1. Structured thinking involves
which of the following processes? Select all that apply.
Answers
·
Revealing gaps and opportunities
·
Recognizing the current problem or situation
·
Organizing available information
·
Asking
SMART questions
Explanation: Processes like organizing
information, seeing patterns, and rationally structuring ideas are common
examples of structured thinking. It contributes to the presentation of concepts
in a way that is coherent and unmuddled. Consequently, you have to give some
thought to picking alternatives such as structuring the facts and locating
patterns.
2.
A data analyst creates data visualizations and a slideshow. Which phase of the
data analysis process does this describe?
Answers
·
Prepare
·
Act
·
Share
·
Process
Explanation: During the
"Communicate" step of the data analysis process, the process of
creating data visualizations as well as a slideshow is often performed. The
following phase, after data collection, cleansing, and analysis, is to
effectively convey the results to the appropriate parties. Data visualizations
and presentations are strong tools that may be used to communicate findings to
a larger audience in a manner that is both understandable and convincing. The
"Communicate" step is where the solution lies, as a result.
3.
A recycling center that sponsors a podcast about saving the environment is an
example of what strategy?
Answers
·
Defining
the problem to be solved
·
Making
recommendations
·
Staying
on budget
·
Trying to reach a target audience
Explanation: It seems like a corporate
social responsibility (CSR)-aligned marketing or promotional plan would look
something like this. A podcast that raises people's awareness about
environmental issues is being supported by a recycling center in addition to
the recycling that is the center's principal commercial activity. This is
consistent with a larger strategy of donating to social and environmental
concerns, which has the potential to improve the company's brand image and
demonstrates a commitment to sustainability.
4.
A data analyst is working for a local power company. Recently, many new
apartments have been built in the community, so the company wants to determine
how much electricity it needs to produce for the new residents in the future. A
data analyst uses data to help the company make a more informed forecast. This
is an example of which problem type?
Answers
·
Spotting
something unusual
·
Discovering
connections
·
Making predictions
·
Identifying
themes
Explanation: It seems like a corporate
social responsibility (CSR)-aligned marketing or promotional plan would look
something like this. A podcast that raises people's awareness about
environmental issues is being supported by a recycling center in addition to
the recycling that is the center's principal commercial activity. This is
consistent with a larger strategy of donating to social and environmental
concerns, which has the potential to improve the company's brand image and
demonstrates a commitment to sustainability.
5.
Describe the key difference between the problem types of categorizing things
and identifying themes.
Answers
·
Categorizing
things involves determining how items are different from each other.
Identifying themes brings different items back together in a single group.
·
Categorizing
things involves assigning grades to items. Identifying themes involves creating
new classifications for items.
·
Categorizing
things involves taking inventory of items. Identifying themes deals with
creating labels for items.
·
Categorizing things involves assigning items to categories.
Identifying themes takes those categories a step further, grouping them into
broader themes.
Explanation: The process of putting
things into distinct categories according to common qualities or criteria is
what we mean when we talk about categorizing things. Developing unique and
distinct classifications for the various components is an important part of this
process. For instance, sorting fruits according to their categories or
classifying books according to the genres they belong to.
On the
other hand, detecting underlying patterns, concepts, or repeating ideas that
link a number of different aspects is a necessary step in the process of
identifying themes. It is more important to have a knowledge of the recurring
themes or ideas that are present across the many bits of information. For
instance, finding themes in a collection of articles may require recognizing
reoccurring concepts or concerns, even if the articles belong to various
categories. This is true even if the articles are discussing completely
unrelated topics.
6.
Which of the following examples are leading questions? Select all that apply.
Answers
·
What do you enjoy most about our service?
·
How
did you learn about our company?
·
In what ways did our product meet your needs?
·
How satisfied were you with our customer representative?
7. The question, “Why don’t our
employees complete their timesheets each Friday by noon?” is not
action-oriented. Which of the following questions are action-oriented and more
likely to lead to change? Select all that apply.
Answers
·
What functionalities would make our timesheet
web page more user-friendly?
·
What features could we add to our calendar app
as a weekly timesheet reminder to employees?
