Transcript Chapter 6.1

Chapter 6.1
Normal Distributions
Distributions
• A normal distribution is a continuous, bell-shaped
distribution of a variable.
• Normal curves each have their own means and standard
deviations
Normal Distribution
1. Bell-shaped
2. The mean, median, and mode are equal and are located
at the center of the distribution.
3. Unimodal
4. Symmetric about the mean
5. Continuous
6. Never touches the x-axis
7. Total area under the curve is 1.00 or 100%
Properties of the Normal
Distribution
Normal Curve and Standard Deviation
Remember this?
1. Area to the left of the mean
2. Area to the left of one standard deviation below the
mean
3. Area to the right of two standard deviations above the
mean
Find the area under the
curve for each of the
following:
• The standard normal distribution is a normal distribution
with a mean of 0 and a standard deviation of 1.
The standard normal
distribution
• Recall that z-score, or standard score is:
z
X 

z-score
Reading the table
1. Find the area for a z-score of 1.39
2. Find the area for a z-score of -0.25
3. Find the z-score for an area of .6293
4. Find the z-score for an area of .0012
Find area under the standard
normal distribution curve
• Find the are to the left of z=2.06
To the left:
• Find the area to the right of z=-1.19
To the right
• Find the area between z=+1.68 and z=-1.37
Between
1. P(z < 1.65)
2. P(z > 1.91)
3. P(0 < z < 2.32)
Find the following
probabilities
• Find the z-value such that the area under the standard
normal distribution curve between 0 and the z value is
0.2123
Find z-value
• Pg. 309 #1-10
Applying the Concepts