COMPREHENSIVE TEST SCRIPT 1 2026 FULL
QUESTIONS AND CORRECT ANSWERS
GRADED A+
●● Name 3 reasons why statistics are important
Answer: 1. Statistics allow data to be described and communicated
succinctly and concisely.
2. Statistics allow inferences to be drawn about data, particularly when it
is not feasible to collect information from all members of a certain
group.
3. Statistics equip us with the necessary tools needed to critically
evaluate information.
●● Qualitative variables
Answer: Variables measured in non-numerical terms, using categories or
labels
●● Quantitative variables
Answer: Variables measured in numerical terms
●● Discrete variables
, Answer: Those that hold discrete values, such that they can be organized
into separate categories or counted using whole numbers
●● Continuous variables
Answer: Variables that can theoretically be broken down into infinitely
smaller, fractional components
●● Name at least 3 examples of qualitative variables
Answer: One's religion, ethnicity, eye color, and career
●● Name at least 3 examples of quantitative variables
Answer: Weight, height, heart rate, and test scores
●● Describe the important variables involved in an experimental study
Answer: The variable that is manipulated in an experiment is known as
the independent variable, and the variable that is measured for any
observable effect is known as the dependent variable. A control variable
is a variable that remains unchanged throughout the experiment.
Extraneous, or confounding, variables include any variables that could
unintentionally affect the dependent variable.
●● Suppose you want to study the effects of a genetically modified diet
on the weight of dogs.