Z Score Table and Chart - VrcAcademy (2024)

Z table or the Z-score table also called the standard normal table is a mathematical table used to find the probability that the z-score value is below, above, or between the values on the standard normal distribution.

Standard scores are most commonly called z-scores. In this post, equivalent terms like z-values, standardized variables, and normal scores are used.

The standard normal distribution table is the normal distribution having a mean value of 0 and a standard deviation of 1.

The standard score value gives you how far the raw score value is from the mean.

The Z-score value either be Positive or Negative depending on raw score value is greater than the mean or less than the mean.

The positive Z score value represents the raw score value is higher than the mean of the distribution. Use the Z score table pdf file to determine the corresponding area or probability to a positive z score value.

For example, the z-score value of 2 indicates it is 2 standard deviations greater than the mean.

A negative Z score value indicates the raw score value is below the mean of the distribution. Use the negative z table pdf file to determine the probability of a negative z score value.

Positive Z Score Table

Use the standard normal distribution table or z table chart to find values on the right of the mean distribution.

Corresponding values are higher than the mean of the distribution.

The positive z score in the z-table represents the area under the bell curve to the right of z.

Z Score Table and Chart - VrcAcademy (1)

Negative Z Score Table

Use the Negative Z score table or Z table chart to find values on the left of the mean distribution in the following z table.

Corresponding values are less than the mean of the distribution. The negative z score in the z-table represents the area under the bell curve to the left of z.

Z Score Table and Chart - VrcAcademy (2)

How to read Z Table

Z table is used to find the z score value lies on the left of the mean or right of the mean distribution.

To use the Z table, you should have a Z score value.

You can refer Z score calculator article which explains how to calculate the Z score using the z score formula below

z = (x -μ )/σ

Where:

  • μ = is the population mean for the unstandardized value
  • σ = is the population standard deviation for the unstandardized value
  • x = is the raw score value
  • z = is the calculated z-score value.

If the z score value is positive, use the positive z table to find the area on the right of the mean of the distribution.

If the z score value is negative, use the negative z table to find an area on the left of the mean of the distribution.

Example: To find z score value

Let’s consider an example to find the z score value and corresponding probability.

We have below the inputs parameter

The mean of the population for the unstandardized value = 75

The population standard deviation for the unstandardized value = 15

Raw Score Value: 83

Using the above input values as per the Z score formula, it calculates the Z score value below

Z score = (83 – 75)/15Z = 0.54

Now as we have the Z score value, use the z table chart.

The z score value is positive hence we will use the positive z table chart to find an area on the right of the mean.

To find a z-score using the table, look up the z-score value on the positive z-score table.

Find the first two digits of the z score to map it on the Y-axis of the normal distribution table, in our case first, two digits are 0.5

Find the value of digits at the second decimal position in z score value, it is 0.04

In the below z table, the yellow color box indicates the mapping of the z score value on the Y-axis and X-axis to find the corresponding area as marked in red color

Z Score Table and Chart - VrcAcademy (3)

The corresponding area is 0.7054 which means 70.54%

For the normal standard curve, what percent of the data values are below the third quartile denoted by Q3, and also find the z-score corresponding to Q3?

We know the Q3 Quartile represents the 75th percentile in the standard normal distribution.

It means there 75% of the data values lies below the third Quartile in the standard normal distribution.

Let’s first draw the normal distribution curve for percentile = 0.75

Z Score Table and Chart - VrcAcademy (4)

To find the z-score for the 75th percentile, we will follow the below steps

Step-1

Go to the z score chart and check the probability closest to 0.75 in the values inside the table.

Sometimes the exact values do not exist, in that case, we will consider the best closest value.

Z Score Table and Chart - VrcAcademy (5)

The closest value in the Z-table is 0.7517

Step-2

Find the z-score corresponding to this value i.e in this case its corresponding row value is 0.6 and its corresponding column value is 0.08

Step-3

Combine these numbers as 0.6+0.08 = 0.68

Conclusion

The Z-score for the Q3 Quartile is 0.68 which means 75% of the data point of the normal distribution is below 0.68 z-score.

