CBAD - Statistics: Questions With Verifiable Answers
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Teacher 78 terms 42 terms 69 terms
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Terms in this set (199)
Chapter 1: is a set of tools which helps organizing, presenting information,
Statistics and extracting meaning from raw data.
Chapter 1: data science
Some experts prefer to call
statistics...
Chapter 1: a trilogy of tasks involving data modeling, analysis, and decision
Data science making.
Chapter 1: is a single measure, reported as a number, used to summarize a
Statistic sample data set
refers to the collection, organization, presentation, and summary
Chapter 1:
of data (either using charts and graphs or using a numerical
Descriptive statistics
summary).
refers to generalizing from a sample to a population, estimating
Chapter 1:
unknown population parameters, drawing conclusions, and
Inferential statistics
making decisions.
Chapter 1: ethics, personal integrity
Surveys of corporate recruiters
show that ______ and _________________
rank high on their list of hiring
criteria.
Chapter 1: language
The specialized vocabulary of
statistics crosses __________ barriers
to improve problem solving for
multinational businesses.
Chapter 1: True
True or False: There are
generally accepted statistical
methods for dealing with
missing data and unusual data.
Chapter 1: accurately reporting information, identifying degrees of
Which of the following are uncertainty
responsibilities of a data
analyst?
Chapter 1: True
True or False: Successful
businesses expect their
employees to have some
knowledge of statistics.
,Chapter 1: False
True or False: Business
managers want to see detailed
numerical explanations in
technical reports.
Chapter 1: True
True or False: Statistics support
critical thinking by helping one
identify illogical conclusions or
to see holes in another's
argument.
Chapter 1: Assuming A Causal Link
Which statistical pitfall does the
following statement match?
People who belong to health
clubs tend to have college
degrees therefore exercise
increases your IQ
Chapter 1: sources of data inaccuracy, conflicts of interest, policies on
A company code of ethics confidentiality
addresses things such as (check
all that apply)
Chapter 1: marketing
Identifying repeat customers
Chapter 1: auditing
A sample of errors from invoice
statements
Chapter 1: operations management
Distribution of inventory items in
a big box store
Chapter 1: finance
Risk assessment of an
investment
Chapter 1: maintain data integrity, know and follow accepted procedures,
Which of the following are rules protect confidential information
for a data analyst?
Chapter 1: descriptive
Collecting, organizing and
summarizing a particular data
set are known as __________
statistics.
Prof. Stats randomly selects 50 female students at State
Chapter 1: University to estimate the average height of all female students at
Which of the following are State.
examples of inferential
statistics? A manufacturer of light bulbs randomly selects 100 light bulbs to
test the longevity of all light bulbs that the company produces.
Chapter 2: consists of all the values of all of the variables for all of the
Data set observations we have chosen to observe.
Chapter 2: Use random numbers to select items from a list (Visa
Simple Random Sample (and cardholders).
example)
Chapter 2: Select every kth item from a list or sequence (restaurant
Systematic Sample customers).
Chapter 2: Select randomly within defined strata (by age, occupation,
Stratified Sample gender).
, Chapter 2: Select random geographical regions (e.g., zip codes) that
Cluster Sample represent the population.
Chapter 2: The number of pizzas ordered from Pizza Hut per day.
Which of the following
characteristics of interest is a
variable?
the monthly Consumer Confidence Index for the past three
Chapter 2:
years.
Which of the following are
examples of time series data?
average annual credit card debt over the past decade.
is a single member of a collection of items that we want to study,
Chapter 2:
such as a person, firm, or region. An example of an observation is
Observation
an employee or an invoice mailed last month.
Chapter 2: is a characteristic of the subject or individual, such as an
Variable employee's income or an invoice amount.
Chapter 2: consists of all the values of all of the variables for all of the
Data Set observations we have chosen to observe.
usually are entered into a spreadsheet or database as an n × m
Chapter 2:
matrix. Specifically, each column is a variable (m columns) and
Data
each row is an observation (n rows).
have values that are described by words rather than numbers.
Chapter 2:
Categorical data (also called For example... Diners at a restaurant are asked to rate the food
qualitative data) based on the following scale, excellent, good, average, below
average, poor.
On occasion the values of the categorical variable might be
Chapter 2: represented using numbers (a database might code payment
Coding (Example) methods using numbers:
1 = cash 2 = check 3 = credit/debit card 4 = gift card).
Some categorical variables have only two values (employment
status, employed or unemployed, mutual fund type, load or no-
Chapter 2:
load), and marital status, currently married or not currently
Binary Variable (example)
married...Binary variables are often coded using a 1 or 0. a
variable such as gender could be coded as: 1 = female 0 = male).
arise from counting, measuring something, or some kind of
Chapter 2: mathematical operation. For example, we could count the
Numerical data (also called number of auto insurance claims filed in March (e.g., 114 claims)
quantitative data)... example or sales for last quarter (e.g., $4,920), or we could measure the
amount of snowfall over the last 24 hours (e.g., 3.4 inches).
Chapter 2: Cross sectional data
If each observation represents a
different individual unit (like a
person, firm, geographic area) at
the same point in time, we have
Chapter 2: social security numbers, specialty sandwich names at a fast food
Which of the following are restaurant, designating males as 1 and females as 2 to compare
examples of the nominal scale? gender performance on an aptitude test.
Chapter 2: no clear meaning to differences between the ranked values
A significant weakness of the
ordinal scale is...
Chapter 2: many Likert scales, a golfer's score relative to par
Which of the following are
examples of the interval scale of
measurement?
