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CNSL 503 MODULE 1 Exam ||Verified Exam!!|| Most
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Select all the statements that are true about statistics:
A. statistics are used to organize and summarize data.
B. statistics are used to interpret information.
C. statistics allow inferences to be drawn about a sample
group
D. statistics must be handled responsibly - Answer-A, B, D
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--
Statistics allow data to be described and communicated
succinctly and concisely.
- Statistics allow inferences to be drawn about data,
particularly when it is not feasible to collect information
from all members of a certain group.
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- Statistics equip us with the necessary tools needed to
critically evaluate information.
What is data? - Answer-small or large sets of information
True of False: Statistics is used to prove claims. - Answer-
False
What are Variables? - Answer-Variables are measurable
characteristics that can vary in value.
My answer: Variables are different types of data in an
experiment (used to classify the type of data being
collected)
What type of scale is used when labeling or using
categories? - Answer-This would be qualitative data and
the SCALE would be nominal! Ex: blood type, college
majors, room numbers
True or false: it is generally feasible to collect data from
every member of a population - Answer-FALSE! unless the
target of a particular research study is comprised of a
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small population, it is usually not practical or sensible to
attempt to reach every member within a population
Which of the following are examples of ordinal variables?
Select all that apply.
- Shirt sizes
- college major
- places in a marathon (1st, 2nd, 3rd)
- Temperature - Answer--shirt sizes, places in a marathon
Explanation: ordinal is used for qualitative variables and
includes ranking in size or measure (does not indicate how
much the data differ)
When a variable can contain negative values, what type of
scale is most appropriate? Why? - Answer-An interval
scale because variables containing negative values do not
have an absolute zero. Note: this is quantitative data
When is it most appropriate to use a ratio scale? - Answer-
A ratio scale is used when a variable has an absolute zero
(Ex: height, weight, exam scores, GPA)
Note: this is quantitative data
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True or false: statistics are used to communicate results
but can be used to mislead individuals - Answer-TRUE!
Provide an example of quantitative variable and an
example of a qualitative variable - Answer-Quantitative Ex:
test scores, reaction time, error number, vital signs,
temperature
Qualitative Ex: sex, college major, eye color, blood type,
shirt size
How are sample and population related? - Answer-A
population includes every member within a particular
group, whereas a sample is a smaller subset of the given
population (used to represent the whole population)
True or false: discrete variables are counted as whole
numbers - Answer-TRUE! discrete variables are
quantitative variables that can be organized into separate
categories or counted using whole numbers. Ex: number
of patients in a hospital, pets in a home
CNSL 503 MODULE 1 Exam ||Verified Exam!!|| Most
Recent Exam Actual Complete Real Verified Exam
Questions And Correct Answers (Verified Answers)
Already Graded A+ | Guaranteed Success!! | Newest
Exam!!!
Select all the statements that are true about statistics:
A. statistics are used to organize and summarize data.
B. statistics are used to interpret information.
C. statistics allow inferences to be drawn about a sample
group
D. statistics must be handled responsibly - Answer-A, B, D
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--
Statistics allow data to be described and communicated
succinctly and concisely.
- Statistics allow inferences to be drawn about data,
particularly when it is not feasible to collect information
from all members of a certain group.
,2|Page
- Statistics equip us with the necessary tools needed to
critically evaluate information.
What is data? - Answer-small or large sets of information
True of False: Statistics is used to prove claims. - Answer-
False
What are Variables? - Answer-Variables are measurable
characteristics that can vary in value.
My answer: Variables are different types of data in an
experiment (used to classify the type of data being
collected)
What type of scale is used when labeling or using
categories? - Answer-This would be qualitative data and
the SCALE would be nominal! Ex: blood type, college
majors, room numbers
True or false: it is generally feasible to collect data from
every member of a population - Answer-FALSE! unless the
target of a particular research study is comprised of a
,3|Page
small population, it is usually not practical or sensible to
attempt to reach every member within a population
Which of the following are examples of ordinal variables?
Select all that apply.
- Shirt sizes
- college major
- places in a marathon (1st, 2nd, 3rd)
- Temperature - Answer--shirt sizes, places in a marathon
Explanation: ordinal is used for qualitative variables and
includes ranking in size or measure (does not indicate how
much the data differ)
When a variable can contain negative values, what type of
scale is most appropriate? Why? - Answer-An interval
scale because variables containing negative values do not
have an absolute zero. Note: this is quantitative data
When is it most appropriate to use a ratio scale? - Answer-
A ratio scale is used when a variable has an absolute zero
(Ex: height, weight, exam scores, GPA)
Note: this is quantitative data
, 4|Page
True or false: statistics are used to communicate results
but can be used to mislead individuals - Answer-TRUE!
Provide an example of quantitative variable and an
example of a qualitative variable - Answer-Quantitative Ex:
test scores, reaction time, error number, vital signs,
temperature
Qualitative Ex: sex, college major, eye color, blood type,
shirt size
How are sample and population related? - Answer-A
population includes every member within a particular
group, whereas a sample is a smaller subset of the given
population (used to represent the whole population)
True or false: discrete variables are counted as whole
numbers - Answer-TRUE! discrete variables are
quantitative variables that can be organized into separate
categories or counted using whole numbers. Ex: number
of patients in a hospital, pets in a home
