1. Day 10 AGENDA:
Quiz minutes

2. Once again, my blog site is www.mathwithdillon.weebly.com
You should visit this site to get notes and assignments, check HW and WS, and check the calendar for assessment dates.

3. Come see me if you don’t understand a concept.
You should bring your worked homework problems so I can see what your mistake is.
You have to attempt homework problems before I can help you. I don’t know how to help you unless I see some work from you.

4. Lesson #8: Normal Distribution
Accel Precalculus
Unit #1: Data Analysis
Lesson #8: Normal Distribution
EQ: What are the characteristics of a normal distribution and how is probability calculated using this type of distribution?

5. Recall: Three Types of Distributions
Binomial
Normal
Geometric
Normal Distributions
--- created from continuous random variables

6. 1. Symmetric, Bell-Shaped Curve and Uni-modal.
Characteristics of a Normal Distribution:
1. Symmetric, Bell-Shaped Curve and Uni-modal.

8. 2. Mean, Median, Mode are equal and located at the middle of the distribution. Symmetric about the mean. Not skew.

9. The total area under the curve equals 1.
3. The curve is continuous, no gaps or holes. The curve never touches or crosses the
x-axis.
The total area under the curve equals 1.
New Term: Empirical Rule 68
_____% of data within 1 standard deviation
_____% of data within 2 standard deviations
_____% of data within 3 standard deviations 95 99

10. Normal Distribution --- each has its own mean and standard deviation.
What are µ and σ in this normal distribution ?

11. Standard Normal Distribution --- mean is always 0 and standard deviation is always 1
STANDARDIZE

12. z-score --- the number of standard deviations above or below the mean
z = observed – mean or z = X - µ
standard deviation σ
Correlates to area
under the curve.
Area under the curve at that score
z-score

13. Ex. In a study of bone brittleness, the ages of people at the onset of osteoporosis followed a normal distribution with a mean age of 71 and a standard deviation of 2.8 years. What z-score would an age of 65 represent in this study?
| | | | | | |
-2.14
| | | | | | | 65

14. Using Table A to Finding the Area under A Standard Normal Curve

15. Ex. Find the area under the curve to the left of z = -2.18.|
-2.18

16. Ex. Find the area under the curve to the left of z = 1.35.|
1.35

17. Ex. Find the area under the curve to the right of z = 0.75.
We want the area to the RIGHT
WHY?? |
.75

18. Ex Find the area under the curve between z = -1.36 and z = 0.42.
P(-1.36 < z < 0.42) =_____
– =_____
0.5759

19. Ex. Find the area under the curve between z = 1.60 and z = 3.3.
P(1.60 < z < 3.3) =_____
0.0543
– =_____

20. What about finding a z-score when given area under the curve?
Ex. Determine the z-score that would give this area under the curve.
-0.52

21. Ex. Determine the z-score that would give this area under the curve.
0.67

22. Ex. Determine the z-score that would give this area under the curve.
-1.13

23. Area Under the Standard Normal Curve #1 - 12
Practice Worksheet:
Area Under the Standard
Normal Curve
#1 - 12
Practice Worksheet Calculating Area Using z-scores

24. Day 11 Agenda:

25. Handout:Using the Graphing Calculator with Normal Distributions
Command and Arguments:
When given a z-score, you are looking for area under the curve.
normalcdf(low bound, high bound)
normcdf(___, ____)
P(z <-2.18) = _____
= 1.46%

26. normcdf(___, ____) -10 1.35 P(z < 1.35) = _____ 0.9115 = 91.15%
Ex. Find the area under the curve to the left of z = 1.35.
normcdf(___, ____)
P(z < 1.35) = _____
= 91.15%
normcdf(___, ____)
P(z > 0.75) = _____
= 22.66%

27. normcdf(___, ____) P(-1.36 < z < 0.42) = _____ 0.5758 = 57.58%
Ex Find the area under the curve between
z = and z = 0.42.
normcdf(___, ____)
P(-1.36 < z < 0.42) = _____
= 57.58%
normcdf(___, ____)
P(1.60 < z < 3.3) = _____
= 5.43%

28. Handout: Finding the Area under the Curve
When given area, you’re looking for a z-score.
Use invnorm function under distributions.
invnorm(% to the left)

29. 1.64
0.95
0.67
0.25
0.75
Pay attention to what you write!

30. 1.20
0.885
0.50
-1.15
1.15
0.125
0.375
0.375
0.125 or
0.875
Symmetric
0.50

31. ***Remember invnorm and normcdf are calculator jargon
Do not write these functions on assessments as your “work”. Must include probability statements.

32. WS: Calculating Area Using z-scores
Assignment: Go back and rework the worksheets using the calculator functions.
Example Handout: Area Under the Standard Normal Curve #1 – 12
WS: Calculating Area Using z-scores
NOTE: All normal probability problems should include a probability statement and a shaded/labeled SND curve.