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
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 phase of the data analysis process known as "Communicate Results," it is common practice to create data visualizations as well as a slideshow. The next phase, which comes after examining and evaluating the data, is to effectively convey the results to the various stakeholders. During this stage, you could develop visualizations, give presentations, or write reports in order to communicate your findings and suggestions.
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: That seems like a fantastic illustration of a Cause-Related Marketing approach that might be implemented. The recycle center is linking itself with a cause (environmental conservation) to strengthen its brand image and demonstrate that it is committed to social responsibility by sponsoring a podcast about preserving the environment. The podcast is about protecting the environment via recycling. It is a manner of conveying the message that "We're not just a business; we care about the environment, too."
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: The field of Predictive Modeling is the appropriate one to
apply to this situation. The data analyst is making a prediction or projection
about the future power requirements of the new tenants who will be moving into
the recently constructed flats by analyzing previous data and potentially other
pertinent criteria. It is a preventative method for estimating future demand
that is based on patterns and trends seen in the data that is already
accessible.
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 predetermined groups or
classes based on common qualities or criteria is what we mean when we talk
about "categorizing" things. It's a methodical approach of
classifying things, in which every object is sorted into one of many
categories.
Finding themes, on the other hand, entails finding
repeating patterns, thoughts, or ideas that emerge from the data. This may be
done by comparing the two sets of information. It's a procedure with greater
room for interpretation, and the goal is to unearth underlying ideas or
subjects that weren't necessarily planned out in advance.
To summarize, classifying entails dividing things into categories that have already been established, but recognizing themes entails finding patterns or ideas that may not have been established beforehand.
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: It's possible that this question is unfair since it
presupposes a favorable answer and the advantages that people believe they
would get from having a chat option. It is leading in nature, which may
influence respondents to focus on the benefits of saving time rather than
offering feedback that is objective. The language gives the impression that
selecting the chat option will in fact save the respondent precious time;
however, this may not be the case for all of the respondents.
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 that you're describing often falls within the purview of Information Analysis. A systematic analysis of the data is carried out whenever there is an organization of the available information, the identification of patterns, and the revealing of gaps or possibilities. This makes it easier to make choices based on accurate information, gain new insights, and identify opportunities for development or innovation.
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: The field of Predictive Analytics is the appropriate one to apply to this situation. The analyst is making predictions about future outcomes by utilizing data to do so, primarily for the purpose of assisting the organization in making better informed choices about the business plan for the next year. Utilizing statistical algorithms and historical data to make predictions about future patterns of behavior, events, or trends is what predictive analytics is all about.
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: The Hierarchical Classification expands upon these
categories by placing them under a more general heading than they were before
under. There is a systematic and ordered hierarchy in hierarchical
classification, which enables a more deep and nuanced categorization of things
into subcategories and bigger groups. Hierarchical classification is also known
as a tree classification.
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! You are referring to the notion known as "conception." When questions contain assumptions, they often incorporate preconceived beliefs or ideas that are accepted as true without any real evidence or proof. This may be confusing since assumptions are not the same thing as proof. When engaging in critical thinking and analysis, it is essential to be aware of these assumptions in order to guarantee an approach that is more objective and evidence-based.
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: One example of a marketing strategy is shown here. The data analyst is recommending a certain strategy, which is placing advertisements in well-known landscaping periodicals, as a means of achieving the overarching objective of bringing in a greater number of clients to the garden shop. It's a real-world example of the strategy of making judgments on how to successfully sell and promote a company based on the data and insights gleaned from that strategy.
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: To the point! You have it just correct. finding themes requires taking objects that have been previously categorized and arranging them into wider themes or classifications. Categorizing includes putting things into particular groups or classes, whereas finding themes requires taking those categories and structuring them. It is a method for discovering recurring themes or overarching ideas among the things that have been sorted. Excellently expressed!
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: Indeed, that is the case! This question is action-oriented since it seeks concrete methods to enhance the website and simplify the returns process. Specifically, the question focuses on ways to improve the website. It requests that responders submit recommendations and insights that can be put into action.
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?
