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BUAN 6320 QUIZ 1 QUESTIONS AND ANSWERS ALREADY PASSED

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BUAN 6320 QUIZ 1 QUESTIONS AND ANSWERS ALREADY PASSED Question: What is the primary objective of business analytics? Answer: The primary objective of business analytics is to use data and statistical analysis to drive decision-making and improve business performance. Question: What distinguishes descriptive analytics from predictive analytics? Answer: Descriptive analytics focuses on summarizing past data to understand what happened, while predictive analytics uses statistical models and machine learning to forecast future trends. Question: In a dataset, what is the purpose of data normalization? Answer: Data normalization is used to adjust the scales of different variables to a common scale without distorting differences in the ranges of values. This helps in improving the performance of analytical models. Question: What is a key difference between supervised and unsupervised learning in machine learning? 2 Answer: Supervised learning involves training a model on labeled data where the outcomes are known, while unsupervised learning deals with unlabeled data to find hidden patterns or intrinsic structures. Question: What does the term "data wrangling" refer to in data preparation? Answer: Data wrangling refers to the process of cleaning and transforming raw data into a format suitable for analysis. This includes handling missing values, outliers, and inconsistencies. Question: Why is it important to conduct a data quality assessment before performing analytics? Answer: Conducting a data quality assessment ensures that the data used for analysis is accurate, complete, and reliable, which is crucial for obtaining valid and actionable insights. Question: What is a pivot table and how is it used in data analysis? Answer: A pivot table is a data processing tool used to summarize, analyze, and present data in a spreadsheet. It allows users to group, filter, and aggregate data dynamically. Question: Explain the concept of "big

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BUAN 6320 QUIZ 1 QUESTIONS AND
ANSWERS ALREADY PASSED
Question: What is the primary objective of business analytics?


Answer: ✔✔ The primary objective of business analytics is to use data and statistical analysis to

drive decision-making and improve business performance.




Question: What distinguishes descriptive analytics from predictive analytics?


Answer: ✔✔ Descriptive analytics focuses on summarizing past data to understand what

happened, while predictive analytics uses statistical models and machine learning to forecast

future trends.




Question: In a dataset, what is the purpose of data normalization?


Answer: ✔✔ Data normalization is used to adjust the scales of different variables to a common

scale without distorting differences in the ranges of values. This helps in improving the

performance of analytical models.




Question: What is a key difference between supervised and unsupervised learning in machine

learning?




1

, Answer: ✔✔ Supervised learning involves training a model on labeled data where the outcomes

are known, while unsupervised learning deals with unlabeled data to find hidden patterns or

intrinsic structures.




Question: What does the term "data wrangling" refer to in data preparation?


Answer: ✔✔ Data wrangling refers to the process of cleaning and transforming raw data into a

format suitable for analysis. This includes handling missing values, outliers, and inconsistencies.




Question: Why is it important to conduct a data quality assessment before performing analytics?


Answer: ✔✔ Conducting a data quality assessment ensures that the data used for analysis is

accurate, complete, and reliable, which is crucial for obtaining valid and actionable insights.




Question: What is a pivot table and how is it used in data analysis?


Answer: ✔✔ A pivot table is a data processing tool used to summarize, analyze, and present data

in a spreadsheet. It allows users to group, filter, and aggregate data dynamically.




Question: Explain the concept of "big data" and its relevance to business analytics.




2

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