A density curve is the graph of a continuous probability distribution .

Post on 01-Jan-2016

17 views 0 download

Tags:

description

A density curve is the graph of a continuous probability distribution. Basic Properties of the Standard Normal Curve. 1. The total area under the standard normal curve is 1. - PowerPoint PPT Presentation

Transcript of A density curve is the graph of a continuous probability distribution .

A density curve is the graph of a continuous probability distribution.

Basic Properties of the Standard Normal Curve

1. The total area under the standard normal curve is 1

2. The standard normal curves extends indefinitely in both directions, approaching, but never touching , the horizontal axis.

3. The standard normal curve is symmetric about 0.

4. Almost all the area under the standard normal curve lies between -3 and 3.

Areas under the standard normal curve

Because the total area under the densitycurve is equal to 1, there is a correspondence between area and probability

If thermometers have an average (mean) reading of 0degrees and a standard deviation of 1 degree for freezing water, and if one thermometer is randomly selected, find the probability that, at the freezing point of water, the reading is less than 1.58 degrees

94.29% of the thermometers have readings less than 1.58 degrees.

94.29% of the thermometers have readings less than 1.58 degrees.

xz

If Z is a standard normal variable, find the probability that Z lies between 0.7 and 1.98.

A. 0.2175

B. -0.2181

C. 1.7341

D. 0.2181

If Z is a standard normal variable, find the probability that Z lies between 0.7 and 1.98.

A. 0.2175

B. -0.2181

C. 1.7341

D. 0.2181

Finding z Scores When Given Probabilities

(z score will be positive)

Z = 1.645

Converting to a Standard Normal Distribution

x – z =

The safe load for a water taxi was found to be 3500 pounds. All passengers are men. Assume also that the weights of the men are normally distributed with a mean of 172 pounds and standard deviation of 29 pounds. If one man is randomly selected, what is the probability he weighs less than 174 pounds?

z = 174 – 172

29 = 0.07 =29

= 172

P ( x < 174 lb.) = P(z < 0.07) = 0.5279

Using the calculator

120 110.83

12z