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Communicating Business Analytics Results Coursera

Communicating Business Analytics Results Coursera Answer. In this post you will get Quiz Answer Of Communicating Business Analytics Results Coursera

 

Communicating Business Analytics Results Coursera

Offered By ”University of Colorado Boulder”

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Week 1 Quiz

 

1.
Question 1

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

1 point

  • 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

2.
Question 2

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:

1 point

 

  • 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

3.
Question 3

What properties are a desirable outcome of segmentation?

1 point

  • “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

4.
Question 4

What does a customer lifetime value represent?

1 point

  • 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

5.
Question 5
Answer the following questions based on this diagram.

Which two individuals have the highest clustering coefficient centrality?

1 point

  • Lara
  • Jen
  • Merle
  • Zack
  • Dan

6.
Question 6

Which two individuals have the highest clustering coefficient centrality?

1 point

  • Lara
  • Jen
  • Tom
  • Jinny

 

Week 2 Quiz

 

1.
Question 1

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.

1 point

  • Text
  • Table
  • Graph

2.
Question 2

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

1 point

Text

Table

Graph

3.
Question 3

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.

1 point

  • Text
  • Table
  • Graph

4.
Question 4

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

1 point

  • 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

5.
Question 5

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

1 point

  • Points
  • Lines
  • Bars
  • Boxes
  • Shapes
  • Color Intensity

6.
Question 6

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

1 point

  • Strip plot
  • Line plot
  • Histogram
  • Density curve
  • Box plot
  • Scatter plot

7.
Question 7

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

1 point

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

8.
Question 8

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

1 point

9.
Question 9

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?

1 point

  • 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

10.
Question 10

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

1 point

11.
Question 11

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

1 point

 

  • 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.

12.
Question 12

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

1 point

  • 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

 

Week 3 Quiz

1.
Question 1

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

1 point

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

2.
Question 2

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

1 point

  • The people
  • The process
  • The period
  • The place

 

3.
Question 3

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

1 point

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

 

4.
Question 4

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

1 point

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

 

5.
Question 5

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

1 point

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

 

6.
Question 6

What is the pyramid principle?

1 point

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

 

7.
Question 7

In preparing presentation materials, the materials should be

1 point

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

 

8.
Question 8

Although delivering the pitch requires conciseness and clarity, it must

1 point

Accommodate all possible audiences.

Be delivered to the audience as quickly as possible

Fit into the time allotted

Be delivered via power point slides.

 

9.
Question 9

Numerical patterns and trends are best understood when

1 point

Presented in some context

Plotted as concisely as possible

Compared and contrasted against current ideas

Organized and analyzed very thoroughly

 

10.
Question 10

A good rule of thumb when presenting with slides is

1 point

To use note cards sparingly

To allot about 5 minutes per slide

Construct a familiar scenario to the audience

To present complex ideas first

11.
Question 11

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

1 point

True

False

12.
Question 12
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:

1 point

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

13.
Question 13

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

1 point

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

14.
Question 14
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?

1 point

There is no arguing with the data, the two types of events are related in the real world

The event of receiving an engineering degree is the cause of the second event, the purchasing of a kitten

A third factor is likely causing the trends in both data sets

No real relationship exists between the two data sets, it is coincidence

15.
Question 15

Define cognitive biases:

1 point

 

The mental action of acquiring knowledge and understanding through thought, experience, and the senses

A mode of altering information to deviate from reality

A concentration on or interest in one particular area or subject

Using thought or rational judgment

16.
Question 16

It is a data analyst’s responsibility to :

1 point

Remain objective

Take into consideration external pressure to show favorable results

Draw different conclusions from information based on how it’s presented

Support the agenda of the sponsor of a study

17.
Question 17

The lie of average distorts data by:

1 point

Using the average of a data set to hide variance

Using summary statistics to conceal data distribution

Using summary statistics to find correlated data sets

Using correlation to prove causation

18.
Question 18

What is the basic idea behind chart myopia?

1 point

Zooming in or out on data visualization results to make insignificant things look significant or vice versa

Using only summary statistics can misrepresent the underlying nuances of our data

Showing data in a way that puts it into perspective and shows it in the right context

Leaving out the ‘out of how many’ value when counting the frequency of a specific event

19.
Question 19

Select all characteristics of a properly conducted controlled market experiment:

1 point

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

 

Week 4 Quiz

 

1.
Question 1
What are advantages of the “Baseball Card” approach to showing options in slides (select all that apply)?

1 point

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

2.
Question 2
Why might we consider using a segmentation schema provided by a third party instead of building our own (select the best answer)?

