• July 5, 2022

### How Do You Read A Z-score Table?

• How do you read a z-score table? The value of the z-score tells you how many standard deviations you are away from the mean. If a z-score is equal to 0, it is on the mean. A positive z-score indicates the raw score is higher than the mean average. For example, if a z-score is equal to +1, it is 1 standard deviation above the mean.

## What does z-score tell you?

Z-score indicates how much a given value differs from the standard deviation. The Z-score, or standard score, is the number of standard deviations a given data point lies above or below mean. Standard deviation is essentially a reflection of the amount of variability within a given data set.

## What percentile is z-score?

The standard normal distribution can also be useful for computing percentiles . For example, the median is the 50th percentile, the first quartile is the 25th percentile, and the third quartile is the 75th percentile.

Computing Percentiles.

Percentile Z
90th 1.282
95th 1.645
97.5th 1.960
99th 2.326

## Related guide for How Do You Read A Z-score Table?

### How do you read a percentile table?

• If your child is in the 75th percentile for height, they are taller than 75% of other kids her age.
• If they are in the 25th percentile for weight, they only exceeds 25% of children their age in weight.

• ### How do you convert az score to a percentage?

Multiply the outcome of your last calculation by 100 to make it a percentage. The result is the percentage of values in your set which are above the value which you converted into your Z-score.

### How do you find the percentage above AZ score?

To find the percentage of the area that lies "above" the z-score, take the total area under a normal curve (which is 1) and subtract the cumulative area to the left of the z-score. In part a, 73 had a z-score of -1.34615 with a cumulative area to the left of 0.0901 or 9.01%.

### How do you determine if data is statistically significant?

The level at which one can accept whether an event is statistically significant is known as the significance level. Researchers use a test statistic known as the p-value to determine statistical significance: if the p-value falls below the significance level, then the result is statistically significant.