## How do you find the z-score to the left?

Area shaded to the left of a z-score (z is greater than the mean).

- Step 1: Split your given decimal into two after the tenths decimal place. For example, if you’re given 0.46, split that into 0.4 + 0.06.
- Step 2: Look up your decimals from Step 1 in the z-table.
- Step 3: Add 0.500 to the z-value you just found in step 2.

**What is the area under the curve to the left of Z?**

The total possible value that can be under the curve is 1.00. This means that if the whole population fell under the curve, the area would be a value of 1.00. The area to the left of the z score represents the total area under the curve that is left to the z score.

### What is the area to the left of Z 0?

The area to the right of Z=0 is (2) the same as the area to the left of Z = 0. This is because Z = 0 is the point of symmetry in a standard normal curve.

**What is on standard normal table?**

The standard normal distribution table is a compilation of areas from the standard normal distribution, more commonly known as a bell curve, which provides the area of the region located under the bell curve and to the left of a given z-score to represent probabilities of occurrence in a given population.

#### How do you find the area to the left of Z in Excel?

Excel solution “Find the area under the normal curve to the left of .” =NORMSDIST(z-score) gives you the area to the left of that z-score. “Find the area under the normal curve to the right of .” To get area to the RIGHT of a certain z-score, tell Excel to subtract 1 minus the area to the left of that z-score.

**What is on Z table?**

A z-table, also called the standard normal table, is a mathematical table that allows us to know the percentage of values below (to the left) a z-score in a standard normal distribution (SND). When the mean of the z-score is calculated it is always 0, and the standard deviation (variance) is always in increments of 1.

## What is the area of the normal curve to the left of the mean?

The normal distribution is a continuous probability distribution that is symmetrical on both sides of the mean, so the right side of the center is a mirror image of the left side. The area under the normal distribution curve represents probability and the total area under the curve sums to one.