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QUESTION 2. Below is a table of the population (in 100s) of a yeast colony at one hour intervals. Time Population Time Population Time Population 1 0.096 7 1.746 13 5.948 8 2.573 6.294 9 6.408 6.511 6.559 6.596 2 3 4 5 6 0.183 0.290 0.472 0.711 1.191 3.507 4.410 5.133 5.597 17 18 12 Follow as in Section 3.5.3 of the notes to fit this data to a discrete-time logistic growth function. Use p = 2 in your error function. You do not need to implement a LASSO method, i.e. just take X = 0. What is the predicted carrying capacity of the population? Is it stable?

QUESTION 2. Below is a table of the population (in 100s) of a yeast colony at one hour intervals. Time Population Time Population Time Population 1 0.096 7 1.746 13 5.948 8 2.573 6.294 9 6.408 6.511 6.559 6.596 2 3 4 5 6 0.183 0.290 0.472 0.711 1.191 3.507 4.410 5.133 5.597 17 18 12 Follow as in Section 3.5.3 of the notes to fit this data to a discrete-time logistic growth function. Use p = 2 in your error function. You do not need to implement a LASSO method, i.e. just take X = 0. What is the predicted carrying capacity of the population? Is it stable?

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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QUESTION 2. Below is a table of the population (in 100s) of a yeast colony at one hour intervals. Time Population Time Population Time Population 1 0.096 7 1.746 13 5.948 8 2.573 6.294 9 6.408 6.511 6.559 6.596 2 3 4 5 6 0.183 0.290 0.472 0.711 1.191 3.507 4.410 5.133 5.597 17 18 12 Follow as in Section 3.5.3 of the notes to fit this data to a discrete-time logistic growth function. Use p = 2 in your error function. You do not need to implement a LASSO method, i.e. just take X = 0. What is the predicted carrying capacity of the population? Is it stable?
Transcribed Image Text:QUESTION 2. Below is a table of the population (in 100s) of a yeast colony at one hour intervals. Time Population Time Population Time Population 1 0.096 7 1.746 13 5.948 8 2.573 6.294 9 6.408 6.511 6.559 6.596 2 3 4 5 6 0.183 0.290 0.472 0.711 1.191 3.507 4.410 5.133 5.597 17 18 12 Follow as in Section 3.5.3 of the notes to fit this data to a discrete-time logistic growth function. Use p = 2 in your error function. You do not need to implement a LASSO method, i.e. just take X = 0. What is the predicted carrying capacity of the population? Is it stable?
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