Solutions Modeling Dynamics of Life 3ed Adler - Chapter 8.7

8.7.1 Suppose that the number N of molecules of toxin left in a cell after 10.0 min is thought to follow the probability distribution with Pr(N = 0) = 0.4, Pr(N = 1) = 0.3, Pr(N = 2) = 0.2, and Pr(N = 3) = 0.1 (as in Example 6.3.11). Test whether the following data fit the expectation from this extrinsic hypothesis. There are 35 cells with no molecules, 25 with one molecule, 25 with two molecules, and 15 with three molecules.
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8.7.2 Suppose that the number N of molecules of toxin left in a cell after 10.0 min is thought to follow the probability distribution with Pr(N = 0) = 0.4, Pr(N = 1) = 0.3, Pr(N = 2) = 0.2, and Pr(N = 3) = 0.1 (as in Example 6.3.11). Test whether the following data fit the expectation from this extrinsic hypothesis. There are 25 cells with no molecules, 21 with one molecule, 19 with two molecules, and 15 with three molecules.
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8.7.4 Suppose that the number N of molecules of toxin left in a cell after 10.0 min is thought to follow the probability distribution with Pr(N = 0) = 0.4, Pr(N = 1) = 0.3, Pr(N = 2) = 0.2, and Pr(N = 3) = 0.1 (as in Example 6.3.11). Test whether the following data fit the expectation from this extrinsic hypothesis. Consider again the data in Exercise 2, but suppose that we can only distinguish cells with no molecules from those with at least one. Find how many cells are in each of these two categories and compare with the appropriate extrinsic hypothesis. Why might the test give a different result than with the unpooled data?
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8.7.4 Suppose that the number N of molecules of toxin left in a cell after 10.0 min is thought to follow the probability distribution with Pr(N = 0) = 0.4, Pr(N = 1) = 0.3, Pr(N = 2) = 0.2, and Pr(N = 3) = 0.1 (as in Example 6.3.11). Test whether the following data fit the expectation from this extrinsic hypothesis. Consider again the data in Exercise 2, but suppose that we can only distinguish cells with no molecules from those with at least one. Find how many cells are in each of these two categories and compare with the appropriate extrinsic hypothesis. Why might the test give a different result than with the unpooled data?
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8.7.5 The number of molecules remaining in a cell is thought to follow a binomial distribution with the given parameter. In each case, find whether there is reason to reject this model. Suppose there are three molecules, and that the probability of remaining is thought to be p = 0.6. In a sample of 80 cells, we find 10 with 0 molecules, 20 with 1 molecule, 30 with 2 molecules, and 20 with 3 molecules.
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8.7.6 The number of molecules remaining in a cell is thought to follow a binomial distribution with the given parameter. In each case, find whether there is reason to reject this model. Suppose there are 4 molecules, and that the probability of a molecule’s remaining is thought to be p = 0.6. In a sample of 80 cells, we find 5 with no molecules, 20 with one molecule, 20 with two molecules, 20 with three molecules, and 15 with four molecules.
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8.7.7 Compute the statistic ... in the earlier exercise using the continuity correction. Does it alter the conclusions? The situation in Exercise 5.
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8.7.8 Compute the statistic ... in the earlier exercise using the continuity correction. Does it alter the conclusions? The situation in Exercise 6.
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8.7.9 Suppose that the data in Exercises 5 and 6 are thought to follow a binomial distribution with an unknown parameter. Estimate this parameter and test whether the data fit the resulting model. The situation in Exercise 5.
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8.7.10 Suppose that the data in Exercises 5 and 6 are thought to follow a binomial distribution with an unknown parameter. Estimate this parameter and test whether the data fit the resulting model. The situation in Exercise 6.
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8.7.11 Consider the following data, which were supposedly generated from 200 replicates of a Poisson process. ... Test the extrinsic hypothesis that Λ= 4.5 for experiment 1.
