Solutions Modeling Dynamics of Life 3ed Adler - Chapter 8.6

8.6.1 ...
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8.6.2 ...
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8.6.3 ...
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8.6.4 ...
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8.6.5 Find the pooled variance for two populations with the following sample sizes and sample variances. ...
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8.6.6 Find the pooled variance for two populations with the following sample sizes and sample variances. ...
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8.6.7 Find the pooled variance for two populations with the following sample sizes and sample variances. ... Compare with the value in Exercise 5.
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8.6.8 Find the pooled variance for two populations with the following sample sizes and sample variances. ... Compare with the value in Exercise 6.
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8.6.9 Find the standard error of the difference of the means in each case. The situation in Exercise 5.
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8.6.10 Find the standard error of the difference of the means in each case. The situation in Exercise 6.
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8.6.11 Find the standard error of the difference of the means in each case. The situation in Exercise 7.
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8.6.12 Find the standard error of the difference of the means in each case. The situation in Exercise 8.
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8.6.13 Apply a two-tailed t test in the following cases. The situation in Exercise 9 with ...
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8.6.14 Apply a two-tailed t test in the following cases. The situation in Exercise 10 with ...
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8.6.15 Apply a two-tailed t test in the following cases. The situation in Exercise 11 with ...
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8.6.16 Apply a two-tailed t test in the following cases. The situation in Exercise 12 with ...
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8.6.17 Recall the data in Section 8.5, Exercises 1–4 describing 10 plants in an experimental plot. ... Suppose that these plants are being compared with populations in a control plot. Use a two-tailed test, and compare the p-values with those found in the earlier problem. There are ten plants in the control plot with mean weight 10.0, and the variance for weight in both populations is known to be 9.0. Compare with the results in Section 8.5, Exercise 1.
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8.6.18 Recall the data in Section 8.5, Exercises 1–4 describing 10 plants in an experimental plot. ... Suppose that these plants are being compared with populations in a control plot. Use a two-tailed test, and compare the p-values with those found in the earlier problem. There are ten plants in the control plot with mean height 36.5, and the variance for height in both populations is known to be 16.0. Compare with the results in Section 8.5, Exercise 2.
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8.6.19 Recall the data in Section 8.5, Exercises 1–4 describing 10 plants in an experimental plot. ... Suppose that these plants are being compared with populations in a control plot. Use a two-tailed test, and compare the p-values with those found in the earlier problem. There are 15 plants in the control plot with mean yield 8.2, and the variance for yield in both populations is known to be 6.25. Compare with the results in Section 8.5, Exercise 3.
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8.6.20 Recall the data in Section 8.5, Exercises 1–4 describing 10 plants in an experimental plot. ... Suppose that these plants are being compared with populations in a control plot. Use a two-tailed test, and compare the p-values with those found in the earlier problem. There are 20 plants in the control plot with mean seed number 15.0, and the variance for seed number in both populations is known to be 25.0. Compare with the results in Section 8.5, Exercise 4.
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8.6.21 Consider again the data in Exercises 17–20, but suppose that variances are unknown. Use the sample variance for the experimental population found in the earlier problem and the given sample variance for the control population to perform a t test on these unpaired populations. The ten plants in the control plot have mean weight 10.0 and sample variance 8.80. Compare with the results in Exercise 17.
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8.6.22 Consider again the data in Exercises 17–20, but suppose that variances are unknown. Use the sample variance for the experimental population found in the earlier problem and the given sample variance for the control population to perform a t test on these unpaired populations. The ten plants in the control plot have mean height 36.5 and sample variance of 17.2. Compare with the results in Exercise 18.
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8.6.23 Consider again the data in Exercises 17–20, but suppose that variances are unknown. Use the sample variance for the experimental population found in the earlier problem and the given sample variance for the control population to perform a t test on these unpaired populations. The 15 plants in the control plot have mean yield 8.2 and sample variance of 8.2. Compare with the results in Exercise 19.
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8.6.24 Consider again the data in Exercises 17–20, but suppose that variances are unknown. Use the sample variance for the experimental population found in the earlier problem and the given sample variance for the control population to perform a t test on these unpaired populations. The 20 plants in the control plot have mean seed number 15.0 and sample variance of 14.2. Compare with the results in Exercise 20.
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8.6.25 Test the null hypothesis that the means from two populations are equal in the following cases. ...are sample means found from samples with size ...drawn from normal distributions with known variances .... State the significance level of the test. Use a two-tailed test. ...
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8.6.27 Test the null hypothesis that the means from two populations are equal in the following cases. ...are sample means found from samples with size ...drawn from normal distributions with known variances .... State the significance level of the test. Use a two-tailed test. ...
