alq4.py Copy and run this code in Google Colab to see what it does. Modify it to help you with question #4 on assignment #1. import matplotlib.pyplot as plt import the plotting library import numpy #import the calculation library plt.xlim (0, 12); # sets the x direction bounds plt.ylim (0, 12); % sets the y direction bounds plt.xticks(numpy.arange(0, 12.1, 1)) # adds vertical grid lines plt.yticks(numpy.arange(0, 12.1, 1)) # adds horizontal grid lines plt.grid(linestyle, linewidth = 0.5) # creates the axes for viewing # collecting the sets of data in ordered lists and plotting the logarithms of the points as blue dots a = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] b [100, 200, 300, 400, 500, 600, 700, 800, 900, 1000] plt.plot(numpy.log(a), numpy.log(b), 'o', color='blue'); #collecting the sets of data in ordered lists and plotting the logarithms of the points as red dots A = [61, 292, 221, 157, 71, 288, 350, 202, 59, 330] B [786, 21452, 11178, 6158, 1107, 25442, 43008, 9292, 651, 24319] plt.plot(numpy.log(A), numpy.log(B), 'o', color='red'); This code currently creates a log - log plot for two sets of data: a b 1 10 2 20 A B 61 786 292 21452 3 30 4 40 221 11178 157 6158 5 50 71 1107 6 60 288 25442 7 70 350 43008 8 80 202 9292 9 90 59 651 10 100 330 24319 Question #4 Data On the island of Nretsew a number of different species of rodents called Squirbos are known to live. Aquatic paleontologist have recently been surveying a land mass under the ocean just north of Nretsew. It appears to be an ancient island which sunk around one million year ago due to seismic stress. This submerged northern island, named Aicserb has been surveyed by SCUBA diving paleontologists and the bones of a number of previously unknown Squirbo species were found. The scientists have recorded different measures of the Squirbos and in particular have noted the lengths of the front claws and the mass of the skulls of these Squirbos. The data for each species of Squirbo on Nretsew and on Aicserb is provided in the following tables. Aicserb Species Species correlus rubro Length of Front Claws (mm) Skull Mass (g) 46 2984 correlus dactyl 28 516 correlus bathy 108 34883 correlus orcino 91 22901 correlus rhyncho 72 10605 correlus odonto 98 28194 correlus candidus 95 24243 alderras glabrus 34 1081 correlus coronatus 118 58116 correlus purpureus 54 4882 correlus dorsa 21 234 correlus helio 77 12855 Nretsew Species Species Length of Front Claws (mm) Skull Mass (g) correlus anthos 164 3415 correlus maculatus 37 43 correlus squilla 17 5 correlus chrysos 206 6945 correlus major 258 10800 correlus pachy 278 13777 alderras veloz 109 811 correlus brady 14 3 correlus furcato 35 30 correlus striatus 55 4548 correlus picto 71 297 correlus minimus 20 6 correlus villosus 198 5294 correlus curvi 54 128 correlus orientalis 27 14 correlus astro 42 51

alq4.py Copy and run this code in Google Colab to see what it does. Modify it to help you with question #4 on assignment #1. import matplotlib.pyplot as plt import the plotting library import numpy #import the calculation library plt.xlim (0, 12); # sets the x direction bounds plt.ylim (0, 12); % sets the y direction bounds plt.xticks(numpy.arange(0, 12.1, 1)) # adds vertical grid lines plt.yticks(numpy.arange(0, 12.1, 1)) # adds horizontal grid lines plt.grid(linestyle, linewidth = 0.5) # creates the axes for viewing # collecting the sets of data in ordered lists and plotting the logarithms of the points as blue dots a = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] b [100, 200, 300, 400, 500, 600, 700, 800, 900, 1000] plt.plot(numpy.log(a), numpy.log(b), 'o', color='blue'); #collecting the sets of data in ordered lists and plotting the logarithms of the points as red dots A = [61, 292, 221, 157, 71, 288, 350, 202, 59, 330] B [786, 21452, 11178, 6158, 1107, 25442, 43008, 9292, 651, 24319] plt.plot(numpy.log(A), numpy.log(B), 'o', color='red'); This code currently creates a log - log plot for two sets of data: a b 1 10 2 20 A B 61 786 292 21452 3 30 4 40 221 11178 157 6158 5 50 71 1107 6 60 288 25442 7 70 350 43008 8 80 202 9292 9 90 59 651 10 100 330 24319 Question #4 Data On the island of Nretsew a number of different species of rodents called Squirbos are known to live. Aquatic paleontologist have recently been surveying a land mass under the ocean just north of Nretsew. It appears to be an ancient island which sunk around one million year ago due to seismic stress. This submerged northern island, named Aicserb has been surveyed by SCUBA diving paleontologists and the bones of a number of previously unknown Squirbo species were found. The scientists have recorded different measures of the Squirbos and in particular have noted the lengths of the front claws and the mass of the skulls of these Squirbos. The data for each species of Squirbo on Nretsew and on Aicserb is provided in the following tables. Aicserb Species Species correlus rubro Length of Front Claws (mm) Skull Mass (g) 46 2984 correlus dactyl 28 516 correlus bathy 108 34883 correlus orcino 91 22901 correlus rhyncho 72 10605 correlus odonto 98 28194 correlus candidus 95 24243 alderras glabrus 34 1081 correlus coronatus 118 58116 correlus purpureus 54 4882 correlus dorsa 21 234 correlus helio 77 12855 Nretsew Species Species Length of Front Claws (mm) Skull Mass (g) correlus anthos 164 3415 correlus maculatus 37 43 correlus squilla 17 5 correlus chrysos 206 6945 correlus major 258 10800 correlus pachy 278 13777 alderras veloz 109 811 correlus brady 14 3 correlus furcato 35 30 correlus striatus 55 4548 correlus picto 71 297 correlus minimus 20 6 correlus villosus 198 5294 correlus curvi 54 128 correlus orientalis 27 14 correlus astro 42 51

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter6: The Trigonometric Functions

Section6.4: Values Of The Trigonometric Functions

Problem 24E

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