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8.7.12 Consider the following data, which were supposedly generated from 200 replicates of a Poisson process. ... Test the extrinsic hypothesis that Λ = 4.0 for experiment 2
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8.7.13 Consider the following data, which were supposedly generated from 200 replicates of a Poisson process. ... Test the intrinsic hypothesis that the data follow a Poisson distribution for experiment 1.
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8.7.15 Consider again the data on mites and lice from Example 8.7.14. ... Find the probabilities for each term in the table, and find the conditional distributions. The distribution of the number of lice conditional on 0, 1, and 2 mites. How different are the conditional distributions, and would they lead you to suspect that the two pests do not act independently?
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8.7.15 Consider again the data on mites and lice from Example 8.7.14. ... Find the probabilities for each term in the table, and find the conditional distributions. The distribution of the number of lice conditional on 0, 1, and 2 mites. How different are the conditional distributions, and would they lead you to suspect that the two pests do not act independently?
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8.7.16 Consider again the data on mites and lice from Example 8.7.14. ... Find the probabilities for each term in the table, and find the conditional distributions. The distribution of the number of mites conditional on 0, 1, and 2 lice. How different are the conditional distributions, and would they lead you to suspect that the two pests do not act independently?
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8.7.17 Test the following tables for independence. Consider the following data on mating in birds. ... Do matings deviate from independence, and what might it mean?
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8.7.18 Test the following tables for independence. Consider the following data on student class attendance. ... Is attendance independent, and if not, what might it mean?
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8.7.19 The significance of deviations from the null hypothesis depends on the sample size. Conduct a ... test for the following samples based on Example 8.7.1. Suppose that 20% of diseased people tested have a particular allele (this would, of course, vary in a series of real experiments), and that 13% of healthy people are known to have the allele. Suppose we tested only 50 diseased people. Find the significance of the result and compare to the results with a sample size of 100.
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8.7.20 The significance of deviations from the null hypothesis depends on the sample size. Conduct a ... test for the following samples based on Example 8.7.1. Suppose that 20% of diseased people tested have a particular allele (this would, of course, vary in a series of real experiments), and that 13% of healthy people are known to have the allele. Suppose we tested 200 diseased people. Find the significance and compare to the results with a sample size of 100.
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8.7.21 The significance of deviations from the null hypothesis depends on the sample size. Conduct a ... test for the following samples based on Example 8.7.1. Suppose that 20% of diseased people tested have a particular allele (this would, of course, vary in a series of real experiments), and that 13% of healthy people are known to have the allele. Suppose we tested n diseased people. Compute ... as a function of n. Does it increase proportionally to the sample size?
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8.7.22 The significance of deviations from the null hypothesis depends on the sample size. Conduct a ... test for the following samples based on Example 8.7.1. Suppose that 20% of diseased people tested have a particular allele (this would, of course, vary in a series of real experiments), and that 13% of healthy people are known to have the allele. Suppose we tested n diseased people. How many people would we need to test to find a result significant at the 0.01 level?
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8.7.23 A random variable ...follows a ... distribution with ν degrees of freedom if ... where ...follow the standard normal distribution. Find the expectation of ....
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8.7.24 A random variable ...follows a ... distribution with ν degrees of freedom if ... where ...follow the standard normal distribution. Find the expectation of ... .
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8.7.25 A random variable ...follows a ... distribution with ν degrees of freedom if ... where ...follow the standard normal distribution. Compute the critical value for p = 0.05 with 1 degree of freedom.
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8.7.26 A random variable ...follows a ... distribution with ν degrees of freedom if ... where ...follow the standard normal distribution. Remarkably enough, ... is an exponential distribution. Using the mean found in Exercise 24, find the parameter of this distribution, and compute the critical value for p = 0.05.
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8.7.27 Use the ...test to check whether the control and treatment differ in the following contingency tables. Consider the following data on the behavior of 50 wild type and 100 mutant worms. ...
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8.7.28 Use the ...test to check whether the control and treatment differ in the following contingency tables. Consider the following data on the behavior of 100 wild type and 150 mutant worms. ...
