary purpose of sampling in research?
To avoid using statistics
To make conclusions without data
To gather data from the entire population
To study a manageable subset representing a population
To reduce the number of variables
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What is the key feature of a random sample?
It includes only the most accessible participants
Every member of the population has an equal chance of being selected
It targets a specific subgroup intentionally
It includes all members of the population
It requires very large sample sizes
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which data collection method is most appropriate for gathering first-hand, observable behavior?
Literature review
Questionnaire
Interview
Focus group
Field observation
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
A study measuring household income levels as: low, medium, high, is using what type of scale?
Ratio
Ordinal
Nominal
Discrete
Interval
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
You test crop yield under 3 fertilisers (Organic/Synthetic/Compost) and 2 irrigation methods (Drip/Sprinkler). Two-way ANOVA results: Fertiliser p=0.20, Irrigation p=0.03, Interaction p=0.01. Which interpretation is most appropriate?
Only irrigation matters; fertiliser never matters
Only fertiliser matters; irrigation never matters
Fertiliser effects differ by irrigation method
No effects are present in the model
Use multiple t-tests instead of ANOVA
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What distinguishes cluster sampling from stratified sampling?
Cluster sampling uses entire groups as samples
Stratified sampling selects units randomly from clusters
Cluster sampling requires the full population list
Stratified sampling never requires grouping
Cluster and Stratified sampling requires the full population list
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
In what situation would purposive sampling be used?
When resources allow for full population coverage
When targeting specific key informants or experts
When every unit has equal selection chance
For measuring rainfall data
When sample size must be large
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