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Density Curves and Normal DistributionsPowerPoint Presentation

Density Curves and Normal Distributions

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Density Curves and Normal Distributions. Section 2.1.

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### Density Curves and Normal Distributions

Section 2.1

Sometimes the overall pattern of a distribution can be described by a smooth curve. This histogram shows the distribution of vocab scores. We could use it to see how many students scored at each value, or what percent of students got 4’s, above 10, etc.

Density Curves described by a smooth curve. This histogram shows the distribution of vocab scores. We could use it to see how many students scored at each value, or what percent of students got 4’s, above 10, etc.

- A density curve is an idealized mathematical model for a set of data.
- It ignores minor irregularities and outliers

Density Curves described by a smooth curve. This histogram shows the distribution of vocab scores. We could use it to see how many students scored at each value, or what percent of students got 4’s, above 10, etc.

Page 79-80

Density Curves described by a smooth curve. This histogram shows the distribution of vocab scores. We could use it to see how many students scored at each value, or what percent of students got 4’s, above 10, etc.

Page 79-80

0.303

0.293

Density Curve described by a smooth curve. This histogram shows the distribution of vocab scores. We could use it to see how many students scored at each value, or what percent of students got 4’s, above 10, etc.

- Always on or above the horizontal axis
- Has an area of exactly 1 underneath it

Types of Density Curves described by a smooth curve. This histogram shows the distribution of vocab scores. We could use it to see how many students scored at each value, or what percent of students got 4’s, above 10, etc.

- Normal curves
- Uniform density curves
- Later we’ll see important density curves that are skewed left/right and other curves related to the normal curve

Density Curve described by a smooth curve. This histogram shows the distribution of vocab scores. We could use it to see how many students scored at each value, or what percent of students got 4’s, above 10, etc.

Area = 1, corresponds to 100% of the data

- What would the results look like if we rolled a fair die 100 times?
- Press STAT ENTER
- Choose a list: highlight the name and press ENTER.
- Type: MATH PRB 5:randInt(1,6,100) ENTER
- Look at a histogram of the results: 2ND Y= ENTER
- Press WINDOW and change your settings
- Press GRAPH. Use TRACE button to see heights.

30% or 0.3 times?

20% or 0.2

10% or 0.1

Relative Frequency

1 2 3 4 5 6

Outcomes

- What would the results look like if we rolled a fair die 100 times?

In a perfect world… times?

- The different outcomes when you roll a die are equally likely, so the ideal distribution would look something like this:

An example of a uniform density curve.

Other Density Curves times?

- What percent of observations are between 0 and 2? (area between 0 and 2)

Area of rectangle: 2(.2) = .4

Area of triangle: ½ (2)(.2) = .2

Total Area = .4 + .2 = .6 = 60%

Other Density Curves times?

- What percent of observations are between 3 and 4?

Area: (1)(.2) = .2 = 20%

Normal curve times?

Density Curves: Skewed times?

M

Median: the equal-areas point of the curve

Half of the area on each side

Density Curves: Skewed times?

Mean: the balance point of the curve (if it was made of solid material)

Mean and Median times?Of Density Curves

Just remember:

- Symmetrical distribution
- Mean and median are in the center

- Skewed distribution
- Mean gets pulled towards the skew and away from the median.

Notation times?

Since density curves are idealized, the mean and standard deviation of a density curve will be slightly different from the actual mean and standard deviation of the distribution (histogram) that we’re approximating, and we want a way to distinguish them

Notation times?

- For actual observations (our sample): use and s.
- For idealized (theoretical): use μ (mu) for mean and σ (sigma) for the standard deviation.

Normal Curves are always: times?

- Described in terms of their mean (µ) and standard deviation (σ)
- Symmetric
- One peak and two tails

Normal Curves times?

Concave down

Inflection points – points at which this change of curvature takes place.

Inflection point

σ

Concave up

µ

Normal Curves times?

The Empirical Rule times?

- 68% of the observations fall within σ of the mean µ.

68 % of data

-3 -2 -1 0 1 2 3

The Empirical Rule times?

- 99.7% of the observations fall within 3σof µ.

99.7% of data

-3 -2 -1 0 1 2 3

Heights of Young Women times?

- The distribution of heights of young women aged 18 to 24 is approximately normal with mean µ = 64.5 inches and standard deviation σ = 2.5 inches.

64.5 – 2.5 = 62

64.5 + 2.5 = 67

62 64.5 67 Height (in inches)

Heights of Young Women times?

- The distribution of heights of young women aged 18 to 24 is approximately normal with mean µ = 64.5 inches and standard deviation σ = 2.5 inches.

5

62 64.5 67 Height (in inches)

59.5 62 64.5 67 69.5

Height (in inches)

Heights of Young Women times?

- The distribution of heights of young women aged 18 to 24 is approximately normal with mean µ = 64.5 inches and standard deviation σ = 2.5 inches.

99.7% of data

62 64.5 67 Height (in inches)

59.5 62 64.5 67 69.5

Height (in inches)

Shorthand with Normal Dist. times?

- N(µ,σ)
Ex: The distribution of young women’s heights is N(64.5, 2.5).

What this means:

Normal Distribution centered at µ = 64.5 with a standard deviation σ = 2.5.

Heights of Young Women times?

- What percentile of young women are 64.5 inches or shorter?

50%

99.7% of data

57 59.5 62 64.5 67 69.5 72

Height (in inches)

Heights of Young Women times?

- What percentile of young women are 59.5 inches or shorter?

2.5%

99.7% of data

57 59.5 62 64.5 67 69.5 72

Height (in inches)

Heights of Young Women times?

- What percentile of young women are between 59.5 inches and 64.5 inches?

64.5 or less = 50%

59.5 or less = 2.5%

50% – 2.5% = 47.5%

99.7% of data

57 59.5 62 64.5 67 69.5 72

Height (in inches)

Practice times?

- For homework:
- 2.1, 2.3, 2.4 p. 83
- 2.6, 2.7, 2.8 p. 89

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