Z-Score Table (P2)

Front

What is a Z-Score?

Back

A Z-Score is a statistical measurement that describes a value's relationship to the mean of a group of values. It is expressed in terms of standard deviations from the mean.

Front

How do you interpret a Z-Score of 0.54?

Back

A Z-Score of 0.54 indicates that the value is 0.54 standard deviations above the mean.

Front

What does a Z-Score greater than 0.84 represent in terms of percentage?

Back

A Z-Score greater than 0.84 corresponds to approximately 20.05% of the data lying above this score.

Front

What is the significance of a Z-Score of 2.31?

Back

A Z-Score of 2.31 indicates that only about 1.04% of the data lies above this score, showing it is a relatively rare event.

Front

What does Z < 2.82 mean in terms of percentage?

Back

Z < 2.82 means that approximately 99.76% of the data falls below this Z-Score.

Front

How do you calculate the percentage of data between two Z-Scores, such as 0.36 and 3.02?

Back

To find the percentage of data between two Z-Scores, you subtract the cumulative percentage of the lower Z-Score from the cumulative percentage of the higher Z-Score.

Front

What is the cumulative percentage for Z = 0.36?

Back

The cumulative percentage for Z = 0.36 is approximately 64.19%.

Front

What is the cumulative percentage for Z = 3.02?

Back

The cumulative percentage for Z = 3.02 is approximately 99.87%.

Front

How do you find the area to the left of a Z-Score?

Back

The area to the left of a Z-Score can be found using the Z-Score table, which provides the cumulative probability for each Z-Score.

Front

What is the purpose of a Z-Score table?

Back

A Z-Score table is used to find the probability or area under the normal distribution curve corresponding to a given Z-Score.