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Exploratory Data Analysis for Business Analyst

Quiz by gus reyes

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16 questions
Show answers
  • Q1
    What is the purpose of exploratory data analysis for a business analyst?
    To ignore data and make decisions based on intuition
    To predict future outcomes with certainty
    To manipulate data to fit a certain narrative
    To analyze and summarize data to understand its key characteristics
    30s
  • Q2
    Which of the following is NOT a common technique used in exploratory data analysis for business analysts?
    Creating visualizations to summarize data
    Identifying trends and patterns in the data
    Detecting outliers and anomalies in the data
    Making definitive conclusions without data support
    30s
  • Q3
    What is the main goal of exploratory data analysis for business analysts?
    To manipulate data to support a preconceived conclusion
    To discover and understand patterns, trends, and relationships in the data
    To skip data exploration and jump straight to drawing conclusions
    To collect as much data as possible without analyzing it
    30s
  • Q4
    Which of the following is a common step in exploratory data analysis for business analysts?
    Jumping straight to creating visualizations without data preparation
    Drawing definitive conclusions without examining the data
    Cleaning and preparing the data for analysis
    Ignoring outliers and anomalies in the data
    30s
  • Q5
    What is the purpose of creating visualizations in exploratory data analysis for business analysts?
    To confuse stakeholders with complex graphs
    To make the data look more impressive without providing insights
    To hide data outliers and anomalies
    To visually represent data to identify patterns and trends
    30s
  • Q6
    Why is it important for a business analyst to conduct exploratory data analysis before making business decisions?
    To ignore data and rely solely on industry trends
    To gain insights and understanding of the data to make informed decisions
    To speed up the decision-making process without data analysis
    To make decisions based on intuition and gut feeling
    30s
  • Q7
    What is the primary source of data used in exploratory data analysis for business analysts?
    Anecdotes from coworkers
    Guesswork and random assumptions
    Structured and unstructured data sources
    Historical data from competitors
    30s
  • Q8
    Which of the following is a key benefit of exploratory data analysis for business analysts?
    Identifying outliers and anomalies in the data
    Ignoring data outliers for simplicity
    Skipping data exploration to save time
    Making assumptions without data examination
    30s
  • Q9
    What is the role of exploratory data analysis in the data science process for business analysts?
    To understand and prepare the data for further analysis
    To skip data exploration and move directly to modeling
    To predict future outcomes without data examination
    To make business decisions without data insights
    30s
  • Q10
    Which of the following is a common technique used in exploratory data analysis for business analysts?
    Jumping straight to building predictive models
    Creating descriptive statistics such as mean, median, and standard deviation
    Ignoring data outliers and anomalies
    Sharing raw data without any analysis
    30s
  • Q11
    What is a common visual tool used in exploratory data analysis for business analysts?
    Scatter plot
    Line chart
    Pie chart
    Histogram
    30s
  • Q12
    What is the purpose of identifying outliers in exploratory data analysis for business analysts?
    To investigate data quality issues or potential errors
    To artificially inflate the results of the analysis
    To exclude all data points that do not fit the trend
    To speed up the data analysis process
    30s
  • Q13
    What is a common descriptive statistic used in exploratory data analysis for business analysts?
    Mode
    Variance
    Correlation coefficient
    Mean
    30s
  • Q14
    Why is data cleaning an important step in exploratory data analysis for business analysts?
    To skip unnecessary data processing steps
    To ensure the accuracy and reliability of the analysis results
    To speed up the data analysis process without validation
    To introduce errors into the dataset intentionally
    30s
  • Q15
    What is the primary objective of exploratory data analysis for business analysts?
    To skip data preprocessing steps for quick results
    To understand the structure and key characteristics of the dataset
    To manipulate data to fit a preconceived hypothesis
    To present data visualizations without analysis
    30s

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