Communicating Business Analytics Results Coursera Quiz Answers

Communicating Business Analytics Results Week 01 Quiz Answers

Q1. Which of the following statements correctly describes what happens in the last stage of an Information-Action Value Chain? Recall: there are 3 stages.

Analyze data set with statistical methods, clustering algorithms or advanced association to help make better decisions going forward
Summarize + interpret analytic results ⇒ model results with visual representations ⇒ develop action plan and alternatives ⇒ deliver the pitch
Apply prescriptive analytics to optimize business rules or financial models to figure out what choices should be made to achieve a specific outcome.
Identify an object or phenomena ⇒ Access data on the object or phenomena ⇒ Logically organize the data

Q2. Recall the concept of a data warehouse as an alternative to directly accessing data from a source system. Select all characteristics that pertain to the concept of a data warehouse:

Data is pulled from multiple data warehouses to create a source system
Data is organized in the data warehouse before it is used in an analysis
Data is organized in the source system BEFORE being pulled into a data warehouse
A data warehouse serves as a common location for data pulled from one or more source systems
You can selectively choose what type of data to extract from a data warehouse using a query language such as SQL

Q3. What properties are a desirable outcome of segmentation?

“homogeneity between” groups and “heterogeneity between” groups
“homogeneity within” groups and “heterogeneity between” groups
“homogeneity between” groups and “heterogeneity within” groups
“homogeneity within” groups and “heterogeneity within” groups

Q4. What does a customer lifetime value represent?

The sum of all revenues and costs of a customer over time
The difference of all revenues and costs of a customer over time
The frequency of contact a business has with a customer over their lifetime
The number of years an individual is considered a customer to a particular business

Q5. Answer the following questions based on this diagram. Communicating Business Analytics Results Coursera Quiz Answers

Who in the diagram has highest network centrality?

Lara
Jen
Harry
Zack
Dan

Q6. Which two individuals have the highest clustering coefficient centrality?

Lara
Jen
Tom
Jinny

Communicating Business Analytics Results Week 02 Quiz Answers

Q1. For each of the scenarios in question 1 – 3 , choose the best means (text, table, or graph) to display the quantitative information.

Your company just broke a sales record. You would like to show the new sales record on a big screen at the company entrance.

Text
Table
Graph

Q2. In an internal meeting, you would like to show the monthly sales amount of a few key products in the last ten years.

Text
Table
Graph

Q3. In a meeting with a sales team, you would like to show the quarterly units sold, sales amount, and market share for several products in the last year.

Text
Table
Graph

Q4. Which of the following are benefits of a table ? Select all that apply :

Can display very complex relationship
Can display precise values
Speeds up look up of individual values
Relates different units of measurements
Can present patterns of the data
Can clearly model billions of data values

Q5. Select all methods that can be used to represent single numerical values:

Points
Lines
Bars
Boxes
Shapes
Color Intensity

Q6. Which of the following graphs CANNOT be used to show the distribution of data? Select all that apply :

Strip plot
Line plot
Histogram
Density curve
Box plot
Scatter plot

Q7. Which of the following decreases the data-ink ratio? Select all that apply :

A large amount of points in a scatter plot
Large range intervals in histograms
3D effects
Background images

Q8. The following table shows worldwide iPhone market share in the smartphone market from 2011 to 2015. Choose the best graph to show this data.

Communicating Business Analytics Results Coursera Quiz Answers — **Answers**

Q9. Visualization experts recommend against using points without trend lines to show time series data. Which of the following statement is the best explanation for this recommendation?

Points are generally not a good way to encode numerical values.
Points cannot show precise values of numerical data.
Points have small visual weight and do not help show the sequential nature of the data
None of the above

Q10. Consider the following monthly sales data. Choose the best graphical design for this data.

Q11. Which of the following statements regarding small multiple design are correct? Select all that apply :

In general, the same chart type should be used in a small multiple design.
In general, small multiple design is preferred whenever it is feasible.
In general, the same axis scale and color scheme should be used in a small multiple design.
In a small multiple design, the graphs should be arranged following some natural order whenever possible.

Q12. Which of the following statements best explains why stacked area charts should be avoided?

Stacked area charts are not aesthetically pleasing.
Stacked area charts are difficult to construct with commonly available software tools.
Stacked area charts may mask the trend of data series except for the one in the bottom.
Stacked area charts cannot represent numerical values accurately.

Communicating Business Analytics Results Week 03 Quiz Answers

Q1. In addition to analyzing data well, a data analyst may also need to

Pitch their ideas to one or more decision makers
Ensure isolation between the data and the customer
Organize and processes data as efficiently as possible
Take account of bad or questionable data

Q2. Who or what is the best option to appeal your ideas to?

The process
The period
The people
The place

Q3. Telling compelling stories about the data analytic results requires (Select all that apply)

The story to be simple
The story to be short
The story to be true
The story to be informative

Q4. What is the relevance of knowing your audience for selling your story?

To present results in a way that resonates with the audience
To present data that is familiar to the audience
To give input to audience opinion
To help present abstract concepts in a easy matter.

Q5. What is an important principle to remember when preparing or giving a presentation?

Slides are the only effective way of presenting ideas
The presentation is about the problem you’re trying to solve – not about you
Slides should contain as much information as possible
Occasionally use specific materials to keep the presentation concise.

Q6. What is the pyramid principle?

