BIOLOGY
12th Edition
ISBN: 9781260169614
Author: Raven
Publisher: RENT MCG
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Chapter 21, Problem 2S
Explain how data shown in figure 21.2a and b relate to the conditions identified by you in question 1.
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Chapter 21 Solutions
BIOLOGY
Ch. 21.1 - Prob. 1LOCh. 21.1 - Prob. 2LOCh. 21.2 - Prob. 1LOCh. 21.2 - Distinguish between demonstrating that evolution...Ch. 21.3 - Contrast the processes of artificial and natural...Ch. 21.3 - Prob. 2LOCh. 21.4 - Prob. 1LOCh. 21.4 - Prob. 2LOCh. 21.4 - Prob. 3LOCh. 21.5 - Explain the evolutionary significance of...
Ch. 21.5 - Prob. 2LOCh. 21.6 - Prob. 1LOCh. 21.6 - Prob. 2LOCh. 21.7 - Characterize the criticisms of evolutionary theory...Ch. 21.7 - Prob. 2LOCh. 21 - Suppose that a male with a beak depth of 10 mm...Ch. 21 - Prob. 1IQCh. 21 - Prob. 2IQCh. 21 - Prob. 3IQCh. 21 - Why might the evolutionary line leading to...Ch. 21 - Artificial selection is different from natural...Ch. 21 - Gaps in the fossil record a. demonstrate our...Ch. 21 - The evolution of modern horses (Equus) is best...Ch. 21 - Homologous structures a. are structures in two or...Ch. 21 - Convergent evolution a. is an example of...Ch. 21 - Prob. 6UCh. 21 - The possession of fine fur in 5-month human...Ch. 21 - In Darwins finches, a. occurrence of wet and dry...Ch. 21 - Prob. 2ACh. 21 - Convergent evolution is often seen among species...Ch. 21 - What conditions are necessary for evolution by...Ch. 21 - Explain how data shown in figure 21.2a and b...Ch. 21 - Prob. 3SCh. 21 - Refer to figure 21.5, artificial selection in the...Ch. 21 - The ancestor of horses was a small, many-toed...
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- The mean weight of loaves of bread produced at the bakery where you work is supposed to be 1 pound. You are the supervisor of quality control at the bakery, and you are concerned that new employees are producing loaves that are too light. Suppose you weigh an SRS of bread loaves and find that the mean weight is 0.975 pound. What are the appropriate hypotheses for performing this significance test? Ho : x = 1; H. : x < 1 where i = the sample mean weight (in pounds) of bread loaves produced at the bakery. Ho : u = 1; H. : µ < 1 where u = the true mean weight (in pounds) of bread loaves produced at the bakery. Ho : µ < 1; H, : H = 1 where u = the true mean weight (in pounds) of bread loaves produced at the bakery. Ho : u = 1; H. : p = 0.975 where u= the true mean weight (in pounds) of bread loaves produced at the bakery. Ho : u = 1; H. : u # 1 where u= the true mean weight (in pounds) of bread loaves produced at the bakery.arrow_forwardDraw a graph of V0 vs. [S] (Michaelis-Menten plot) for these data. Put both sets of data on the one graph, use a different symbol of each plot and indicate which set of data is which. Make sure your graph has appropriate axis labels and units. You do not need to insert trend lines (as there is no rectangular hyperbola trendline in EXCEL).arrow_forwardPlease help me with these 2 questions based on the graph below. More than one answer may be correct for each question: 1) Figure 1. Normative hair cell data for the lateral semicircular canal in humans. Linear fitted regression line is included (n = 67). The above graph shows... a) a decrease in taste buds with age in humans.b) the relationship between hair cell density and age in humans.c) the complete loss of a photoreceptor in humans 80 years old and above.d) the disappearance of hair follicles in older humans.e) a higher density in a type of mechanoreceptor in younger humans. 2) Figure 1. Normative hair cell data for the lateral semicircular canal in humans. Linear fitted regression line is included (n = 67). The data presented in this graph could help explain why... a) turning one's head quickly may result in vertigo in older humans.b) using playground swings can make you dizzy and/or nauseous as you get older.c) long bouts of laying down without moving can cause dizziness and/or…arrow_forward
- Draw a Lineweaver-Burk plot for these data. Put both sets of data on the one graph, use a different symbol of each plot and indicate which set of data is which. Add a line of best fit (trend line) for each set of data. Indicate the values of the Y-intercept(s) and the X-intercept(s). Make sure your graph has appropriate axis labels and units.arrow_forwardThe following data for the genotypes at the alcohol dehydrogenase locus were observed from a sample of Drosophila melanogaster. Sample size 1000 FF 550 FF=0.55; FS=0.34; SS=0.11 O F-0.72; S=0.28 FF=0.078; FS=0.40; SS=0.52 FS What are the Hardy-Weinberg equilibrium genotype frequencies for each genotype based upon this sample? OFF=0.52; FS=0.40; SS=0.078 340 SS 110arrow_forwardA biology student is investigating the claim that the temperature can be predicted by counting cricket chirps. He has collected data and comes up with the linear model T=39.2+0.233r, where T is the temperature in degrees Fahrenheit and r is the number of chirps per minute. Interpret the slope of the equation. The model predicts a decrease of 0.233 degrees for each increase of 1 chirp per minute. The model predicts a decrease of 39.2 degrees for each increase of 1 chirp per minute. The model predicts an increase of 39.2 degrees for each increase of 1 chirp per minute. The model predicts an increase of 0.233 degrees for each increase of 1 chirp per minute.arrow_forward
- The height of a certain population of corn plants follow a normal distribution with mean 145 cm and standard deviation 22 cm. a) What percentage of the plants are between 135 and 155 cm tall?b) Suppose we were to choose at random from the population a large number of samples of 16 plants each. In what percentage of the samples would he sample mean height between 135 and 155 cm?c) If Ŷ represents the mean height of a random sample of 36 plants from the population, what is P{ 135<=Ŷ <=155}?arrow_forwardList and explain the assumptions and uses of the Hardy-Weinberg Principle. Provideexamples (and data) for uses of HW.arrow_forwardDoes the data in the table conform to the Hardy-Weinberg Equilibrium? Explainarrow_forward
- L Describe at least five conditions required for the Hardy-Weinberg principle to be true. Explain why these are not realistic and provide examples where possible.arrow_forwardWhy is it difficult to accurately estimate Km and Vmax values from a Michaelis-Menten plot? Why are the benefits of estimating Km and Vmax values from a Lineweaver-Burk plotarrow_forward[S] (mM) v0 (mM/sec) 6 150 17 250 29 260 40 360 50 350 60 400 72 403 82 425 92 430 103 442 115 455 125 450 Km and Vmax obtained from the Lineweaver-Burk plot and linear regression analysis for the data in Table 2 are 16.9 mM and 503 mM respectively. Compare these values to the values obtained Vmax = 525.3 µM/sec Km = 20.70 µM . Which method, nonlinear regression or linear regression, is more tolerant to an experimental error? Note that lower substrate concentrations, which often have the greater error, have a greater effect on the slope of the line in the Lineweaver-Burk plot.arrow_forward
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