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8.6.27 Test the null hypothesis that the means from two populations are equal in the following cases. ...are sample means found from samples with size ...drawn from normal distributions with known variances .... State the significance level of the test. Use a two-tailed test. ...
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8.6.28 Test the null hypothesis that the means from two populations are equal in the following cases. ...are sample means found from samples with size ...drawn from normal distributions with known variances .... State the significance level of the test. Use a two-tailed test. ...
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8.6.29 Use the normal approximation to test the null hypothesis that men and women have the same opinions in the following cases. State the significance level of a two-tailed test. Thirty-five out of 50 men believe that if dolphins were so smart they could find their way out of nets, whereas 40 out of 50 women believe this.
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8.6.30 Use the normal approximation to test the null hypothesis that men and women have the same opinions in the following cases. State the significance level of a two-tailed test. Three hundred fifty out of 500 men and 400 out of 500women.
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8.6.31 Use the normal approximation to test the null hypothesis that men and women have the same opinions in the following cases. State the significance level of a two-tailed test. Thirty-five out of 50 men and 400 out of 500 women.
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8.6.32 Use the normal approximation to test the null hypothesis that men and women have the same opinions in the following cases. State the significance level of a two-tailed test. Seventy out of 1000 men and 40 out of 500 women. Why do you think the difference is not significant even though the samples are very large?
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8.6.33 Algorithm 8.4 uses ...to estimate the variance under the null hypothesis. Why might it make more sense to use ..., the proportion in the pooled sample? What is the pooled proportion if 96 out of 200 events occur in the control and 54 out of 100 events occur in the treatment?
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8.6.34 Algorithm 8.4 uses ...to estimate the variance under the null hypothesis. Redo the test using ...How different are the results? Under what circumstances might it make a larger difference which proportion was used?
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8.6.35 Algorithm 8.4 uses ...to estimate the variance under the null hypothesis. Show that the two-sample test turns into the one-sample test as ... approaches infinity. What is the null hypothesis about the difference between means?
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8.6.36 Algorithm 8.4 uses ...to estimate the variance under the null hypothesis. Show that the two-sample test turns into the one-sample test as ... approaches infinity. What is the distribution of sample means in the treatment population under the null hypothesis?
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8.6.37 A cell is placed in a medium with volume equal to that of the cell. Then 100 marked molecules are placed inside, and after 1 h, 40 are found inside and 60 are found outside. In a control, protein in the membrane thought to be involved in transporting the molecule has been removed and 50 out of 100 of the molecules are found inside after the same amount of time. What is the null hypothesis if the cell with the transporter in place is compared with the control? What is the null hypothesis if the treatment is compared with the expectation that molecules end up inside and outside with equal probability?
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8.6.38 A cell is placed in a medium with volume equal to that of the cell. Then 100 marked molecules are placed inside, and after 1 h, 40 are found inside and 60 are found outside. In a control, protein in the membrane thought to be involved in transporting the molecule has been removed and 50 out of 100 of the molecules are found inside after the same amount of time. Find the p-value associated with the comparison of the treatment with the control, and the comparison of the treatment with the expectation that molecules end up inside and outside with equal probability. Why do the p-values differ as they do?
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8.6.39 One organism has 8 mutations in 1 million base pairs, a second has 18 in 1 million, and a third has 28 in 1 million. Use the normal approximation to test whether the following differences are significant. The difference between the first and second organisms.
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8.6.40 One organism has 8 mutations in 1 million base pairs, a second has 18 in 1 million, and a third has 28 in 1 million. Use the normal approximation to test whether the following differences are significant. The difference between the second and third organisms. Why is the significance level different from that in Exercise 39 even though the observed difference of 10 mutations is the same in each case?.
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8.6.41 Consider the following data on ten patients with viral loads measured under control conditions, after treatment A, and then again after treatment B. Use the given test to check whether the treatment has an effect. ... Use an unpaired test to look for an effect from treatment A.
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8.6.42 Consider the following data on ten patients with viral loads measured under control conditions, after treatment A, and then again after treatment B. Use the given test to check whether the treatment has an effect. ... Use an unpaired test to look for an effect from treatment B.
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8.6.43 Consider the following data on ten patients with viral loads measured under control conditions, after treatment A, and then again after treatment B. Use the given test to check whether the treatment has an effect. ... Use a paired test to look for an effect from treatment A.
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8.6.44 Consider the following data on ten patients with viral loads measured under control conditions, after treatment A, and then again after treatment B. Use the given test to check whether the treatment has an effect. ... Use a paired test to look for an effect from treatment B.
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