(part a is in the pic)part bgiven the two models, at what time do the teams predict their populations will be the same? what is that population? find the exact answer and an approximation.part cyou conduct your own study, starting with 200 bacteria, and find that in 10 hours, there are 257 bacteria. which is the teams' modes, if either, is supported by this outcome? explain Performance TaskModeling Bacterial GrowthProvide a clear solution to the problem. Be sure to show all of your work,include all relevant drawings, and justify your answers.You are in charge of a team of scientists studying a new disease caused byBacteria Q. You divided your team into two groups and asked each to model howa population of Bacteria Qgrows with time. The toams derived the aquationsQ,(e) = 150e and Q,(t) = 170e^0s, where t represents time in hours andQrepresents bacterial population.Part AUse a graphing calculator to help sketch the functions Q,(t) and Qt) on the grid below.Describe what the parameters in each equation represent. Which is the more importantparameter? Explain.Go05o0400300200100

Q1=150e0.03t and Q2=170e0.025t where t represents time in hours and Q represents the population.To…

You are in charge of a team of scientists studying a new disease caused by Bacteria Q You divided your team into two groups and asked each to model how a population of Bacteria Qgraws with time. The teams derived the equations Q,(e) – 150e00» and Q,(t) – 170eª2", wheretrepresents time in hours and Qrepresents bacterial population.

You are in charge of a team of scientists studying a new disease caused by Bacteria Q You divided your team into two groups and asked each to model how a population of Bacteria Qgraws with time. The teams derived the equations Q,(e) – 150e00» and Q,(t) – 170eª2", wheretrepresents time in hours and Qrepresents bacterial population.

Trigonometry (MindTap Course List)

10th Edition

ISBN:9781337278461

Author:Ron Larson

Publisher:Ron Larson

Chapter5: Exponential And Logarithmic Functions

Section5.5: Exponential And Logarithmic Models

Problem 32E

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