How to Interpret z-Score?
We can interpret z-score table as:
- If the Z-score is positive (greater than 0), the data point is above the median. The further the data point is from the mean, the higher the positive Z-score.
- For instance, A Z-score of 2 indicates that the data point is two standard deviations above the mean.
- Data points with Z-scores less than 0 (negative) are said to be in the middle. As the Z-score decreases, the distance between the data point and the mean increases.
- For example, a Z-score of -1.5 indicates that the data point is 1.5 standard deviations from the mean.
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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