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CLEMSON ACCT 3130 MIDTERM 1 EXAM QUESTIONS ANSWERED CORRECTLY LATEST UPDATE 2026

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CLEMSON ACCT 3130 MIDTERM 1 EXAM QUESTIONS ANSWERED CORRECTLY LATEST UPDATE 2026 Data analytics - Answers The process of evaluating data with the purpose of drawing conclusions to address business questions. Indeed, effective Data Analytics provides a way to search through large structured and unstructured data to identify unknown patterns or relationships. Big Data - Answers Datasets that are too large and complex for businesses' existing systems to handle utilizing their traditional capabilities to capture, store, manage, and analyze these datasets. The IMPACT Cycle - Answers 1. Identify the questions 2. Master the data 3. Perform the test plan 4. Address and refine results 5. Communicate insights 6. Track outcomes Classification approach - Answers A data approach that attempts to assign each unit in a population into a few categories potentially to help with predictions. Regression approach - Answers A data approach that attempts to estimate or predict, for each unit, the numerical value of some variable using some type of statistical model. similarity matching approach - Answers A data approach that attempts to identify similar individuals based on data known about them. Clustering approach - Answers A data approach that attempts to divide individuals (like customers) into groups (or clusters) in a useful or meaningful way. co-occurrence grouping - Answers A data approach that attempts to discover associations between individuals based on transactions involving them. Profiling approach - Answers A data approach that attempts to characterize the "typical" behavior of an individual, group, or population by generating summary statistics about the data (including mean, standard deviations, etc.). Link prediction approach - Answers A data approach that attempts to predict a relationship between two data items. Data reduction approach - Answers A data approach that attempts to reduce the amount of information that needs to be considered to focus on the most critical items (i.e., highest cost, highest risk, largest impact, etc.). Big Data is often described by the three Vs, or - Answers volume, velocity, 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? - Answers Classification Which approach to Data Analytics attempts to identify similar individuals based on data known about them? - Answers Similarity matching Which approach to Data Analytics attempts to predict relationship between two data items? - Answers Link Prediction Which of these terms is defined as being a central repository of descriptions for all of the data attributes of the dataset? - Answers Data dictionary Which skills were not emphasized that analytic-minded accountants should have? - Answers Classification of test approaches & Data and systems analysis and design The IMPACT cycle includes all but the following process: - Answers Visualize the data. & Data preparation. By the year 2020, about 1.7 megabytes of new information be created every: - Answers Second. relational database - Answers A means of storing data in order to ensure that the data are complete, not redundant, and to help enforce business rules. Relational databases also aid in communication and integration of business processes across an organization. Flat File - Answers A means of storing data in one place, such as in an Excel spreadsheet, as opposed to storing the data in multiple tables, such as in a relational database. Primary key - Answers An attribute that is required to exist in each table of a relational database and serves as the "unique identifier" for each record in a table. Foreign key - Answers An attribute that exists in relational databases in order to carry out the relationship between two tables. This does not serve as the "unique identifier" for each record in a table. These must be identified when mastering the data from a relational database in order to extract the data correctly from more than one table. Descriptive attributes - Answers Attributes that exist in relational databases that are neither primary nor foreign keys. These attributes provide business information, but are not required to build a database. An example would be "Company Name" or "Employee Address." Composite primary key - Answers A special case of a primary key that exists in linking tables. The composite primary key is made up of the two primary keys in the table that it is linking. ETL Process (Extract, Transform, and Load) - Answers 1. Extract necessary data from databases 2. Transform data so its in a common format and free of errors 3. Load extracted and transformed data into the warehouse to be used Mastering the data can also be described via the ETL process. The ETL process stands for: - Answers Extract, transform, and load data. Which of the following describes part of the goal of the ETL process: - Answers identify and obtain the data needed for solving the problem The advantages of storing data in a relational database include which of the following? - Answers Help in enforcing business rules AND Help in enforcing business rules The purpose of transforming data is: - Answers to validate the data for completeness and integrity 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? - Answers Primary key The metadata that describes each attribute in a database is which of the following? - Answers Data dictionary 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? - Answers Clean up trailing zeros Why is Supplier ID considered to be a primary key for a Supplier table? - Answers It contains a unique identifier for each supplier What are attributes that exist in a relational database that are neither primary nor foreign keys? - Answers Descriptive attributes Which of these is not included in the five steps of the ETL process? - Answers Scrub the data Descriptive Analytics - Answers Procedures that summarize existing data to determine what has happened in the past. Some examples include summary statistics (e.g. Count, Min, Max, Average, Median), distributions, and proportions. diagnostic analytics - Answers Procedures that explore the current data to determine why something has happened the way it has, typically comparing the data to a benchmark. As an example, these allow users to drill-down in the data and see how it compares to a budget, a competitor, or trend. predictive analytics - Answers Procedures used to generate a model that can be used to determine what is likely to happen in the future. Examples include regression analysis, forecasting, classification, and other predictive modeling. prescriptive analytics - Answers Procedures that model data to enable recommendations for what should be done in the future. These typically include developing more advanced machine learning and artificial intelligence models to recommend a course of action based on a current problem. summary statistics - Answers Describe the location, spread, shape, and dependence of a set of observations. These commonly include the count, sum, minimum, maximum, mean or average, standard deviation, median, quartiles, correlation covariance, and frequency that describe a specific measurable value. data reduction - Answers A data approach that attempts to reduce the amount of information that needs to be considered to focus on the most critical items (i.e., highest cost, highest risk, largest impact, etc.). profiling - Answers A data approach that attempts to characterize the "typical" behavior of an individual, group, or population by generating summary statistics about the data (including mean, standard deviations, etc.). structured data - Answers 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. Benford's law - Answers An observation about the frequency of leading digits in many real-life sets of numerical data. The law states that in many naturally occurring collections of numbers, the significant lending digit is likely to be small. clustering - Answers A data approach that attempts to divide individuals (like customers) into groups (or clusters) in a useful or meaningful way. _________ is a set of data used to assess the degree and strength of a predicted relationship. - Answers Test Data Data that are organized and reside in a fixed field with a record or a file are generally contained in a relational database or spreadsheet and are readily searchable by search algorithms. The term matching is definition is: - Answers Structured Data An observation about the frequency of leading digits in many real0life sets of numerical data is called: - Answers Benford's Law Which approach to data analytics attempts to predict a relationship between two data items? - Answers Link Prediction In general, the more complex the model, the greater the chance of: - Answers overfitting the data In general, the simpler the model, the greater the chance of: - Answers underfitting the data _______ is a discriminating classier 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. - Answers support vector machines

