Data Analytics Exam 1 with Complete Solutions|
Latest Update
What is discrete data? one way to categorize quantitative data, as opposed to continuous
data. Discrete data are represented by whole numbers, an example of discrete data is points in a
basketball game
what is continuous data? one way to categorize quantitative data, as opposed to discrete
data. Continuous data can take on any value within a range, an example of continuous data is
height
What is nominal data? the least sophisticated type of data on the scale of nominal, ordinal,
interval, and ratio; its a type of qualitative data. The only thing you can do with nominal data is
count, group, and take proportion. An example of nominal data is hair color, gender, and ethnic
group
What is ordinal data? the second most sophisticated type of data on the scale of nominal,
ordinal, interval, and ratio; a type of qualitative data. Ordinary can be counted and categorized
like nominal data and the categories can also be ranked, examples are gold, silver, and bronze
medals.
What is ratio data? the most sophisticated type of data on the scale of nominal, ordinal,
interval and ratio; a type of quantitative data they can be counted and group and the differences
between each data point are meaningful like with interval data. Additionally, ratio data has a
meaningful zero.
,What is interval data? the third most sophisticated type of data on the scale of the
nominal, ordinal, interval, and ratio; a type of quantitative data. Interval data can be counted and
grouped like qualitative data and the differences between each data point are meaningful.
However, interval data do not have a meaningful zero.
What is declarative visualizations? Made when the aim of your project is to "declare" or
sent your findings to an audience. Charts that are declarative are typically made after data
analysis has been completed and are meant to exhibit what was found in the analysis steps.
What is exploratory visualizations? Made when the lines between steps P, A, and C are not
as clearly divided as they are in declarative visualization project. Often when you are exploring
the data with visualizations, you are performing the test plan directly in visualization software
such as Tableau instead of creating the chart after the analysis has been done.
In the late 1960s, Ed Altman developed a model to predict if a company was at severe risk of
going bankrupt. He called his statistic Altman's Z-score, now a widely used score in finance.
Based on the name of the statistic, which statistical distribution would you guess this came from?
Standardized normal distribution
What is the most appropriate chart when showing a relationship between two variables according
to Exhibit 4-8? Scatter Data
_______ data would be considered the least sophisticated type of data Nominal
Which of the following is not a typical example of nominal data? SAT scores
, Exhibit 4-8 gives chart suggestions for what data you'd like to portray. Those options include all
of the following except normalization
Line charts are not recommended for what type of data? Qualitative data
________ data would be considered the most sophisticated type of data Ratio
Gold, Silver, and Bronze medals would be an example of Ordinal
Justin Zobel suggests that revising your writing requires you to "be egoless - ready to dislike
anything you have previously written" suggesting that it is ______ you need to please the
reader
Big Data is often described by the three Vs, or volume, velocity, and variety
Which approach to Data Analytics attempts to assign each unit in a population into a small set of
classes (or groups) where the unit best fits? Classification
Which approach to Data Analytics attempts to identify similar individuals based on data known
about them? Similarity matching
Latest Update
What is discrete data? one way to categorize quantitative data, as opposed to continuous
data. Discrete data are represented by whole numbers, an example of discrete data is points in a
basketball game
what is continuous data? one way to categorize quantitative data, as opposed to discrete
data. Continuous data can take on any value within a range, an example of continuous data is
height
What is nominal data? the least sophisticated type of data on the scale of nominal, ordinal,
interval, and ratio; its a type of qualitative data. The only thing you can do with nominal data is
count, group, and take proportion. An example of nominal data is hair color, gender, and ethnic
group
What is ordinal data? the second most sophisticated type of data on the scale of nominal,
ordinal, interval, and ratio; a type of qualitative data. Ordinary can be counted and categorized
like nominal data and the categories can also be ranked, examples are gold, silver, and bronze
medals.
What is ratio data? the most sophisticated type of data on the scale of nominal, ordinal,
interval and ratio; a type of quantitative data they can be counted and group and the differences
between each data point are meaningful like with interval data. Additionally, ratio data has a
meaningful zero.
,What is interval data? the third most sophisticated type of data on the scale of the
nominal, ordinal, interval, and ratio; a type of quantitative data. Interval data can be counted and
grouped like qualitative data and the differences between each data point are meaningful.
However, interval data do not have a meaningful zero.
What is declarative visualizations? Made when the aim of your project is to "declare" or
sent your findings to an audience. Charts that are declarative are typically made after data
analysis has been completed and are meant to exhibit what was found in the analysis steps.
What is exploratory visualizations? Made when the lines between steps P, A, and C are not
as clearly divided as they are in declarative visualization project. Often when you are exploring
the data with visualizations, you are performing the test plan directly in visualization software
such as Tableau instead of creating the chart after the analysis has been done.
In the late 1960s, Ed Altman developed a model to predict if a company was at severe risk of
going bankrupt. He called his statistic Altman's Z-score, now a widely used score in finance.
Based on the name of the statistic, which statistical distribution would you guess this came from?
Standardized normal distribution
What is the most appropriate chart when showing a relationship between two variables according
to Exhibit 4-8? Scatter Data
_______ data would be considered the least sophisticated type of data Nominal
Which of the following is not a typical example of nominal data? SAT scores
, Exhibit 4-8 gives chart suggestions for what data you'd like to portray. Those options include all
of the following except normalization
Line charts are not recommended for what type of data? Qualitative data
________ data would be considered the most sophisticated type of data Ratio
Gold, Silver, and Bronze medals would be an example of Ordinal
Justin Zobel suggests that revising your writing requires you to "be egoless - ready to dislike
anything you have previously written" suggesting that it is ______ you need to please the
reader
Big Data is often described by the three Vs, or volume, velocity, and variety
Which approach to Data Analytics attempts to assign each unit in a population into a small set of
classes (or groups) where the unit best fits? Classification
Which approach to Data Analytics attempts to identify similar individuals based on data known
about them? Similarity matching
