A Z-score (also called a standard score) measures how many standard deviations a particular value is away from the population mean. It's a way of standardizing values from different normal distributions so they can be compared directly.

The Z-score formula is: Z = (X - μ) / σ, where X is the raw score, μ is the population mean, and σ is the standard deviation.

Key Features:

• Instant Calculation: Get Z-scores, percentiles, and probabilities immediately
• Step-by-Step Solution: See the complete calculation process
• Multiple Results: Z-score, percentile rank, and probability values
• Interpretation Guide: Understand what your Z-score means
• Visual Feedback: Clear, color-coded results
• Example Values: Quick start with sample data

How to Use:

1. Enter Raw Score (X): The value you want to analyze
2. Enter Population Mean (μ): The average of your dataset
3. Enter Standard Deviation (σ): The measure of variability in your data