**We can say ”Normal distribution **is a continuous distribution that is “bell-shaped”. Data are often assumed to be normal. Normal distributions can estimate probabilities over a * continuous interval* of data values.

**Which Data Values Are Most Likely to be Observed in a Normal Distribution? **

In a normal distribution, data are most likely to be at the * mean*. Data are less likely to farther away from the

__. Are the people around more likely to be short, tall, or average in height?__

*mean***What is a Standard Normal Distribution? **

Also we can say A standard normal distribution is a normal distribution with a mean=0 and standard deviation = 1.

“All normal distributions can be converted into a standard normal distribution”

**Why Convert to a Standard Normal Distribution? **

The values for points in a standard normal distribution are **z-scores**. We can use a standard normal table to find the probability of getting at or below a z-score. (a percentile).

**How do You Convert a Normal Distribution to a Standard Normal Distribution? **

**1. **Subtract the mean from each observation in your normal distribution, the new mean=0.

**2. **Divide each observation by the standard deviation, the new standard deviation=1.