DATA ANALYTICS FOR ACCOUNTING 3RD
EDITION COMPREHENSIVE EXAM SCRIPT WITH
SOLUTIONS
◉ Standard Deviation.
Answer: Measures data variability around the mean.
◉ Totals and Averages.
Answer: Summarizes performance metrics for analysis.
◉ Graphs in Analytics.
Answer: Visual representations like bar charts and histograms.
◉ Ratio Analytics.
Answer: Financial ratios comparing performance metrics.
◉ Percentage Change.
Answer: Measures growth or decline over time.
◉ Anomalies in Data.
Answer: Unusual results indicating potential issues.
, ◉ Drill-Down Analytics.
Answer: Detailed analysis uncovering data patterns.
◉ Sequence Checks.
Answer: Identifies missing documentation in transactions.
◉ Variance Analytics.
Answer: Compares actual performance against expectations.
◉ Duplicate Transactions.
Answer: Identifies repeated entries in financial records.
◉ Benford's Law.
Answer: Detects anomalies in numerical data distributions.
◉ Accounts Receivable Aging Schedule.
Answer: Tracks outstanding receivables over time.
◉ Horizontal Analytics.
Answer: Analyzes data across multiple periods.
EDITION COMPREHENSIVE EXAM SCRIPT WITH
SOLUTIONS
◉ Standard Deviation.
Answer: Measures data variability around the mean.
◉ Totals and Averages.
Answer: Summarizes performance metrics for analysis.
◉ Graphs in Analytics.
Answer: Visual representations like bar charts and histograms.
◉ Ratio Analytics.
Answer: Financial ratios comparing performance metrics.
◉ Percentage Change.
Answer: Measures growth or decline over time.
◉ Anomalies in Data.
Answer: Unusual results indicating potential issues.
, ◉ Drill-Down Analytics.
Answer: Detailed analysis uncovering data patterns.
◉ Sequence Checks.
Answer: Identifies missing documentation in transactions.
◉ Variance Analytics.
Answer: Compares actual performance against expectations.
◉ Duplicate Transactions.
Answer: Identifies repeated entries in financial records.
◉ Benford's Law.
Answer: Detects anomalies in numerical data distributions.
◉ Accounts Receivable Aging Schedule.
Answer: Tracks outstanding receivables over time.
◉ Horizontal Analytics.
Answer: Analyzes data across multiple periods.