Ideas can be broken into steps and then recombined together.
Always start from underdeveloped ideas and work towards a marketable one.
Writing and thinking can be structured to nest supporting ideas under one common point.
Give ideas a sufficient proof-of-concept using deductive analysis

Q7. In preparing presentation materials, the materials should be

Well-rounded slides and graphs.
At least 3-5 items
Colorful for visual aid
Correct and good quality

Q8. Although delivering the pitch requires conciseness and clarity, it must

Accommodate all possible audiences.
Be delivered to the audience as quickly as possible
Fit into the time allotted
Be delivered via power point slides.

Q9. Numerical patterns and trends are best understood when

Presented in some context
Plotted as concisely as possible
Compared and contrasted against current ideas
Organized and analyzed very thoroughly

Q10. A good rule of thumb when presenting with slides is

To use note cards sparingly
To allot about 5 minutes per slide
Construct a familiar scenario to the audience
To present complex ideas first

Q11. True or False: We identify correlation by specifically looking for a linear relationship when two data sets are plotted against each other?

True
False

Q12. Consider the following two sets of measures:

∎ Temperature in degrees celsius for each day in November, 2011 in Boulder, Colorado

∎ Hot chocolate sales in dollars for each day in November, 2011 in Boulder, Colorado

Say you calculate the Pearson correlation coefficient for the two sets of measures. If your r-value is equal to 0, what can you say about the relationship between sales of hot chocolate versus temperature based off of these two data sets? Select all that apply:

The data sets are not correlated at all
The data sets are perfectly negatively correlated
The data sets are perfectly positively correlated
There is no linear relationship between temperature and sales of hot chocolate

Q13. Which of the following statements about causality and correlation are true? Select all that apply:

Causality is always implied if two data sets are found to be correlated
If correlation is present between two data sets, causality is just one possible explanation for the identified relationship
There can never be both correlation AND causality present between two data sets, they are mutually exclusive concepts
Two sets of measurements can have a causal relationship AND also have no correlation present

Q14. Pretend a study is performed on the following two sets of data:

∎ Number of engineering degrees awarded in 2012

∎ Number of kittens adopted in 2012

A very high degree of correlation is found between the two almost unrelated data sets. What is the most likely explanation for this high degree of correlation?

The event of receiving an engineering degree is the cause of the second event, the purchasing of a kitten
No real relationship exists between the two data sets, it is coincidence
There is no arguing with the data, the two types of events are related in the real world
A third factor is likely causing the trends in both data sets

Q15. Define cognitive biases:

A concentration on or interest in one particular area or subject
A mode of altering information to deviate from reality
The mental action of acquiring knowledge and understanding through thought, experience, and the senses
Using thought or rational judgment

Q16. It is a data analyst’s responsibility to :

Take into consideration external pressure to show favorable results
Remain objective
Support the agenda of the sponsor of a study
Draw different conclusions from information based on how it’s presented

Q17. The lie of average distorts data by:

Using summary statistics to find correlated data sets
Using summary statistics to conceal data distribution
Using the average of a data set to hide variance
Using correlation to prove causation

Q18. What is the basic idea behind chart myopia?

Showing data in a way that puts it into perspective and shows it in the right context
Using only summary statistics can misrepresent the underlying nuances of our data
Leaving out the ‘out of how many’ value when counting the frequency of a specific event
Zooming in or out on data visualization results to make insignificant things look significant or vice versa

Q19. Select all characteristics of a properly conducted controlled market experiment:

Apply a predetermined treatment to the control group
Only control group members are selected randomly
Both control group and treatment group participants are selected at random
Differences in behaviour between group should be attributable to the treatment
Differences between groups are measurable and quantifiable

Communicating Business Analytics Results Week 04 Quiz Answers

Q1. What are advantages of the “Baseball Card” approach to showing options in slides (select all that apply)?

Allows different types of information about an option to be displayed in one place
Focuses attention on the speaker by only showing the most relevant bullet points
Facilitates comparisons of options to each other
Is optimal when the analysis involves mostly math and figures

Q2. Why might we consider using a segmentation schema provided by a third party instead of building our own (select the best answer)?

Third party schemas are usually better because they incorporate information we don’t have
They can help us to target customers in the market for which we may not have information
They are the experts and are better at segmentation analytics
It’s a better option when we planning efforts to retain our current customers

Q3. Which of the following describes a fully factorialized experiment?

An experiment designed to provide maximum insight with the fewest number of test groups
An experiment that has a separate control group for each test group
An experiment that uses a before and after comparison for each test group
An experiment where all combinations of all factors are tested

Q4. In the Customer Acquisition Strategy case study, why did we evaluate so many options (select all that apply)?

Different constituencies had different opinions on what the strategy should be
There were significant tradeoffs among different approaches
Because it’s always better to have as many options as possible
The preferred number of strategic options is the magic number seven plus or minus two

Q5. Consider the following slide from our Customer Acquisition Strategy case study:

What kind of ideograms are used in this slide?

Harvey Balls
Pie Charts
Death Stars
Pac Man Circles

Q6. This question refers to the graph in the previous question. Which options show the best performance for Avg. Revenue and Desirability combined (check all that apply)?

Max. Customers
Avg. Revenue
Revenue
Profitability
Growth Segment
Balanced

Q7. To make use of a Customer Lifetime Value
calculation, it’s necessary to have all revenues and costs for each customer
readily available.

True
False

Q8. Why do you think that
the internal and external analyses in the Customer Acquisition Strategy case study
were done in parallel?

They relied largely on different data and used different techniques, so they could be done independently
Doing the analyses in parallel allowed the project to be completed more rapidly
It allowed the team to avoid biases that could be introduced by doing the internal
or external analysis first
All of these are reasonable reasons to do the analyses in parallel