1 / 14

Bennie Waller wallerbd@longwood 434-395-2046

Bennie Waller wallerbd@longwood.edu 434-395-2046 Longwood University 201 High Street Farmville, VA 23901. Bennie Waller wallerbd@longwood.edu 434-395-2046 Longwood University 201 High Street Farmville, VA 23901. Continuous Distributions.

seda
Télécharger la présentation

Bennie Waller wallerbd@longwood 434-395-2046

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. Bennie Waller wallerbd@longwood.edu 434-395-2046 Longwood University201 High StreetFarmville, VA 23901

  2. Bennie Waller wallerbd@longwood.edu 434-395-2046 Longwood University201 High StreetFarmville, VA 23901

  3. Continuous Distributions Characteristics of a Normal Probability Distribution • It is bell-shaped. • It is symmetricalabout the mean • It is asymptotic: • The location of a normal distribution is determined by the mean,, the dispersion is determined by the standard deviation,σ . • The arithmetic mean, median, and mode are equal • The total area under the curve is 1.00; half the area under the normal curve is to the right of this center point, the mean, and the other half to the left of it. 7-3

  4. Equal Means and Different Standard Deviations

  5. The Standard Normal Probability Distribution • The standard normal distribution is a normal distribution with a mean of 0 and a standard deviation of 1. • It is also called the z distribution. • A z-value is the signed distance between a selected value, designated X, and the population mean , divided by the population standard deviation, σ. • The formula is: 7-8

  6. Areas Under the Normal Curve

  7. Problem: The weight of a bag of corn chips is normally distributed with a mean of 22 ounces and a standard deviation of ½ ounces. What is the probability that a bag of corn chips weighs more than 23 ounces?  

  8. Problem: A sample of 500 evening students revealed that their annual incomes were normally distributed with a mean income of $30,000 and a standard deviation of $3,000. How many students earned between $27,000 and $33,000?

  9. Problem: The weight of a bag of corn chips is normally distributed with a mean of 22 ounces and a standard deviation of ½ ounces. What is the probability that a bag of corn chips weighs between 20.75 and 23.25 ounces?  

More Related