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The table gives the number of yeast cells in a new laboratory culture.

The table gives the number of yeast cells in a new laboratory culture.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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(d) Compare the predicted values with the observed values, both in a table and with graphs. Use your logistic model to estimate the number of yeast cells after 17 hours. (Round your answer to the nearest number of cells.) yeast cells
Transcribed Image Text:(d) Compare the predicted values with the observed values, both in a table and with graphs. Use your logistic model to estimate the number of yeast cells after 17 hours. (Round your answer to the nearest number of cells.) yeast cells
The table gives the number of yeast cells in a new laboratory culture. Time (hours) Yeast cells Time (hours) Yeast cells 18 10 509 39 12 597 4 80 14 640 6 171 16 664 8 336 18 672 (a) Plot the data and use the plot to estimate the carrying capacity M for the yeast population. O M = 340 O M = 680 O M = 20 M = 0 M = 1200 (b) Use the data to estimate the initial relative growth rate. (Use the first two data points.) 0.583 (c) Find an exponential model for these data. (Use the relative growth rate found in part (b).) P(t) = 18e0.583t Find a logistic model for these data. (Use the relative growth rate found in part (b).) P(t) =
Transcribed Image Text:The table gives the number of yeast cells in a new laboratory culture. Time (hours) Yeast cells Time (hours) Yeast cells 18 10 509 39 12 597 4 80 14 640 6 171 16 664 8 336 18 672 (a) Plot the data and use the plot to estimate the carrying capacity M for the yeast population. O M = 340 O M = 680 O M = 20 M = 0 M = 1200 (b) Use the data to estimate the initial relative growth rate. (Use the first two data points.) 0.583 (c) Find an exponential model for these data. (Use the relative growth rate found in part (b).) P(t) = 18e0.583t Find a logistic model for these data. (Use the relative growth rate found in part (b).) P(t) =
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