{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

4.5_bzca5e

# 4.5_bzca5e - Section 4.5 Exponential Growth and Decay...

This preview shows pages 1–11. Sign up to view the full content.

Section 4.5 Exponential Growth and Decay; Modeling Data

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Exponential Growth and Decay

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Example 0 The equation A=A models growth of a deer population in a small local preserve. If the initial population is 14 deer and the population grows to 20 in 4 years, find the value of k, the rate of growt kt e h.
Logistic Growth Models

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Example If the following logistic equation models the number of people who become infected with noro virus on a small cruise ship off the coast of Alaska, how many people will become ill by the second week if t 1.5 is given in weeks. 500 f(t)= 1 t e - +

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
The Art of Modeling

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Graphing Calculator - Exponential Regression Press STAT then EDIT 1. Type in the values in List 1 (x values) and List 2 (y values). Then STAT, move over to CALC and press 0. You will get values for a, b, r and r 2 . The values of a and b go into the equation y= a*b^x or y=ab x . When you use a graphing utility the value of MAY appear. This is called the correlation coefficient and is a measure of how well the model fits the data.
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}