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The Normal Distribution Chapter 2 Continuous Random Variable A continuous random variable: –Represented by a function/graph. –Area under the curve represents.

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Presentation on theme: "The Normal Distribution Chapter 2 Continuous Random Variable A continuous random variable: –Represented by a function/graph. –Area under the curve represents."— Presentation transcript:

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2 The Normal Distribution Chapter 2

3 Continuous Random Variable A continuous random variable: –Represented by a function/graph. –Area under the curve represents the proportions of the observations –Total area is exactly 1. How do we locate the median for a continuous random variable? the mean? The median is the value that divides the graph into equal area while the mean is the “balance” point.

4 Continuous Random Variable 1 What percent of the observations lie below 0.4? 0.5 0.4 A=.4(1)=0.4 40%

5 Continuous Random Variable 2 What proportion of the observations lie above 0.6? 0.6 A= 1.4(.5)=0.7 Notice, to find proportion for observation above, we can use the complement rule.

6 Continuous Random Variable 3 Where is the mean and median? How will the curve change as  changes?

7 Normal Distributions Symmetric, single-peaked, and mound-shaped distributions are called normal distributions Normal curves: –Mean = median –The mean  and standard deviation  completely determine the shape Fathom

8 The Normal Curve Will finding proportions work different than previous random variable examples? Empirical Rule Discovery

9 68% of observations fall within 1  of 

10 95% of observations fall within 2  of 

11 99.7% of observations fall within 3  of 

12 68-95-99.7 Rule Applet

13 68-95-99.7 Rule 34% 13.5% 2.35%.15% Applet

14 Percentiles? 34% 13.5% 2.35% 50 th 84 th 16 th

15 What’s Normal in Statistics? Normal distributions are good descriptions for real data allowing measures of relative position to be easily calculated (i.e. percentiles) Much of statistical inference (in this course) procedures area based on normal distributions FYI: many distributions aren’t normal

16 Distribution of dates is approximately normal with mean 1243 and standard deviation of 36 years. 124312791315 135112071135 1171

17 Assume the heights of college women are normally distributed with a mean of 65 inches and standard deviation of 2.5 inches. 6567.570 72.562.557.5 60

18 What percentage of women are taller than 65 in.? 6567.570 72.562.557.5 60 50%

19 What percentage of women are shorter than 65 in.? 6567.570 72.562.557.5 60 50%

20 What percentage of women are between 62.5 in. and 67.5 in.? 6567.570 72.562.557.5 60 68%

21 What percentage of women are between 60 in. and 70 in.? 6567.570 72.562.557.5 60 95%

22 What percentage of women are between 60 and 67.5 in? 6567.570 72.562.557.5 60 68% 13.5% 81.5%

23 What percentage of women are shorter than 70 in.? 6567.570 72.562.557.5 60 50% 34% 97.5% 13.5%


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