Shuffle Q/A 2
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: Because it makes the assumption that communicating with customer care via chat would take less of the respondent's time, this inquiry has the potential to be criticized as unfair. It presupposes that the conclusion will be favorable, which may influence respondents to submit replies that are based on this presumption rather than presenting their ideas or experiences in an objective manner. A question along the lines of "How do you feel about the option to contact our customer service department via chat?" is a more impartial approach that might be used. This gives respondents the opportunity to offer their ideas without being swayed by the prospect of receiving a supposed reward.
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. The act of breaking down complicated material, seeing patterns, and obtaining new insights in order to arrive at well-informed conclusions is referred to as analysis.
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: This is an example of the corporation participating in the practice of Targeted Advertising. The corporation is using a targeted audience that is likely interested in sports and might be future buyers for sporting products to carefully reach out to them via the placement of advertisements during prominent television broadcasts of sporting events. It is a method for concentrating marketing efforts on a certain demographic that is compatible with the things that a business has to offer.
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: The process of allocating objects to particular categories in the context of data analysis is known as categorizing things. This entails classifying things according to common qualities, attributes, or criteria. It's a technique that involves arranging and putting together items that are comparable in order to make analysis and comprehension easier.
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 provides both quantitative and qualitative information about the success of the class by introducing a quantifiable factor (the number of attendees) and opening the possibility for comments.
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.
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
Shuffle Q/A 3
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: Questions that can yield replies that can be measured or stated in numerical terms are said to be measurable. Measurable questions are defined by this capacity. Typically, the answers to these questions are looking for precise and quantitative information that can be measured and analyzed in an objective manner. The capability of gathering data in a numerical format, which makes it much simpler to evaluate the results and derive inferences from them, is the distinguishing feature of this kind of survey.
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. It is looking for a measurable reaction, which will allow for the gathering of measurable data in the form of numerical information that can be evaluated and assessed.
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: In the last phase of the data analysis process, which is called "Communicate Results," an analyst will develop visuals to describe the outcomes of their work. This stage entails presenting the results in a way that is crystal obvious and easy to comprehend. In order to successfully explain complicated data, charts, graphs, and other visual representations are often used during this step.
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: This scenario is an example of a problem that can be solved with Predictive Analytics. The restaurant is analyzing the data to determine the need for a delivery option, which requires them to make forecasts about future trends based on the data that they now have. firms are able to make more educated choices and better prepare for the launch of new services like delivery with the assistance of predictive analytics, which allows the firms to better anticipate future requirements or behaviors.
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: An action-oriented question might be something along the
lines of "How could we improve our website to simplify the returns process
for our online customers?" Its primary emphasis is on eliciting useful
insights and recommendations for improvement, and it invites respondents to
provide specific suggestions that may be utilized to improve the website and
make the process of making returns more straightforward.
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.
Shuffle Q/A 4
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. These kinds of questions have the ability to inadvertently impact or prejudice respondents, which might distort the findings or the feedback that is offered.
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 looks as if there was a little bit of a
misunderstanding. In most cases, the process of creating data visualizations
for use in a presentation slideshow is included in the part of the data
analysis process known as Communicate Results rather than the step known as
Analyze.
During the process known as "Analyze," the
emphasis is placed on delving deeper into the data, locating patterns and
linkages, and obtaining new insights. The objective is to have a complete
understanding of the data. When this study is finished, the following step is
often to communicate the results. This stage frequently involves the creation
of data visualizations in order to make the insights more accessible to the
relevant stakeholders.
Therefore, the analyst's assessment of what would help a stakeholder understand the data better matches more closely with the Communicate Results stage, where the focus is placed on effective communication of the analyzed insights. In other words, this step is more closely aligned with the analyst's consideration of what would help a stakeholder understand the data better.
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: The process of detecting recurrent concepts, patterns, or ideas within a set of data is referred to as "identifying themes" in data analysis. The procedure consists of identifying recurring themes or broad ideas that arise from the material. This often calls for a qualitative technique, in which the analyst finds and classifies themes based not on numerical values but on the content or context of the data. It contributes to the development of a more in-depth comprehension of the fundamental ideas included within the dataset.
