{"id":202430,"date":"2025-05-11T04:36:08","date_gmt":"2025-05-11T04:36:08","guid":{"rendered":"https:\/\/namso-gen.co\/blog\/how-to-get-p-value-from-z-table\/"},"modified":"2025-05-11T04:36:08","modified_gmt":"2025-05-11T04:36:08","slug":"how-to-get-p-value-from-z-table","status":"publish","type":"post","link":"https:\/\/namso-gen.co\/blog\/how-to-get-p-value-from-z-table\/","title":{"rendered":"How to get p value from z table?"},"content":{"rendered":"

To get the p-value from a z-table, you first need to know the z-score of your data point. The z-score represents how many standard deviations away from the mean a data point is. Once you have the z-score, you can look it up in a standard normal distribution table, also known as a z-table, to find the corresponding p-value. The p-value is the probability of finding a value equal to or more extreme than the observed value under the null hypothesis.<\/p>\n

**To find the p-value from a z-table, follow these steps:**
\n1. Determine the z-score of your data point.
\n2. Look up the z-score in a standard normal distribution table (z-table).
\n3. Find the corresponding area under the curve for that z-score.
\n4. If the z-score is negative, subtract the area from 0.5 to get the p-value. If the z-score is positive, add 0.5 to the area.<\/p>\n

Given a z-score of -1.96, for example, you would find the corresponding area in the z-table, which is approximately 0.025. Since the z-score is negative, you would subtract 0.025 from 0.5 to get a p-value of 0.475.<\/p>\n

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