·
How could we simplify the time-keeping process
for our employees?
·
Why
don’t employees prioritize filling out their timesheets by noon on Fridays?
8.
On a customer service questionnaire, a data analyst asks, “If you could contact
our customer service department via chat, how much valuable time would that
save you?” Why is this question unfair?
Answers
·
It
is closed-ended
·
It
uses slang words that not everyone can understand
·
It
is vague
·
It makes assumptions
Explanation: This
question might be considered unfair since it presupposes a favorable conclusion
without taking into account any of the possible downsides or difficulties that
could arise. It presents the usage of chat as a beneficial alternative, but
does not investigate the real preferences or experiences of the client. The
wording gives the impression that communicating with customer support via chat
will necessarily save significant time for the consumer, which might possibly
lead to replies that are prejudiced or slanted.
Shuffle Q/A 1
9. Organizing available information and revealing gaps and
opportunities are part of what process?
Answer
·
Identifying
connections between two or more things
·
Categorizing
things
·
Using
structured thinking
·
Applying
the SMART methodology
Explanation: The procedure to which you
are referring is generally included as a component of the "Analysis"
phase of a number of different problem-solving or decision-making procedures.
The existing condition of things may be better understood, trends can be shown,
and gaps or chances for improvement can be identified when the information that
is already accessible is organized. Before making educated judgments or taking
actions based on the studied data, it is necessary to complete this stage
first.
10.
The share phase of the data analysis process typically involves which of the
following activities? Select all that apply.
Answer
·
Summarizing results using data visualizations
·
Communicating findings
·
Creating a slideshow to present to
stakeholders
·
Putting
analysis into action to solve a problem
11. A company wants to make more
informed decisions regarding next year’s business strategy. An analyst uses
data to help identify how things will likely work out in the future. This is an
example of which problem type?
Answer
·
Making predictions
·
Spotting
something unusual
·
Identifying
themes
·
Discovering
connections
Explanation: Your scenario, in which an
analyst utilizes data to determine how things are likely to play out in the
future, is an example of the sort of issue known as "Predictive
Analysis" or "Forecasting." Both of these terms refer to the
same thing. In the context of this discussion, the objective is to draw
conclusions about potential future outcomes based on previous facts and
patterns. This kind of analysis is useful for strategic planning and
decision-making since it enables a firm to forecast impending trends and make
more well-informed decisions on how to approach the business strategy for the
following year.
12.
Fill in the blank: Categorizing things involves assigning items to categories,
whereas _____ takes those categories a step further, grouping them into broader
classifications.
Answer
·
Making
predictions
·
Finding
patterns
·
Discovering
connections
·
Identifying themes
Explanation: Taking those categories
one step further and organizing them into bigger categories is what we mean
when we talk about identifying themes.
13.
Questions that make assumptions often involve concepts that are formed without
evidence. An example of this is an idea that is accepted as true without proof.
Answer
·
True
·
False
Explanation: Without a doubt, the terms
"presumption" and "assumption" are often used to refer to a
notion that is accepted as true without providing any evidence. Questions that
make assumptions have a greater potential to be biased or to steer respondents
toward a certain response because they indicate certain views or concepts. When
doing investigations and research, it is essential to be conscious of these
presumptions and to work towards impartiality.
14.
A garden center wants to attract more customers. A data analyst in the
marketing department suggests advertising in popular landscaping magazines.
This is an example of what practice?
Answer
·
Reaching your target audience
·
Collecting
customer information
·
Monitoring
social media feedback
·
Developing
a data analytics case study
Explanation: This is an illustration of
a method of decision-making that is driven by facts. Based on their examination
of the problem, the data analyst has developed a plan for marketing the company
that involves placing advertisements in famous landscaping publications. They
most likely investigated data or information to determine prospective paths for
drawing new clients, and advertising in landscaping publications is the
probable answer that they identified as being the best option. This highlights
how data analysis may be integrated into the decision-making process to better
inform corporate initiatives.
15.
Categorizing things involves assigning items to categories. Identifying themes
takes those categories a step further, grouping them into broader themes or
classifications.
