Z-Score Table
The z-score table is divided into two sections: negative z-scores and positive z-scores. The negative z-scores are below the mean, while the positive z-scores are above the mean. The rows and columns of the table define the z-score, and the table cells represent the area. For example, the z-score 1.50 corresponds to the area 0.9332, which is the probability that a random variable from a standard normal distribution will fall below 1.50.
Positive Z Score Table
A data point is above the median if its Z-score is positive (greater than 0), with a higher value denoting a larger divergence from the mean.
Negative Z Score Table
A negative Z-score indicates that the data points are nearer the mean.
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Z-Score Table
Z Score Table is the table for determining the probability of a standard normal variable falling below or above a certain value. Z-score table, also known as a standard normal table or z-score Table, is a mathematical table that provides the area under the curve to the left of a z-score in a standard normal distribution. The standard normal distribution is a bell-shaped curve with a mean of 0 and a standard deviation of 1.
The z-score table is used to find the probability that a random variable from a standard normal distribution will fall below a certain value. In this article, we will learn about the Z Score Table in sufficient detail and also learn how to use the Z Score Table in numerical problems.
Table of Content
- Z-Score Formula
- What is a Z-Score Table?
- Z-Score Table
- How to Use a Z-Score Table?
- How to Interpret z-Score?
- Applications of Z Score
- Example of Z Score
- Practice Questions on Z Score
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