CNSL 503 - MODULE 1 WITH
COMPLETE SOLUTIONS
What are statistics? - ANSWER-Statistics encompass the mathematical field that
allows us to organize, summarize, describe, and interpret different forms of
information.
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
Why is it important that extraneous variables be taken into account in an
experimental study? - ANSWER-Extraneous variables may have an effect on the
dependent variable and could skew the results of an experiment.
What is an ordinal scale of measure - ANSWER-Used to describe qualitative
variables, provide both categorical information as well as rank by size or measure
What is a nominal scale of measure - ANSWER-Used to describe qualitative
variables, provides only categorical information
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.
COMPLETE SOLUTIONS
What are statistics? - ANSWER-Statistics encompass the mathematical field that
allows us to organize, summarize, describe, and interpret different forms of
information.
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
Why is it important that extraneous variables be taken into account in an
experimental study? - ANSWER-Extraneous variables may have an effect on the
dependent variable and could skew the results of an experiment.
What is an ordinal scale of measure - ANSWER-Used to describe qualitative
variables, provide both categorical information as well as rank by size or measure
What is a nominal scale of measure - ANSWER-Used to describe qualitative
variables, provides only categorical information
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.