Answer
·
True
·
False
Explanation: You have done a wonderful
job of articulating it! Identifying themes requires detecting greater patterns
or categories that link the several groups that have been categorized, while
categorizing things entails placing them into particular groupings. It is a
process that progresses from a more particular classification to a more general
and abstract comprehension of the notions that lie under the surface.
16.
Which of the following examples are closed-ended questions? Select all that
apply.
Answer
·
Is math your favorite subject?
·
What grade did you get on the math test?
·
How old are you?
·
What
are your thoughts about math?
17.
The question, “How could we improve our website to simplify the returns process
for our online customers?” is action-oriented.
Answer
·
True
·
False
Explanation: Unquestionably, an
action-oriented inquiry would be something along the lines of "How could
we improve our website to simplify the returns process for our online
customers?" It focuses on determining particular steps or changes that can
be done to better the process of making returns via the website, and it does so
by identifying specific actions or improvements that can be implemented. This
is a wonderful illustration of the kind of query that elicits helpful and
practical solutions for the purpose of enhancement.
18.
Which of the following questions make assumptions? Select all that apply.
Answer
·
Keeping employees engaged is important, isn’t
it?
·
Wouldn’t you agree that product A is better
than product B?
·
Did
you get through to customer service?
·
It must be frustrating waiting on hold for so
long, right?
19.
Structured thinking involves recognizing the current problem or situation
you’re facing and identifying your options.
Answer
·
True
·
False
20.
Which of the following examples are leading questions? Select all that apply.
Answer
·
How
satisfied were you with our customer representative?
·
What
do you enjoy most about our service?
·
In
what ways did our product meet your needs?
·
How
did you learn about our company?
21. On a customer service
questionnaire, a data analyst asks, “If you could contact our customer service
department via chat, how much valuable time would that save you?” Why is this
question unfair?
Answer
·
It
is closed-ended
·
It
uses slang words that not everyone can understand
·
It
is vague
·
It makes assumptions
Explanation: This question is a little
bit challenging since it makes the assumption that the responder has important
time that they might save by contacting the customer support department via
chat. It is possible that the individual may respond based on the presumption
that chatting is a time-saving alternative as a result of this. The nature of
the question is misleading since it hints to a particular advantage, which has
the ability to influence the respondent's response. It is unfair because it
adds bias into the survey by structuring the question in a manner that nudges
respondents towards a specific response. In other words, it frames the question
in a way that encourages respondents to provide a certain answer.
22.
Fill in the blank: To apply structured thinking, a data analyst should ______
the available information in order to reveal gaps and opportunities and
recognize the current problem or situation.
Answer
·
organize
·
communicate
·
share
·
record
Explanation: In order to put organized
thinking into practice, a data analyst has to do an analysis of the information
that is already accessible in order to identify any gaps or opportunities, as
well as the issue or scenario that currently exists.
23.
A national chain of sporting goods stores advertises during popular sporting
television broadcasts. This is an example of the company doing what?
Answer
·
Reaching its target audience
·
Demonstrating
its support for a sports team
·
Defining
the problem to be solved
·
Monitoring
social feedback
Explanation: A good illustration of the
company's use of tailored advertising is provided here. They are targeting a
certain demographic of viewers interested in sports and, presumably, sporting
items by deliberately positioning their commercials during popular athletic
television broadcasts on television.
24.
In data analysis, categorizing things involves which of the following?
Answer
·
Creating
new classifications for items and assigning grades to items
·
Assigning items to categories
·
Taking
an inventory of items
·
Determining
how items are different from each other
Explanation: When doing data analysis,
classifying items requires going through the classification process. Typically,
this means putting together groups of things or data points that are comparable
to one another on the basis of common features or qualities.
25.
The question, “Why was the Monday afternoon yoga class successful?” is not
measurable. Which of the following questions presents a measurable way to learn
about the yoga class?
Answer
·
Why
do people like taking yoga classes on Mondays?
·
How
many customers responded to our recent half-price yoga promotion?
·
Is
yoga a great way to stretch and strengthen your body?
·
Do
yoga instructors seem more energetic at the beginning of the week?
