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Create a graph that represents a population undergoing logistic and exponential growth. Properly label the x and y axis of your graphs

Case Studies In Health Information Management

3rd Edition

ISBN:9781337676908

Author:SCHNERING

Publisher:SCHNERING

Chapter7: Healthcare Statistics And Research Methods

Section: Chapter Questions

Problem 7.14.4C

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Concept explainers

Population Growth

R and K Selection

R and K selection are concepts in ecology used to describe traits in the fluctuation of a population or population dynamics. For example, they describe the life-association traits between parent and offspring, such as quantity or number of young ones born at a time, quality of parental care, the age to maturity, and reproductive effort.

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Draw a graph with a growth curve for a population that starts at 10 individuals and experiences exponential growth. Draw a second graph with a growth curve for a population that starts with 10 individuals and undergoes logistic growth. The second graph should have a carrying capacity of 100 individuals. Please give a proper written explanation for the graphs.
You will need to complete this question on a separate piece of paper. Scan or take a picture of it and upload the answer. Suppose you have a population of bats growing according to the logistic equation. If the carrying capacity is 400 bats, Demonstrate at which population sizes in relation to K will the population have - a positive growth, negative growth or stable growth. A Create a graph of dN/dt vs N (be sure to label the axes) for this (ii) - Use arrows to population of bats. Indicate on the graph - (i)- k, indicate when the instantaneous rate of change the highest and when is it stable (be sure to label the arrows). B . Provide a brief explanation for why your graph looks the way C that it does.
The logistic model incorporates carrying capacity to make the model exponential
Which growth model would you expect to see in a stable population? Select one: Exponential Speculative Factorial Logistic
The per capita birth (b) and death (d) rates are measured for two populations across a range of population sizes in the attached figure. The equation for exponential growth rate is dN/dt=rN where the per capita growth rate is r=(b-d). The equation for logistic population growth rate is dN/dt=rN(1-N/K). With logistic growth, r varies as a function of the population size with density-dependent birth and/or death rates. See attached image If the death rate decreased, what would happen to the population trajectory for population A? a) increase faster b) increase slower c) decrease faster d) decrease slower
Write a model for discrete population growth from t=0 to t=1. Assume that the population is ‘closed’. Define your terms.
The logistic model incorporates carrying capacity to make the model exponential density-dependent random density-independent
bartleby SEARCH https://www.bartleby.com/questio... ASK AN EXPERT Science >> Biology » The logistic model incorporates carrying capacity to make the moc Question exponential The logistic model incorporates carrying capacity to make the model random density-dependent LIVE TUTORING density-independent Transcribed Image Text: The logistic model incorporates carrying capacity to make the model exponentia dependent random density-independent Type here to search HA
When does the growth rate of a population following the logistic model equal zero?the logistic model is given as dN/dt = rN (1-N/K)
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The following statements are either true or false. Indicate true or false and justify your answer briefly. An unbiased estimator is said to be consistent if the difference between the estimator and the population parameter grows smaller as the sample size grows larger. An unbiased estimator is a sample statistic whose expected value equals the population parameter. Knowing that an estimator is unbiased neither assures us that its expected value equals the population parameter, nor does it tell us how close the estimator is to the population parameter. A specific confidence interval obtained from sample data will always correctly estimate the population parameter.
The following equation is used to calculate the population growth rate, Ro, per generation from a life table. Iy is survival probability from birth to age x and my is fecundity at age x. Ro = Elkm Multiplying ly and my and summing it over all age categories in the life table gives the population growth rate per generation because: Calculating the reproductive output for each age class requires considering the survival probability to that age (a dead individual does not reproduce) and the fecundity at that age by multiplying them with each other. Summing over reproductive output for all age classes gives the total per capita growth rate of the population The fecundity at each age is lower when the survival is higher because of energy constraints. Multiplying probability of survival and fecundity in each age class takes this trade-off into account. Summing over reproductive output for all age classes gives the total per capita growth rate of the population The resulting type of growth…