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The Normal Distribution

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Cereal boxes are labeled 16 oz. The boxes are filled by a machine. ... What is the probability a box of cereal is underfilled? ... Moving to Random Sample ... – PowerPoint PPT presentation

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Title: The Normal Distribution


1
Chapter 6
  • The Normal Distribution

2
Normal Distributions
  • Bell Curve
  • Area under entire curve 1 or 100
  • Mean Median
  • This means the curve is symmetric

3
Normal Distributions
  • Two parameters
  • Mean µ (pronounced meeoo)
  • Locates center of curve
  • Splits curve in half
  • Shifts curve along x-axis
  • Standard deviation s (pronounced sigma)
  • Controls spread of curve
  • Smaller s makes graph tall and skinny
  • Larger s makes graph flat and wide
  • Ruler of distribution
  • Write as N(µ,s)

4
(No Transcript)
5
Standard Normal (Z) World
  • Perfectly symmetric
  • Centered at zero
  • Half numbers below the mean and half above.
  • Total area under the curve is 1.
  • Can fill in as percentages across the curve.

6
Standard Normal Distribution
  • Puts all normal distributions on same scale
  • z has center (mean) at 0
  • z has spread (standard deviation) of 1

7
Standard Normal Distribution
  • z of standard deviations away from mean µ
  • Negative z, number is below the mean
  • Positive z, number is above the mean
  • Written as N(0,1)

8
Portal from X-world to Z-world
  • z has no units (just a number)
  • Puts variables on same scale
  • Center (mean) at 0
  • Spread (standard deviation) of 1
  • Does not change shape of distribution

9
Standardizing Variables
  • z of standard deviations away from mean
  • Negative z number is below mean
  • Positive z number is above mean

10
Standardizing
  • Y N(70,3). Standardize y 68.
  • y 68 is 0.67 standard deviations below the mean

11
Your Table is Your Friend
  • Get out your book and find your Z-table.
  • Look for a legend at the top of the table.
  • Which way does it fill from?
  • Find the Z values.
  • Find the middle of the table.
  • These are the areas or probabilities as you move
    across the table.
  • Notice they are 50 in the middle and 100 at the
    end.

12
Areas under curve
  • Another way to find probabilities when values are
    not exactly 1, 2, or 3 ? away from µ is by using
    the Normal Values Table
  • Gives amount of curve below a particular value of
    z
  • z values range from 3.99 to 3.99
  • Row ones and tenths place for z
  • Column hundredths place for z

13
Finding Values
  • What percent of a standard Normal curve is found
    in the region Z lt -1.50?
  • P(Z lt 1.50)
  • Find row 1.5
  • Find column .00
  • Value 0.0668

14
Finding Values
  • P(Z lt 1.98)
  • Find row 1.9
  • Find column .08
  • Value 0.9761

15
Finding values
  • What percent of a std. Normal curve is found in
    the region Z gt-1.65?
  • P(Z gt -1.65)
  • Find row 1.6
  • Find column .05
  • Value from table 0.0495
  • P(Z gt -1.65) 0.9505

16
Finding values
  • P(Z gt 0.73)
  • Find row 0.7
  • Find column .03
  • Value from table 0.7673
  • P(Z gt 0.73) 0.2327

17
Finding values
  • What percent of a std. Normal curve is found in
    the region 0.5 lt Z lt 1.4?
  • P(0.5 lt Z lt 1.4)
  • Table value 1.4 0.9192
  • Table value 0.5 0.6915
  • P(0.5 lt Z lt 1.4) 0.9192 0.6915 0.2277

18
Finding values
  • P(2.3 lt Z lt 0.05)
  • Table value 0.05 0.4801
  • Table value 2.3 0.0107
  • P(2.3 lt Z lt 0.05) 0.4801 0.0107
    0.4694

19
Finding values
  • Above what z-value do the top 15 of all z-value
    lie, i.e. what value of z cuts offs the highest
    15?
  • P(Z gt ?) 0.15
  • P(Z lt ?) 0.85
  • z 1.04

20
Finding values
  • Between what two z-values do the middle 80 of
    the obs lie, i.e. what values cut off the middle
    80?
  • Find P(Z lt ?) 0.10
  • Find P(Z lt ?) 0.90
  • Must look inside the table
  • P(Zlt-1.28) 0.10
  • P(Zlt1.28) 0.90

21
Solving Problems
  • The height of men is known to be normally
    distributed with mean 70 and standard deviation
    3.
  • Y N(70,3)

22
Solving Problems
  • What percent of men are shorter than 66 inches?
  • P(Y lt 66) P(Zlt ) P(Zlt-1.33)
    0.0918

23
Solving Problems
  • What percent of men are taller than 74 inches?
  • P(Y gt 74) 1-P(Ylt74) 1 P(Zlt
    ) 1 P(Zlt1.33) 1 0.9082
    0.0918

24
Solving Problems
  • What percent of men are between 68 and 71 inches
    tall?
  • P(68 lt Y lt 71) P(Ylt71) P(Ylt68)P(Zlt
    )-P(Zlt )P(Zlt0.33) -
    P(Zlt-0.67) 0.6293 0.2514 0.3779

25
Solving Problems
  • Scores on SAT verbal are known to be normally
    distributed with mean 500 and standard deviation
    100.
  • X N(500,100)

26
Solving Problems
  • Your score was 650 on the SAT verbal test. What
    percentage of people scored better?
  • P(X gt 650) 1 P(Xlt650) 1 P(Zlt
    )
  • 1 P(Zlt1.5) 1 0.9332
    0.0668

27
Solving Problems
  • To solve a problem where you are looking for
    y-values, you need to rearrange the standardizing
    formula

28
Solving Problems
  • What would you have to score to be in the top 5
    of people taking the SAT verbal?
  • P(X gt ?) 0.05?
  • P(X lt ?) 0.95?

29
Solving Problems
  • P(Z lt ?) 0.95?
  • z 1.645
  • x is 1.645 standard deviations above mean
  • x is 1.645(100) 164.5 points above mean
  • x 500 164.5 664.5
  • SAT verbal score at least 670

30
Solving Problems
  • Between what two scores would the middle 50 of
    people taking the SAT verbal be?
  • P(x1 ? lt X lt x2?) 0.50?
  • P(-0.67 lt Z lt 0.67) 0.50
  • x1 (-0.67)(100)500 433
  • x2 (0.67)(100)500 567

31
Solving Problems
  • Cereal boxes are labeled 16 oz. The boxes are
    filled by a machine. The amount the machine
    fills is normally distributed with mean 16.3 oz
    and standard deviation 0.2 oz.

32
Solving Problems
  • What is the probability a box of cereal is
    underfilled?
  • Underfilling means having less than 16 oz.
  • P(Y lt 16) P(Zlt ) P(Zlt
    -1.5) 0.0668

33
Moving to Random Sample
  • Even when we assume a variable is normally
    distributed if we take a random sample we need to
    adjust our formula slightly.

34
Determining Normality
  • If you need to determine normality I want you to
    use your calculators to make a box plot and to
    look for symmetry.
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