Explanation: This question offers a
quantitative indicator (the number of participants) that can be assessed to
evaluate how successful the yoga session was. The satisfaction ratings on a
scale may also be obtained from this question.
26.
Why should a data analyst only ask fair questions?
Answer
·
Unfair
questions do not have answers.
·
Unfair questions can provide data that is
misleading.
·
Fair
questions are biased.
·
Fair
questions do not offend people.
Explanation: For a number of different
reasons, it is essential for a data analyst to ask reasonable questions. To
begin, asking questions that are objective helps maintain the reliability of
the data analysis process. Asking questions that are biased or unjust may lead
to skewed findings, which can then lead to erroneous conclusions.
Second,
the use of fair questions encourages the conduct of ethical research. It is
essential to show respondents respect and refrain from attempting to influence
the answers they provide. It's possible that unfair questions may accidentally
steer respondents toward a specific response, which would put a damper on the
reliability of the data.
In the
end, asking questions that are fair assures the reliability and validity of the
data that is gathered, which allows for more accurate insights and
decision-making that is guided by the analysis.
27.
In the share step of the data analysis process, a data analyst summarizes their
results using data visualizations and creates a slideshow to present to
stakeholders. What else might they do in this step?
Answer
·
Collect
data.
·
Communicate findings.
·
Organize
the available information
·
Shred
paper files.
28.
If a cooking supply store wants to attract more customers, where can they
advertise to better reach their target audience? Select all that apply.
Answer
·
On TV during the season finale of The Best
Chef in the Universe
·
At a bus stop near a local culinary school
·
On a podcast for foodies
·
In
a magazine all about advertising
29.
Making predictions is one of the six data analytics problem types. How does
data factor into such problem types?
Answer
·
The
data informs the predictions.
·
The
data confirms the decisions.
·
The
data are the predictions.
·
The
predictions validate the data.
30.
Which of the following examples are closed-ended questions? Select all that
apply.
Answer
·
How tall are you?
·
What
did you think about the article that I sent you?
·
What
is your opinion of the new movie?
·
Have you taken this class before?
31. What is the defining
characteristic of measurable questions?
Answer
·
They
are questions that have numbers in them.
·
Their
answers are numbers that can be interpreted qualitatively.
·
They
are questions that use numbers as categories.
·
Their answers are numbers that can be interpreted mathematically.
Explanation: Measurable problems are
distinguished by the fact that they are amenable to being quantified or
evaluated via the use of numerical values or certain metrics. Questions that
are measurable are meant to collect information that can be counted, measured,
or stated quantitatively. This kind of information enables objective analysis
and comparison to take place. These inquiries often seek information that is
clear and visible, which makes it much simpler to generate useful insights from
the data that was obtained.
32.
Fill in the blank: “How many people filled out the survey?” is an example of a
question that is _____ in the context of data analysis.
Answer
·
categorical
·
symbolic
·
measureable
·
qualitative
Explanation: In the context of data
analysis, a question such as "How many people filled out the survey?"
is an example of a question that is quantifiable. This question seeks a
numerical value, which, by virtue of the fact that it counts the number of persons
who filled out the survey, makes it ideal for quantitative analysis.
33.
Fill in the blank: In the _____ step of the data analysis process, an analyst
would create visualizations to summarize their results.
Answer
·
process
·
share
·
prepare
·
act
Explanation: An analyst would generate
graphics to describe their findings during the phase of the process known as
"visualization," which is part of the data analysis process.
34.
A community college wishes to share information about their new career
technical degrees. Who are likely examples of their target audience? Select all
that apply.
Answer
·
Students
newly enrolled at a state university
·
People
who are happy with their current jobs
·
People looking for a career change
·
Students who just graduated high school
35.
A restaurant is considering offering a delivery option for its customers. They
use data to forecast the demand for this service. This is an example of which
problem type?
Answer
·
Spotting
something unusual
·
Identifying
themes
·
Discovering
connections
·
Making predictions
Explanation: An example of a problem
that may be solved using predictive analytics is the restaurant that uses data
to anticipate the demand for a delivery service. The process of applying
statistical algorithms and historical data to create predictions about future occurrences
or trends is referred to as predictive analytics. In this scenario, the
restaurant is probably looking at data from the past in order to make
projections about the demand for its delivery service in the years to come.
