Z-Score Table (Standard Normal Distribution) Dataset
This dataset provides a comprehensive Z-Score Table for the Standard Normal Distribution, detailing Z-scores, cumulative probabilities, right-tail probabilities, percentiles, and two-tail confidence levels. It includes 310 records, essential for statistical analysis and hypothesis testing.
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💡 Key Takeaways
- Access a complete Z-Score Table with 310 records for statistical analysis.
- Explore cumulative probabilities, percentiles, and two-tail confidence values.
- Download essential data for hypothesis testing and normal distribution calculations.
- Get precise Z-score mappings for various statistical applications.
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Showing 20
of 310
⚠️ Showing first 20 of 310 records. Download the file for complete data.
| Z-Score | Cumulative Probability P(Z≤z) | Right Tail P(Z>z) | Percentile (%) | Two-Tail Confidence |
|---|---|---|---|---|
| 0.5 | 0.5000 | 50.00 | - | |
| 0.01 | 0.504 | 0.4960 | 50.40 | 0.8% |
| 0.02 | 0.508 | 0.4920 | 50.80 | 1.6% |
| 0.03 | 0.512 | 0.4880 | 51.20 | 2.4% |
| 0.04 | 0.516 | 0.4840 | 51.60 | 3.2% |
| 0.05 | 0.5199 | 0.4801 | 51.99 | 4.0% |
| 0.06 | 0.5239 | 0.4761 | 52.39 | 4.8% |
| 0.07 | 0.5279 | 0.4721 | 52.79 | 5.6% |
| 0.08 | 0.5319 | 0.4681 | 53.19 | 6.4% |
| 0.09 | 0.5359 | 0.4641 | 53.59 | 7.2% |
| 0.1 | 0.5398 | 0.4602 | 53.98 | 8.0% |
| 0.11 | 0.5438 | 0.4562 | 54.38 | 8.8% |
| 0.12 | 0.5478 | 0.4522 | 54.78 | 9.6% |
| 0.13 | 0.5517 | 0.4483 | 55.17 | 10.3% |
| 0.14 | 0.5557 | 0.4443 | 55.57 | 11.1% |
| 0.15 | 0.5596 | 0.4404 | 55.96 | 11.9% |
| 0.16 | 0.5636 | 0.4364 | 56.36 | 12.7% |
| 0.17 | 0.5675 | 0.4325 | 56.75 | 13.5% |
| 0.18 | 0.5714 | 0.4286 | 57.14 | 14.3% |
| 0.19 | 0.5753 | 0.4247 | 57.53 | 15.1% |
🔧 Use Cases
- Import the CSV file into your Python scripts or SQL databases for automated statistical calculations and data processing.
- Use the Excel file to quickly look up Z-scores, perform VLOOKUPs, or integrate into your statistical models for quick analysis.
- Print the PDF version as a convenient reference chart for students, researchers, or in exam settings requiring a physical Z-score table.
- Leverage this dataset to validate statistical software outputs or for educational purposes in teaching probability and inferential statistics.