Z-Score Percentile Table for Normal Distribution

The below table displays the z-score percentile table for the standard normal table

PercentileZ-Score
5-1.645
10-1.282
20-0.842
40-0.253
500
600.253
800.842
851.036
901.282
951.645
971.881
982.054
992.326

Z Score Percentile Table for Normal Distribution

Z Value Table for Confidence Intervals

To find the z score for the confidence intervals, use the below table.

Confidence Interval ((1–α) * 100%)Significance level (α)Critical Z-Value (Z-score)
80%0.201.282
85%0.151.439
90%0.101.645
95%0.051.960
97%0.032.17
98%0.022.326
99%0.012.576
99.5%0.0052.807
99.8%0.0023.090
99.9%0.0013.291

What’s the difference between Z-Score vs Percentile?

Z-Score:

  • Z-score measures how much a z-score deviates from the mean of the distribution in terms of standard deviation.
  • It tells us about the position of the data value in the normal distribution.
  • It describes the distance between two extreme data points in the distribution very accurately.
  • Z-score ranges from −∞ to ∞
  • It can be used only in the case of normal distribution.

Percentile:

  • The Percentile indicates the percentage of data values lies below the certain z-value in the distribution.
  • It only tells us about the fraction of data values lies below the data value but does not specify their positions in the distribution.

Z Score Table Pdf

You can download the z score table pdf file having the positive z score chart and negative z score chart in pdf file from given below link.

Z Score Table and Chart - VrcAcademy (2024)

FAQs

How do you write an z-score answer? ›

The formula for calculating a z-score is z = (x-μ)/σ, where x is the raw score, μ is the population mean, and σ is the population standard deviation. As the formula shows, the z-score is simply the raw score minus the population mean, divided by the population standard deviation. Figure 2.

How to read a negative z-score table? ›

If a z-score is negative, the value is below the mean. If a z-score is 0, the value is equal to the mean. For example, a z-score of 1.0 shows that the value is one standard deviation above the mean, while a z-score of -1.0 shows the value is one standard deviation below the mean.

What do the numbers on AZ score table mean? ›

A z-score greater than 0 represents an element greater than the mean. A z-score equal to 0 represents an element equal to the mean. A z-score equal to 1 represents an element, which is 1 standard deviation greater than the mean; a z-score equal to 2 signifies 2 standard deviations greater than the mean; etc.

What is a simple example of z-score? ›

For example, a Z-score of 1.2 shows that your observed value is 1.2 standard deviations from the mean. A Z-score of 2.5 means your observed value is 2.5 standard deviations from the mean and so on. The closer your Z-score is to zero, the closer your value is to the mean.

What does the z-score tell you? ›

A z-score measures exactly how many standard deviations above or below the mean a data point is. Here are some important facts about z-scores: A positive z-score says the data point is above average. A negative z-score says the data point is below average.

How to use z table to find critical value? ›

To calculate the critical z value for any confidence level, look for 1−α/2 value in the z table. For the 95% level, look for 0.975, not 0.95, to note the value of 1.96. Similarly, for 90% and 99% confidence levels, the critical z values are 1.645 and 2.575, respectively.

How to calculate z-score without table? ›

Use the following format to find a z-score: z = X - μ / σ. This formula allows you to calculate a z-score for any data point in your sample. Remember, a z-score is a measure of how many standard deviations a data point is away from the mean.

What is the Z value for 0.05 significance level? ›

A sample mean with a z-score less than or equal to the critical value of -1.645 is significant at the 0.05 level.

How to convert negative z-score to positive? ›

Standard Z-score Chart

A Z-score table shows the percentage of values (usually a decimal figure) to the left of a given Z-score on a standard normal distribution. For negative Z-scores, look up the positive version on this table, and subtract it from 1.

How is the z-score formula written? ›

Z Score = (x − x̅ )/σ

x = Standardized random variable. x̅ = Mean. σ = Standard deviation.

How do you comment on z-score? ›

So for example, if the z score is equal to a positive 0.5, then that's 4x is half a standard deviation above the mean. If a Z-score is equal to 0, that means that the score is equal to the mean. If the score is greater than 0 or a positive value, then that score is higher than the mean.

How to interpret z-score in context? ›

A positive z-score says the data point is above average. A negative z-score says the data point is below average. A z-score close to 0 ‍ says the data point is close to average. A data point can be considered unusual if its z-score is above 3 ‍ or below − 3 ‍ .

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