Z Score to Percentiles Chart
Check out our handy z scores to percentiles table with percentile and Z-score values from 1-99. Find more information on z score and statistics at z-table.com.
Z Score to Percentiles Chart
| Percentile | Z Score | Percentile | Z Score | Percentiles | Z Score |
|---|---|---|---|---|---|
| 1 | -2.326 | 34 | -0.412 | 67 | 0.44 |
| 2 | -2.054 | 35 | -0.385 | 68 | 0.468 |
| 3 | -1.881 | 36 | -0.358 | 69 | 0.496 |
| 4 | -1.751 | 37 | -0.332 | 70 | 0.524 |
| 5 | -1.645 | 38 | -0.305 | 71 | 0.553 |
| 6 | -1.555 | 39 | -0.279 | 72 | 0.583 |
| 7 | -1.476 | 40 | -0.253 | 73 | 0.613 |
| 8 | -1.405 | 41 | -0.228 | 74 | 0.643 |
| 9 | -1.341 | 42 | -0.202 | 75 | 0.674 |
| 10 | -1.282 | 43 | -0.176 | 76 | 0.706 |
| 11 | -1.227 | 44 | -0.151 | 77 | 0.739 |
| 12 | -1.175 | 45 | -0.126 | 78 | 0.772 |
| 13 | -1.126 | 46 | -0.1 | 79 | 0.806 |
| 14 | -1.08 | 47 | -0.075 | 80 | 0.842 |
| 15 | -1.036 | 48 | -0.05 | 81 | 0.878 |
| 16 | -0.994 | 49 | -0.025 | 82 | 0.915 |
| 17 | -0.954 | 50 | 0 | 83 | 0.954 |
| 18 | -0.915 | 51 | 0.025 | 84 | 0.994 |
| 19 | -0.878 | 52 | 0.05 | 85 | 1.036 |
| 20 | -0.842 | 53 | 0.075 | 86 | 1.08 |
| 21 | -0.806 | 54 | 0.1 | 87 | 1.126 |
| 22 | -0.772 | 55 | 0.126 | 88 | 1.175 |
| 23 | -0.739 | 56 | 0.151 | 89 | 1.227 |
| 24 | -0.706 | 57 | 0.176 | 90 | 1.282 |
| 25 | -0.674 | 58 | 0.202 | 91 | 1.341 |
| 26 | -0.643 | 59 | 0.228 | 92 | 1.405 |
| 27 | -0.613 | 60 | 0.253 | 93 | 1.476 |
| 28 | -0.583 | 61 | 0.279 | 94 | 1.555 |
| 29 | -0.553 | 62 | 0.305 | 95 | 1.645 |
| 30 | -0.524 | 63 | 0.332 | 96 | 1.751 |
| 31 | -0.496 | 64 | 0.358 | 97 | 1.881 |
| 32 | -0.468 | 65 | 0.385 | 98 | 2.054 |
| 33 | -0.44 | 66 | 0.412 | 99 | 2.326 |
Percentiles to Z Score Chart: An Essential Tool in Statistics
As we delve into the world of statistics and data analysis, one of the key concepts we often encounter is the Z Score. Z Scores are invaluable in helping us understand how individual data points relate to the larger dataset. One way to interpret percentiles is by converting them into Z Scores, making it easier for us to comprehend the relative position of data points. In this blog post, we'll explore the Percentiles to Z Score Chart, discuss its significance, and learn how to use it effectively in data analysis.
Understanding the Percentiles to Z Score Chart
The Percentiles to Z Score Chart is a handy tool that helps us to convert percentiles into Z Scores, which are a more intuitive way of expressing the relative position of data points within a dataset. A percentile indicates the percentage of data points that are below a specific value, whereas a Z Score represents the number of standard deviations a data point is away from the mean. For instance, the 84th percentile corresponds to a Z Score of 1, meaning that 84% of the data points in a dataset fall below the value with a Z Score of approximately 1. The Percentiles to Z Score Chart typically includes two columns: Percentile and Z Score. By using this chart, you can quickly determine the Z Score associated with a given percentile and vice versa. This conversion is especially useful when you want to analyze and compare data points across different datasets or populations.
How to Use the Percentiles to Z Score Chart
Using the Percentiles to Z Score Chart is relatively simple. First, find the percentile in the chart that corresponds to the data point you want to analyze. Then, locate the Z Score value in the same row as the percentile. This Z Score value indicates the number of standard deviations the data point is away from the mean.
For example, let's say you have a percentile of 72. To find the corresponding Z Score, consult the Percentiles to Z Score Chart and locate the percentile value closest to 72. In this case, the closest value is 72, which corresponds to a Z Score of 0.583. This means that the data point falls 0.583 standard deviations above the mean.
For example, let's say you have a percentile of 72. To find the corresponding Z Score, consult the Percentiles to Z Score Chart and locate the percentile value closest to 72. In this case, the closest value is 72, which corresponds to a Z Score of 0.583. This means that the data point falls 0.583 standard deviations above the mean.
The Percentiles to Z Score Chart is an essential tool in the realm of statistics and data analysis. It enables us to convert percentiles into more intuitive Z Scores, allowing us to better understand the relative position of data points within a dataset. By mastering the use of the Percentiles to Z Score Chart, you'll be better equipped to analyze and compare data across various datasets and make more informed decisions based on your findings.
You can find more information on z score and statistics on z-table.com.
You can find more information on z score and statistics on z-table.com.