CNSL 503 MOD 4 PROFESSIONAL ASSESSMENT TEST UPDATED ACTUAL EXAM
QUESTIONS CORRECT ANSWERS GRADED A PLUS
CNSL 503 MOD 4 Professional Assessment TEST
2026/2027 Questions and Answers Verified Solutions
Latest Update
Question:
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.
Question:
Qualitative variables.
Answer:
Variables measured in non-numerical terms, using categories or labels
Question:
Quantitative variables.
Answer:
Variables measured in numerical terms
Question:
Discrete variables.
Answer:
Those that hold discrete values, such that they can be organized into separate categories or counted
using whole numbers
, Question:
Continuous variables.
Answer:
Variables that can theoretically be broken down into infinitely smaller, fractional components
Question:
Name at least 3 examples of qualitative variables.
Answer:
One's religion, ethnicity, eye color, and career
Question:
Name at least 3 examples of quantitative variables.
Answer:
Weight, height, heart rate, and test scores
Question:
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.
Question:
Suppose you want to study the effects of a genetically modified diet on the weight of dogs. Give at
least 3 examples of extraneous variables. Explain why the variables are extraneous. Why is
important to identify extraneous variables in an experimental study?
QUESTIONS CORRECT ANSWERS GRADED A PLUS
CNSL 503 MOD 4 Professional Assessment TEST
2026/2027 Questions and Answers Verified Solutions
Latest Update
Question:
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.
Question:
Qualitative variables.
Answer:
Variables measured in non-numerical terms, using categories or labels
Question:
Quantitative variables.
Answer:
Variables measured in numerical terms
Question:
Discrete variables.
Answer:
Those that hold discrete values, such that they can be organized into separate categories or counted
using whole numbers
, Question:
Continuous variables.
Answer:
Variables that can theoretically be broken down into infinitely smaller, fractional components
Question:
Name at least 3 examples of qualitative variables.
Answer:
One's religion, ethnicity, eye color, and career
Question:
Name at least 3 examples of quantitative variables.
Answer:
Weight, height, heart rate, and test scores
Question:
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.
Question:
Suppose you want to study the effects of a genetically modified diet on the weight of dogs. Give at
least 3 examples of extraneous variables. Explain why the variables are extraneous. Why is
important to identify extraneous variables in an experimental study?
