Homework answers / question archive / Data Analytics Big Data is often described by the three V's, or Which approach to Data Analytics attempts to assign each unit in a population into a small set of classes where the unit belongs? Which approach to Data Analytics attempts to identify similar individuals based on data known about them? Which approach to Data Analytics attempts to predict relationship between two data items? Which of these terms is defined as being a central repository of descriptions for all of the data attributes of the dataset? Which skills were not emphasized that analytic-minded accountants should have? The IMPACT cycle includes all but the following process: By the year 2020, about 1

Data Analytics Big Data is often described by the three V's, or Which approach to Data Analytics attempts to assign each unit in a population into a small set of classes where the unit belongs? Which approach to Data Analytics attempts to identify similar individuals based on data known about them? Which approach to Data Analytics attempts to predict relationship between two data items? Which of these terms is defined as being a central repository of descriptions for all of the data attributes of the dataset? Which skills were not emphasized that analytic-minded accountants should have? The IMPACT cycle includes all but the following process: By the year 2020, about 1

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• Big Data is often described by the three V's, or
• Which approach to Data Analytics attempts to assign each unit in a population into a small set of classes where the unit belongs?
• Which approach to Data Analytics attempts to identify similar individuals based on data known about them?
• Which approach to Data Analytics attempts to predict relationship between two data items?
• Which of these terms is defined as being a central repository of descriptions for all of the data attributes of the dataset?
• Which skills were not emphasized that analytic-minded accountants should have?
• The IMPACT cycle includes all but the following process:
• By the year 2020, about 1.7 megabytes of new information be created every:
• Mastering the data can also be described via the ETL process. The ETL process stands for:
• The goal of the ETL process is to
• The advantages of storing data in a relational database include which of the following:
  Option A - Help in enforcing business rules.
  Option B - Increased information redundancy.
  Option C - Integrating business processes.
• The purpose of transforming data is:
• Which attribute is required to exist in each table of a relational database and serves as the "unique identifier" for each record in a table?
• The metadata that describes each attribute in a database is which of the following?
• As mentioned in the chapter, which of the following is not a common way that data will need to be cleaned after extraction and validation?
• Why is Supplier ID considered to be a primary key for a Supplier table?
• What are attributes that exist in a relational database that are neither primary nor foreign keys?
• Which of these is not included in the five steps of the ETL process?
• __________ is a set of data used to assess the degree and strength of a predicted relationship.
• Data that are organized and reside in a fixed field with a record or a file. Such data are generally contained in a relational database or spreadsheet and are readily searchable by search algorithms. The term matching this definition is:
• The observation that the frequency of leading digits in many real-life sets of numerical data is called:
• Which approach to data analytics attempts to predict a relationship between two data items?
• In general, the more complex the model, the greater the chance of
• In general, the more simple the model, the greater the chance of
• _________ is a discriminating classifier that is defined by a separating hyperplane that works first to find the widest margin (or biggest pipe) and then works to find the middle line.
• __________ mark the split between one class and another.
• Models associated with regression and classification data approaches have all but this important part:
• Which approach to data analytics attempts to assign each unit in a population into a small set of classes where the unit belongs?
• Gold, silver and bronze medals would be examples of
• 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?
• 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:
• Which of the following is not a typical example of nominal data?
• The Fahrenheit scale of temperature measurement would best be described as an example of:
• __________ data would be considered the least sophisticated type of data.
• __________ data would be considered the most sophisticated type of data.