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Descriptive Statistics - What Happened?

1 h
Price Negotiable
US

Service Description

Definition: Descriptive statistics focus on summarizing and describing the main features of a dataset. They are part of traditional statistics and aim to organize data into meaningful numerical summaries. Purpose: To condense large amounts of raw data into understandable measures that describe what has happened. Key Tools & Measures: Mean, median, mode Standard deviation, variance, range Frequency distributions, percentages, histograms Example (in Lean Six Sigma): Summarizing defect rates, average cycle times, or customer satisfaction scores to understand baseline performance before improvement.


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Contact Details

  • United States

    Rick@NextLevelLSS.com


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