36.
Fill in the blank: The question, “How could we improve our website to simplify
the returns process for our online customers?” is _____-oriented.
Answer
·
action
·
passive
·
data
·
bias
Explanation: The solution-oriented
question that should be asked is something along the lines of "How could
we improve our website to simplify the returns process for our online
customers?" It takes a proactive approach to tackling a particular problem
by concentrating on finding methods to improve the website and simplify the
process of making returns, and it does so by looking for ways to improve the
user experience.
37.
Why is reaching your target audience important in data analysis?
Answer
·
It brings awareness of your products to
potential customers.
·
It
makes your products easier to use for your customers.
·
It
improves customer service for those currently using your products.
·
It
increases the effectiveness of your services for customers.
38.
Making predictions is one of the six data analytics problem types. It deals
with using data to inform decisions about how things might be in the future.
Select the scenario that’s an example of making predictions.
Answer
·
A
data analyst at a gas company uses historical data to analyze a fluctuation in
gas usage.
·
A
data analyst at a school system uses data to make a connection between home
sales and new student enrollment.
·
A
data analyst at a shoe retailer uses data to inform the marketing plan for an
upcoming summer sale.
·
A
data analyst at a technology company uses data to identify a unique drop in
social media engagement.
Explanation: In order to forecast the
future demand for certain items, a retail organization examines previous sales
data, consumer demographics, and seasonal patterns. The corporation makes
adjustments to its inventory levels and marketing tactics on the basis of these
projections in order to satisfy the expected demands of customers and maximize
sales.
In this
situation, the corporation is generating predictions about future product
demand by using data analytics, which is a typical example of the "making
predictions" issue type in data analytics.
39.
Fill in the blank: Questions that make assumptions or suggest that a given
answer is correct are examples of _____ questions.
Answer
·
unbiased
·
fair
·
wrong
·
unfair
Explanation: Questions that are
instances of leading questions include those that either make assumptions or
indicate that a certain response is right. It is possible for respondents to be
unwittingly guided or biased toward a specific answer when leading questions are
used, which may then affect the results of a survey or interview.
40. In structured thinking, why
would a data analyst organize the available information?
Answer
·
To recognize the current problem or situation
·
To
consult with subject matter experts
·
To
ask SMART questions
·
To
summarize results using data visualizations
41. While
creating data visualizations for a slideshow, a data analyst considers, “What
would help a stakeholder understand this data better?” The analyst is in the
analyze step of the data analysis process.
Answer
·
True
·
False
Explanation: It seems as if the data analyst has moved on from the
analyze stage and is now working on the share step. The purpose of the analyze
stage of the data analysis process is to investigate, investigate, and get
insights from the data itself. When the analysis is finished, the analyst goes
on to the sharing stage, where they must examine how the results might be
successfully communicated to others.
In the stage labeled "share," the analyst
considers how best to communicate the results of the analysis to the various
stakeholders. Creating data visualizations, developing slide presentations, or
preparing other types of communication that increase stakeholder comprehension
may be necessary to do this. The phase of sharing the findings of the analysis
is more closely aligned with the question "What would help a stakeholder
understand this data better?" since it emphasizes the significance of
clear and efficient communication of the outcomes of the analysis.
42. In data analysis,
identifying themes involves which of the following?
Answer
·
Creating new classifications for items
·
Grouping categories into
broader themes
·
Creating labels for items
·
Bringing different items back together
in a single group
Explanation: When doing an analysis of the data,
determining themes requires a procedure that includes classifying and
categorizing the information. The practice of systematically assigning labels
or codes to segments of data that have common qualities or indicate thoughts
that are analogous to one another is referred to as coding. The process of
grouping these codes into more general topics or categories based on the
underlying patterns or ideas that are present in the data is referred to as
categorization.
This method enables analysts to recognize recurrent
patterns, subjects, or themes within the dataset, which paves the way for a
better comprehension of the information's context and the elaboration of
relevant insights.
