Need help finding the area under the normal curve between z = -1.0 and z = -2.0?

0.1359 is the area under the normal curve between z = -1 and z = -2

Look at a normal distribution table (z-table) to check.

To find the area under the normal curve between z = -1.0 and z = -2.0, you can use a standard normal distribution table or a statistical calculator.

If you have a standard normal distribution table, you can look up the values for z = -1.0 and z = -2.0 in the table. The table will give you the area to the left of each z value. To find the area between the two z values, subtract the area to the left of z = -2.0 from the area to the left of z = -1.0.

If you're using a statistical calculator, you can use the cumulative distribution function (CDF) for the standard normal distribution. The CDF will give you the area to the left of a given z value. By finding the CDF for z = -1.0 and z = -2.0, you can subtract these values to find the area between the two z values.

In either case, the answer will give you the area under the normal curve between z = -1.0 and z = -2.0.

To find the area under the normal curve between z = -1.0 and z = -2.0, you can use a standard normal distribution table or a statistical calculator.

Using a standard normal distribution table:
1. Look up the area to the left of z = -1.0 in the table. This represents the area from negative infinity up to z = -1.0.
2. Look up the area to the left of z = -2.0 in the table. This represents the area from negative infinity up to z = -2.0.
3. Subtract the area from step 1 from the area from step 2 to find the area between z = -1.0 and z = -2.0.

Using a statistical calculator:
1. Use the cumulative distribution function (CDF) of the standard normal distribution to find the area to the left of z = -1.0. This will give you the probability P(Z ≤ -1.0).
2. Use the CDF again to find the area to the left of z = -2.0. This will give you the probability P(Z ≤ -2.0).
3. Subtract the probability from step 1 from the probability from step 2 to find the area between z = -1.0 and z = -2.0.

Both methods will give you the area under the normal curve between z = -1.0 and z = -2.0, which represents the probability of observing a value within that range in a normally distributed data set.