MATLAB Files developed for Math 151-2 Course in Mathematics for Life Science Students These files are to aid you in doing problems in this course. The below list is a brief description of what each .m file does: lesson1.m Plots leaf length and width histograms from data in l and w as well as graphs length vs. width lesson2.m Compares plots of leaf length and width and regressions of these for two different data sets: l and w vs. l3 and w3 stored in file leafstat.dat lesson3.m Using data on fat intake and artherosclerosis death rate in Norway, computes the regression line and correlation coefficient lesson3b.m Using data in correlat.mat this illustrates difference in linear regression when graphing x against y rather than y against x. lesson3c.m Using data in semilog.dat this illustrates the ability to do a linear regression on a semilog plot lesson3d.m Using data in loglog.dat this illustrates the ability to do a linear regression on a loglog plot lesson4.m Using data in co2dat.sh which gives Maona Loa atmospheric CO2 concentration annual averages from 1970-1990, this computes linear regression and estimates CO2 in years 2000 and 2100. co2plot.m Using data in co2datmo.dat which gives Maona Loa atmospheric CO2 concentration monthly data from 1965-1970, this just show plot to illustrate heartbeat of the planet. lesson5.m This illustrates eigenvalues and eigenvectors arising from a population projection model. It compares growth rate as measured by the eigenvalue to that from projecting the population forward 10 and 20 time periods. binomial.m Simulates a binomial distribution corresponding to coin tosses and compares theoretical mean and variance to that simulated. coints.m Simulates n tosses of a coin with probability p of getting a Head and 1-p of getting a Tail ordersta.m Simulates tosses of a coin with probability p of getting a Head and 1-p of getting a Tail and counts the time until the kth Head occurs. That is, this computes the kth order statistics. urn.m Simulates an urn with two-types of balls (1 and 2) and the rules are: choose a ball, replace the ball with itself and one other of the same type, repeat process. A Polya-urn scheme. levelcrs.m Simulates tosses of a coin with probability p of getting a Head and 1-p of getting a Tail and counts the time until either the kth Head occurs or the mth Tail. A level- crossing problem. level2.m Simulates tosses of a coin with probability p of getting a Head and 1-p of getting a Tail and determines the fraction of experiments in which k heads occur before m tails occur. Another level crossing example. exponen.m Solves the discrete logistic equation x(i+1)=a*x(i)+b analog.m Solves the discrete analog of the continuous logistic growth model x(i+1)=r*x(i)/(1+x(i)) logistic.m Solves the discrete logistic equation x(i+1)=r*x(i)*(1-x(i)) selectio.m Simulates selection in a one locus two allele model, with random mating, infinite population size, no mutation secdiff.m Solves general homogeneous second order difference equations of the form a x(n+1) + b x(n) + c x(n-1) = 0