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8.7.29 Use the ...test to check whether the control and treatment differ in the following contingency tables. Consider the following data on the behavior of 80 wild type and 120 mutant worms. ...
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8.7.30 Use the ...test to check whether the control and treatment differ in the following contingency tables. Consider the following data on the behavior of 100 wild type and 125 mutant worms. ...
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8.7.31 A recessive allele is expected to be expressed in 25% of offspring from a cross of heterozygous plants. Check whether the following data are consistent with this hypothesis. Ten out of 60 plants are homozygous for the recessive allele.
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8.7.32 A recessive allele is expected to be expressed in 25% of offspring from a cross of heterozygous plants. Check whether the following data are consistent with this hypothesis. Twenty-one out of 120 plants are homozygous for the recessive allele.
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8.7.33 Suppose that plants with genotype WW have white flowers, those with genotype WR or RW have pink flowers, and those with genotype RR have red flowers. Two RW plants are crossed. Check whether the following data are consistent with the expected ratios. If not, try to explain why. Out of 90 offspring, there are 18 white, 40 pink, and 32 red.
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8.7.34 Suppose that plants with genotype WW have white flowers, those with genotype WR or RW have pink flowers, and those with genotype RR have red flowers. Two RW plants are crossed. Check whether the following data are consistent with the expected ratios. If not, try to explain why. Suppose 10 additional plants had been measured in Exercise 33, and there were 3 pink ones and 7 red ones.
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8.7.35 Suppose two traits are controlled by two unlinked loci (so the phenotypes are independent), one for flower color and one for height. Check whether the following data are consistent with the expected numbers in the following scenarios. Suppose that both yellow flower color and shortness are recessive, with white flower color and tallness expressed in the dominant plants. Two parents that are heterozygous for these two traits are crossed, and 80 offspring are checked. Of these, 3 have yellow flowers and are short, 12 have yellow flowers and are tall, 17 have white flowers and are short, and 48 have white flowers and are tall.
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8.7.36 Suppose two traits are controlled by two unlinked loci (so the phenotypes are independent), one for flower color and one for height. Check whether the following data are consistent with the expected numbers in the following scenarios. Suppose that both yellow flower color and shortness are recessive, with white flower color and tallness expressed in the dominant plants. Two parents that are heterozygous for these two traits are crossed, and 87 offspring are checked. Of these, 11 have yellow flowers and are short, 8 have yellow flowers and are tall, 13 have white flowers and are short, and 55 have white flowers and are tall.
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8.7.37 An ecologist counts the numbers of jack rabbits and eagles observed, and wishes to know whether they are independent (as in Section 6.4, Exercises 27 and 28). E represents the number of eagles seen, and J the number of jackrabbits. Use the ... test to check. Eighty counts are made, with the following results. ... Are the results significant? Compare with Section 7.1,
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8.7.38 An ecologist counts the numbers of jack rabbits and eagles observed, and wishes to know whether they are independent (as in Section 6.4, Exercises 27 and 28). E represents the number of eagles seen, and J the number of jackrabbits. Use the ... test to check. Eighty counts are made, with the following results. ... Are the results significant? Compare with Section 7.1, Exercise 28.
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8.7.39 Recall the falcon data studied in Example 8.7.15, where 44 families of two birds were studied, and 14 had no males, 14 had one male, and 16 had 2 males. However, now assume that the order of birth is taken into account, so that there are four possible families (the first offspring could be male or female as could the second). Write a table and evaluate for lack of independence in the following cases, and compare with the results in Example 8.7.15. Of the 14 females with one male, 7 had a male first.
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8.7.40 Recall the falcon data studied in Example 8.7.15, where 44 families of two birds were studied, and 14 had no males, 14 had one male, and 16 had 2 males. However, now assume that the order of birth is taken into account, so that there are four possible families (the first offspring could be male or female as could the second). Write a table and evaluate for lack of independence in the following cases, and compare with the results in Example 8.7.15. Of the 14 females with one male, 3 had a male first.
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