CNSL 503 MODULE 1 TEST PAPER 2026 FULL
QUESTIONS AND ANSWERS ALREADY PASSED
◉ 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.
QUESTIONS AND ANSWERS ALREADY PASSED
◉ 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.
