1 / 18

AP Statistics

AP Statistics. 2.1 Density Curves and the Normal Distribution. Learning Objective. Differentiate between a density curve and a histogram Understand where mean and median lie on curves that are symmetric, skewed right, and skewed left .

penny
Download Presentation

AP Statistics

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. AP Statistics 2.1 Density Curves and the Normal Distribution

  2. Learning Objective • Differentiate between a density curve and a histogram • Understand where mean and median lie on curves that are symmetric, skewed right, and skewed left. • Use a normal distribution to calculate the area under a curve

  3. How do we explore data with a single quantitative variable? • 1-Always plot your data: make a graph, usually a histogram or a stem plot. • 2-Look for the overall pattern (shape, center, spread) and for striking deviations such as outliers. • 3-Calculate a numerical summary to briefly describe the center and spread. • median-5 # summarymean-μ and σ We now add one more step! • 4-Sometimes the overall pattern of a large number of observations is so regular that we can describe it by a smooth curve.

  4. Mathematical Model • it is an idealized description. It gives a compact picture of the overall pattern of the data but ignores minor irregularities as well as many outliers.

  5. Density Curves versus Histograms • Density Curve The proportion of values that fall within an area under the curve. • Histogram Actual count of observations that fall within an interval

  6. A Density Curve is a curve that: - Is always on or above the horizontal axis - Has an area of exactly 1 underneath it. A density curve describes the overall pattern of a distribution. The area under the curve and any above range of values is the proportion of all observations that fall in that range. A normal curve is one that is symmetrically skewed.

  7. Density curves, like normal distributions come in many shapes. The following density curve is skewed to the right. • What does the shaded area mean? • The proportion of observations taking values between 9 and 10.

  8. The median is point where half the observations are on either side. The quartiles divide the area under the curve into quarters . The median of a symmetric density curve is at the center.

  9. What do we know about the mean and median of the following 3 curves? Draw lines to represent the mean and median on each curve. symmetrically skewedskewedto the right skewed to the left

  10. Ex: pg. 71 2.2 a-c 2.3a-d

  11. Normal Distributions 1- all normal dist. have the same overall shape (symmetric, single-peaked, bell shaped) • The exact density curve for a particular normal distribution is described by giving its: 1- mean (μ) • and 2- standard deviation (σ) μ=mu σ=sigma

  12. What happens to two normal curves with different standard deviations? • Draw a normal curve with μ=10 and σ=2 • Draw a normal curve with μ=10 and σ= 5 What do you notice? σ controls the spread. The larger σ, the more spread out the curve.

  13. The 68-95-99.7 rule • In a normal distribution with mean (µ) and standard deviation (σ): • -68% of observations fall within 1σ of μ. • -95% of observations fall within 2σof μ. • -99.7% of observations fall within 3σof μ.

  14. The average height of women is 64.5 inches with σ=2.5 • Draw a curve. 1-What height of women do the middle 68% fall? 2-What height is the 84th percentile? 3-What height is the highest 2.5% of women?

More Related