1 point

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

3.
Question 3
Which of the following describes a fully factorialized experiment?

1 point

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

4.
Question 4
In the Customer Acquisition Strategy case study, why did we evaluate so many options (select all that apply)?

1 point

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

5.
Question 5
Consider the following slide from our Customer Acquisition Strategy case study:

What kind of ideograms are used in this slide?

1 point

Harvey Balls

Pie Charts

Death Stars

Pac Man Circles

6.
Question 6
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)?

1 point

Max. Customers

Avg. Revenue

Revenue

Profitability

Growth
Segment

Balanced

7.
Question 7
To make use of a Customer Lifetime Value
calculation, it’s necessary to have all revenues and costs for each customer
readily available.

1 point

True

False

8.
Question 8
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

Allof these are reasonable reasons to do the analyses in parallel

 

 

Final Course Assignment

 

1- Which of the following graphs would be most appropriate to present the cheapest weekday to book a ticket?

1 point

Bar graph

Histogram

Boxplot

Time plot

Scatter plot

2.
Question 2
Which of the following graphs would be most appropriate to present the distribution of fares in the data? (select all that apply)

1 point

Bar graph

Histogram

Boxplot

Time plot

Scatter plot

3.
Question 3
Which of the following graphs would be most appropriate to present the relationship between Fare and Miles?

1 point

Bar graph

Histogram

Boxplot

Time plot

Scatter plot

4.
Question 4
Which of the following graphs would be most appropriate to present how far in advance you should book your ticket?

1 point

Bar graph

Histogram

Boxplot

Time plot

Scatter plot

5.
Question 5
Sometimes you need to display multiple variables or combine multiple units of measurement. For each of the following scenarios, choose the appropriate table or graph design.

Which of the following options would be the most appropriate to present the cheapest weekday to fly for the eight destination cities? (Select all that apply)

1 point

Side-by-side bar graph

Side-by-side histogram

A table with one column for each destination city and one row for each weekday

Side-by-side boxplot

Side-by-side or multi-series time plots

6.
Question 6
Which of the following options would be the most appropriate to present the comparison of the distributions of fares of the two origin cities? (Select all that apply)

1 point

Side-by-side bar graph

Side-by-side histogram

A table with one column for each destination city and one row for each origin city

Side-by-side boxplot

Side-by-side or multi-series time plots

7.
Question 7
Which of the following options would be the most appropriate to present how average fare changes with AdvanceDays and Channel?

1 point

Side-by-side bar graph

Side-by-side histogram

A table with one column for each channel and one row for each AdvanceDays

Side-by-side boxplot

Side-by-side or multi-series time plots

8.
Question 8
The blue dots in the following graph represent the average fare corresponding to the number of days the tickets were booked in advance. The orange line represents the overall fare average (i.e., the average fare for all flights in the dataset). The graph shows that as the departure day approaches, the airfare tends to increase. It also shows that purchasing tickets far in advance results in fares that tend to be above the overall average. There is a “sweet spot” (for the traveler!) at around 100 days where fares are below the overall average.

In video 6 of module 3 of this course, we discussed 7 principles for telling compelling stories. This graph is an example of the following principle:

1 point

The graph translates complicated airline jargon to terms that are familiar to a traveler.

The overall average airfare (represented by the orange line) provides the right context to compare how airfare changes over time as the departure day approaches.

The graph provides a seamless integration of text and pictures

The graph is misleading regarding how yield management programs work.

9.
Question 9
Suppose the airfare data set were available to a small consulting firm with locations in Detroit (DTW) and Minneapolis (MSP). Most of their consultants travel each week from those locations to client locations that are represented by the destinations in the data set.

The firm wants to provide guidance to its consultants to try and keep travel spending as low as possible. One unique aspect of their travel booking is that they normally try to book travel 3-4 weeks in advance, but may often book less than 2 weeks in advance of travel.

Which booking channel
should they recommend in general to get the lowest fares?

1 point

Expedia

Offline

Orbitz

Travelocity

Online Other

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