Save
Students also studied
Perio Study DENT 475 - Implant components NBDE II Review - Pro
Teacher 78 terms 42 terms 69 terms
Hunter_Charters Preview gillphil Preview melissa_jarvis7
Terms in this set (199)
Chapter 1: is a set of tools which helps organizing, presenting information,
Statistics and extracting meaning from raw data.
Chapter 1: data science
Some experts prefer to call
statistics...
Chapter 1: a trilogy of tasks involving data modeling, analysis, and decision
Data science making.
Chapter 1: is a single measure, reported as a number, used to summarize a
Statistic sample data set
refers to the collection, organization, presentation, and summary
Chapter 1:
of data (either using charts and graphs or using a numerical
Descriptive statistics
summary).
refers to generalizing from a sample to a population, estimating
Chapter 1:
unknown population parameters, drawing conclusions, and
Inferential statistics
making decisions.
Chapter 1: ethics, personal integrity
Surveys of corporate recruiters
show that ______ and _________________
rank high on their list of hiring
criteria.
Chapter 1: language
The specialized vocabulary of
statistics crosses __________ barriers
to improve problem solving for
multinational businesses.
Chapter 1: True
True or False: There are
generally accepted statistical
methods for dealing with
missing data and unusual data.
Chapter 1: accurately reporting information, identifying degrees of
Which of the following are uncertainty
responsibilities of a data
analyst?
Chapter 1: True
True or False: Successful
businesses expect their
employees to have some
knowledge of statistics.
,Chapter 1: False
True or False: Business
managers want to see detailed
numerical explanations in
technical reports.
Chapter 1: True
True or False: Statistics support
critical thinking by helping one
identify illogical conclusions or
to see holes in another's
argument.
Chapter 1: Assuming A Causal Link
Which statistical pitfall does the
following statement match?
People who belong to health
clubs tend to have college
degrees therefore exercise
increases your IQ
Chapter 1: sources of data inaccuracy, conflicts of interest, policies on
A company code of ethics confidentiality
addresses things such as (check
all that apply)
Chapter 1: marketing
Identifying repeat customers
Chapter 1: auditing
A sample of errors from invoice
statements
Chapter 1: operations management
Distribution of inventory items in
a big box store
Chapter 1: finance
Risk assessment of an
investment
Chapter 1: maintain data integrity, know and follow accepted procedures,
Which of the following are rules protect confidential information
for a data analyst?
Chapter 1: descriptive
Collecting, organizing and
summarizing a particular data
set are known as __________
statistics.
Prof. Stats randomly selects 50 female students at State
Chapter 1: University to estimate the average height of all female students at
Which of the following are State.
examples of inferential
statistics? A manufacturer of light bulbs randomly selects 100 light bulbs to
test the longevity of all light bulbs that the company produces.
Chapter 2: consists of all the values of all of the variables for all of the
Data set observations we have chosen to observe.
Chapter 2: Use random numbers to select items from a list (Visa
Simple Random Sample (and cardholders).
example)
Chapter 2: Select every kth item from a list or sequence (restaurant
Systematic Sample customers).
Chapter 2: Select randomly within defined strata (by age, occupation,
Stratified Sample gender).
, Chapter 2: Select random geographical regions (e.g., zip codes) that
Cluster Sample represent the population.
Chapter 2: The number of pizzas ordered from Pizza Hut per day.
Which of the following
characteristics of interest is a
variable?
the monthly Consumer Confidence Index for the past three
Chapter 2:
years.
Which of the following are
examples of time series data?
average annual credit card debt over the past decade.
is a single member of a collection of items that we want to study,
Chapter 2:
such as a person, firm, or region. An example of an observation is
Observation
an employee or an invoice mailed last month.
Chapter 2: is a characteristic of the subject or individual, such as an
Variable employee's income or an invoice amount.
Chapter 2: consists of all the values of all of the variables for all of the
Data Set observations we have chosen to observe.
usually are entered into a spreadsheet or database as an n × m
Chapter 2:
matrix. Specifically, each column is a variable (m columns) and
Data
each row is an observation (n rows).
have values that are described by words rather than numbers.
Chapter 2:
Categorical data (also called For example... Diners at a restaurant are asked to rate the food
qualitative data) based on the following scale, excellent, good, average, below
average, poor.
On occasion the values of the categorical variable might be
Chapter 2: represented using numbers (a database might code payment
Coding (Example) methods using numbers:
1 = cash 2 = check 3 = credit/debit card 4 = gift card).
Some categorical variables have only two values (employment
status, employed or unemployed, mutual fund type, load or no-
Chapter 2:
load), and marital status, currently married or not currently
Binary Variable (example)
married...Binary variables are often coded using a 1 or 0. a
variable such as gender could be coded as: 1 = female 0 = male).
arise from counting, measuring something, or some kind of
Chapter 2: mathematical operation. For example, we could count the
Numerical data (also called number of auto insurance claims filed in March (e.g., 114 claims)
quantitative data)... example or sales for last quarter (e.g., $4,920), or we could measure the
amount of snowfall over the last 24 hours (e.g., 3.4 inches).
Chapter 2: Cross sectional data
If each observation represents a
different individual unit (like a
person, firm, geographic area) at
the same point in time, we have
Chapter 2: social security numbers, specialty sandwich names at a fast food
Which of the following are restaurant, designating males as 1 and females as 2 to compare
examples of the nominal scale? gender performance on an aptitude test.
Chapter 2: no clear meaning to differences between the ranked values
A significant weakness of the
ordinal scale is...
Chapter 2: many Likert scales, a golfer's score relative to par
Which of the following are
examples of the interval scale of
measurement?