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Instelling
ACCT 3130
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ACCT 3130

Voorbeeld van de inhoud

CLEMSON ACCT 3130 MIDTERM 1 EXAM QUESTIONS ANSWERED CORRECTLY LATEST UPDATE 2026

Data analytics - Answers The process of evaluating data with the purpose of drawing conclusions to
address business questions. Indeed, effective Data Analytics provides a way to search through large
structured and unstructured data to identify unknown patterns or relationships.
Big Data - Answers Datasets that are too large and complex for businesses' existing systems to handle
utilizing their traditional capabilities to capture, store, manage, and analyze these datasets.
The IMPACT Cycle - Answers 1. Identify the questions
2. Master the data
3. Perform the test plan
4. Address and refine results
5. Communicate insights
6. Track outcomes
Classification approach - Answers A data approach that attempts to assign each unit in a population
into a few categories potentially to help with predictions.
Regression approach - Answers A data approach that attempts to estimate or predict, for each unit,
the numerical value of some variable using some type of statistical model.
similarity matching approach - Answers A data approach that attempts to identify similar individuals
based on data known about them.
Clustering approach - Answers A data approach that attempts to divide individuals (like customers)
into groups (or clusters) in a useful or meaningful way.
co-occurrence grouping - Answers A data approach that attempts to discover associations between
individuals based on transactions involving them.
Profiling approach - Answers A data approach that attempts to characterize the "typical" behavior of
an individual, group, or population by generating summary statistics about the data (including mean,
standard deviations, etc.).
Link prediction approach - Answers A data approach that attempts to predict a relationship between
two data items.
Data reduction approach - Answers A data approach that attempts to reduce the amount of
information that needs to be considered to focus on the most critical items (i.e., highest cost, highest
risk, largest impact, etc.).
Big Data is often described by the three Vs, or - Answers volume, velocity, 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? - Answers Classification
Which approach to Data Analytics attempts to identify similar individuals based on data known about
them? - Answers Similarity matching
Which approach to Data Analytics attempts to predict relationship between two data items? -
Answers Link Prediction
Which of these terms is defined as being a central repository of descriptions for all of the data
attributes of the dataset? - Answers Data dictionary
Which skills were not emphasized that analytic-minded accountants should have? - Answers
Classification of test approaches & Data and systems analysis and design
The IMPACT cycle includes all but the following process: - Answers Visualize the data. & Data
preparation.
By the year 2020, about 1.7 megabytes of new information be created every: - Answers Second.
relational database - Answers A means of storing data in order to ensure that the data are complete,
not redundant, and to help enforce business rules. Relational databases also aid in communication
and integration of business processes across an organization.
Flat File - Answers A means of storing data in one place, such as in an Excel spreadsheet, as opposed
to storing the data in multiple tables, such as in a relational database.
Primary key - Answers An attribute that is required to exist in each table of a relational database and
serves as the "unique identifier" for each record in a table.
Foreign key - Answers An attribute that exists in relational databases in order to carry out the
relationship between two tables. This does not serve as the "unique identifier" for each record in a
table. These must be identified when mastering the data from a relational database in order to
extract the data correctly from more than one table.

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