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Normal Distributions, Empirical Rule and Standard Normal Distribution

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Presentation on theme: "Normal Distributions, Empirical Rule and Standard Normal Distribution"— Presentation transcript:

1 Normal Distributions, Empirical Rule and Standard Normal Distribution

2 Normal Curves to describe normal distributions
Symmetric Single peaked Bell shaped Normal distributions are symmetric but symmetric distributions are not necessarily normal, the other two conditions must also be present.

3 Points of Inflection and Standard Deviation in a Normal Curve
Point of Inflection

4

5 The distribution of heart disease death rates, per 100,000 people, in 19 developed Western countries is close to this normal distribution. What is the mean and median heart disease death rate per 100,000 people? The standard deviation is approximately what value? a) b)25 c) 60 d)100 Mean = 190 Standard deviation = 60

6 Notation Because the density curve is an idealized description of data, we need to distinguish between the mean and standard deviation of the density curve and the mean and standard deviation, s, computed from the actual observations. The mean of an idealized distribution is µ and the standard deviation σ.

7 Shorthand Notation N(µ, σ) shorthand for a normal distribution with mean µ and standard deviation σ

8 The distribution of Iowa Test of Basic Skills (ITBS) vocabulary scores for 7th grade students in Gary, Indiana, is close to Normal. Suppose the distribution is N(6.84, 1.55). Sketch the Normal density curve for this distribution. What percent of ITBS vocabulary scores are less than 3.74? What percent of the scores are between 5.29 and 9.94? Normal Distributions

9 Empirical Rule 1 standard deviation, σ 2 standard deviations, 2σ

10 What proportion scored between 20 and 26?
Examples: Suppose ACT scores are normally distributed with and What proportion scored between 20 and 26? What proportion scored between 23 and 26? What proportion scored between 17 and 20? What proportion scored above 29? What proportion scored below 14?

11 What score would you need to get in order to score in the top 50%?
Examples: Suppose ACT scores are normally distributed with and What score would you need to get in order to score in the top 50%? What score would you need to get in order to score in the top 2.5%?

12 What proportion scored below 21?
Examples: Suppose ACT scores are normally distributed with and What proportion scored below 21?

13 Normal Population The scores of a reference population on the Wechsler Intelligence Scale for Children are normally distributed with µ = 100 and σ = 15 What scores would represent a 50th percentile? (An observations percentile is the percent of the distribution that is at or to the left of the observation. ) Approximately what percent of the scores would range from 70 to 130? A score in what range would represent the top 16% of scores?

14 Normal Curve Applet Exercises
The average performance of women on the SAT, especially the math part, is lower than that of men. The reason for the gender gap is controversial. In 2000, women’s scores on the math SAT followed a normal distribution with mean 498 and a standard deviation The mean for men was What percent of women scored higher than the male mean?

15 Normal Curve Applet Exercises
Changing the mean of a normal distribution by a moderate amount can greatly change the percent of observations in the tails. Suppose that a college is looking for applicants with SAT math scores 700 and above. Women’s scores that year had a normal distribution with mean 498 and standard deviation What percent of women scored 700 or better? In 2000, the scores of men on the math followed a normal distribution with mean 533 and standard deviation What percent scored 700 or better?

16 What does the distribution of the z – scores (Standard Normal Distribution) look like?
Standardizing does not change the shape of the distribution of a variable. Standardizing changes the center by making the mean 0. Standardizing changes the spread by making the standard deviation 1.

17 The Standard Normal Table
Normal Distributions Because all Normal distributions are the same when we standardize, we can find areas under any Normal curve from a single table. Definition: The Standard Normal Table Table A is a table of areas under the standard Normal curve. The table entry for each value z is the area under the curve to the left of z. Suppose we want to find the proportion of observations from the standard Normal distribution that are less than 0.81. We can use Table A: P(z < 0.81) = .7910 Z .00 .01 .02 0.7 .7580 .7611 .7642 0.8 .7881 .7910 .7939 0.9 .8159 .8186 .8212

18 Finding Areas Under the Standard Normal Curve
Example, p. 117 Normal Distributions Find the proportion of observations from the standard Normal distribution that are between and 0.81. Can you find the same proportion using a different approach? 1 - ( ) = 1 – =

19 Standard Normal Calculations
1. P(z < -1) Ans: 2. P(z < 0.75) Ans: 3. P(z > 1.23) Ans: 4. P(-1 < z < 1) Ans: 5. P(-2 < z < 2) Ans: 6. P(z > 3) Ans: 7. P(z < k) = 0.90, find k. Ans: k = 1.28 8. Find the IQR for the standard normal distribution. Ans: ~1.35

20 Normal Distribution Calculations
Normal Distributions How to Solve Problems Involving Normal Distributions State: Express the problem in terms of the observed variable x. Plan: Draw a picture of the distribution and shade the area of interest under the curve. Do: Perform calculations. Standardize x to restate the problem in terms of a standard Normal variable z. Use Table A and the fact that the total area under the curve is 1 to find the required area under the standard Normal curve. Conclude: Write your conclusion in the context of the problem.

21 Normal Distribution Calculations
When Tiger Woods hits his driver, the distance the ball travels can be described by N(304, 8). What percent of Tiger’s drives travel between 305 and 325 yards? Normal Distributions Using Table A, we can find the area to the left of z=2.63 and the area to the left of z=0.13. – = About 44% of Tiger’s drives travel between 305 and 325 yards.

22 IQ scores are normally distributed with m = 100 and s = 16.
1. What percent of the scores are less than 108? Ans: 2. What percent of the scores are greater than 120? Ans:

23 IQ scores are normally distributed with m = 100 and s = 16.
3. What percent of the scores are between 90 and 115? Ans: 4.What score would you need in order to be at the 90th percentile? Ans: ~120.5

24 1. What percent of the cups contain less than 9.9 oz.?
The amount of soda dispensed by a machine is normally distributed with m = 10 oz. and s = 0.05 1. What percent of the cups contain less than 9.9 oz.? Ans: 2. What percent of the cups contain more than oz.? Ans: 3. What percent of the cups contain between and oz.? Ans:

25 Normal Distribution Calculations Cautions!
From the viewpoint of statistics, in contrast to that of probability, we always think of our models as approximations rather than truth. Consider the SAT N(505, 110) , it can give reasonable accurate answers to interesting questions. However, it does not work very well in the extreme tails. For example, calculate the number of students in a population of 100,000 who score 835 or better.


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