PAB5128 MCQ

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

Which of the following is a categorical variable?

• Crop yield (kg)

• Soil pH

• Type of irrigation method used

• Temperature (°C)

• Number of trees per hectare

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

What kind of variable is “number of farm animals”?

• Categorical

• Continuous

• Ordinal

• Discrete

• Nominal

Which data collection method is most appropriate for gathering first-hand, observable behavior?

• Literature review

• Questionnaire

• Interview

• Focus group

• Field observation

What is an ordinal variable?

• A variable measured with random numbers

• A variable with categories that have a meaningful order

• A numerical variable without units

• A categorical variable with no ranking

• A variable that changes with seasons

A study measuring household income levels as: low, medium, high, is using what type of scale?

• Ratio

• Ordinal

• Nominal

• Discrete

• Interval

What is a sampling frame?

• A statistical software tool

• A method of sampling large populations

• A physical or digital list of all population units from which the sample is drawn

• The range of confidence intervals

• A visual plot of population characteristics

Which of the following is a continuous variable?

• Number of crops grown

• Type of soil

• Tree height in meters

• Level of satisfaction (Likert scale)

• Gender

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