IM 7.7.17 Lesson: Building Prisms
Here are some nets for various prisms.
[img]data:image/png;base64,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[/img][br][br]What would this net look like when folded?
[img]data:image/png;base64,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[/img][br][br]What would this net look like when folded?
[img]data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAJQAAACXCAYAAADzqHJ6AAAII0lEQVR4Ae2cO2hUWxSGJ2/z0hgTEzQ+wMJSEwTRLtrGQtTKR2dMNIKFCkokGI2FnQTEQhJBC7G1ttHCoLEQFBFtRNCkSGPeL39Zh3vuHWEzzNl37TOj6x9YTLLn7HVmffubfc4EsjLggwQUCWQUczEVCYBCUQJVAhRKFSeTUSg6oEqAQqniZDIKRQdUCVAoVZxMlpdQS0tLmJ+fx/T0dEFjZmYGc3NzWF5e5soVKYG8hPrw4QOGh4dx5swZdHd3FyzOnTuH27dv4/3791hZWSlSpLbfVl5C9fX1oa2tDTU1Naiuri5Y1NbWoqWlBf39/ZicnKRURehuXkKJRKWlpchkMtFzeXk50oyysjKUlJREIe9h7969ePv2LS99f6pQ2YtZV1eH1tZWbNq0CZs3b04l5HyyO8VSd3R04M2bN5B7Oz6Ki0BeO5TsCnEcPnwYT58+xfPnz/HixYtU4tmzZ5DzVlRURO+jvb0d4+PjFKq4XIreTWKhent7MTExEV1uVldXkUbIt8uenh5UVVVRqCKUKPsteQklN8QiUlqP2dlZiMhr1qyhUGlB9zwPhfIEx2luAhTKzYWjngQolCc4TnMToFBuLhz1JEChPMFxmpsAhXJz4agnAQrlCY7T3AQolJsLRz0JUChPcJzmJkCh3Fw46kmAQnmC4zQ3AQrl5sJRTwIUyhMcp7kJUCg3F456EqBQnuA4zU2AQrm5cNSTAIXyBMdpbgIUys2Fo54EKJQnOE5zE6BQbi4c9SRAoTzBcZqbAIVyc+GoJwEK5QmO09wEKJSbC0c9CVAoT3Cc5iaQWKjTp0/jy5cvUeMx+Y/eNGJqagpy3srKyug/h3ft2oWxsTFIA7KFhQWGEoPFxUVI/J+GbomF2rNnDy5evIhr165hYGAglbhy5QrkvNJCSJp2bN++Hbdu3cKjR4/w+PFjhiKDJ0+eRK2SpNXAz58/3dtQjtHEQkl/gYaGBjQ2NqYWcj5plBG385Gfm5ubo1ZC0giNocdgy5Yt6OzsxMuXL7262+QllPSHitv5FPI57lMlzyIXQ49B9hrLh3VoaCjqq5pjM3K+lJdQ2RLJiaWjXCFCLnmyO0nzsfr6eoYiA7nyxFeApqYm3LhxI2qQ67Qmx2BioXbu3Iljx47hxIkTOHnyZKpx6tSpqE/U5cuXcfXqVYYig66uruiDKhuGCDU4OBh94crhjvOlxEJJn6a4YarctDH+fAZyAz4yMhK1upQrT0GESrPhmPOjwEE1ArIpjI6OUig1osYTUSjjAmiXT6G0iRrPR6GMC6BdPoXSJmo8H4UyLoB2+RRKm6jxfBTKuADa5VMobaLG81Eo4wJol0+htIkaz0ehjAugXT6F0iZqPB+FMi6AdvkUSpuo8XwUyrgA2uVTKG2ixvNRKOMCaJdPobSJGs9HoYwLoF0+hdImajwfhTIugHb5FEqbqPF8FMq4ANrlUyhtosbzUSjjAmiXT6G0iRrPR6GMC6BdPoXSJmo8H4UyLoB2+RRKm6jxfBTKuADa5VMobaLG81Eo4wJol0+htIkaz0ehjAugXT6F0iZqPB+FMi6AdvkUSpuo8XwUyrgA2uVTKG2ixvNRKOMCaJdPobSJGs9HoYwLoF0+hdImajwfhTIugHb5FEqbqPF8FMq4ANrlUyhtosbzUSjjAmiXT6G0iRrPR6GMC6BdPoXSJmo8H4UyLoB2+QUVqqenB9++fcPi4iKWl5cZigyWlpZQiFhYWMD9+/fR0tKCsrIyNDU1YXBwELOzs4ndzeQzI5PJII7jx4/j1atX+PTpEz5//sxQYCAs3717h/Hxcbx+/Tr1kPUcGBhAY2MjSktL0xVqx44dOHToEI4cOYKjR48yFBgIy4MHD6KjowPt7e2px+7du7F161ZUVlaipKQkEqu/vz/cDlVVVRWdKN6l+Pzfjv03sli7di3Onz+PmZmZfC5gvx2T1yWvq6sLtbW1KC8vZwRgIJeZbDFll0g7ss+/bt06XLhwIZxQY2NjuHTpEvbv3499+/YxlBnI5UY+rLKoclNcX18f3cc0Nzcjrairq4vOLSJv2LAhuqcKdlMu3+jm5+cjY2UbZOgykBti2RXi+5d79+5hamoK09PTqcSPHz8g5xR545vy69evh7uH+u0iyV/UCdy8eRMNDQ3RYsqiPnjwAPJVPq1H6n+HSqswq+ehUFZXPlDdFCoQWKtpKZTVlQ9UN4UKBNZqWgpldeUD1U2hAoG1mpZCWV35QHVTqEBgraalUFZXPlDdFCoQWKtpKZTVlQ9UN4UKBNZqWgpldeUD1U2hAoG1mpZCWV35QHVTqEBgraalUFZXPlDdFCoQWKtpKZTVlQ9UN4UKBNZqWgpldeUD1U2hAoG1mpZCWV35QHVTqEBgraalUFZXPlDd2UJJs6/R0VHMzc1hdXU1lVhZWcHIyAhaW1vTaTgWiCPT/kMgWyhpVDE8PIyvX79icnIylZiYmMCdO3ewceNGCvU3WJktVHV1NQ4cOIDu7m709vbmHWfPns372Dhv9pzOzk7U1NREDTuCt0T8GxatmGsYGhrC+vXro2YZ2X2aCvVzLJRcdpM+8mo4ljQpj09G4O7du2hra/u3R1ShRJJ2QtLOZ9u2bXj48GHUmDdZJQCFSkoswPEfP36MWhDKJadQMsl5RaiKigr09fXh+/fvUYfnpOVSqKTEeHxOAhQqJx6+mJQAhUpKjMfnJEChcuLhi0kJUKikxHh8TgIUKicevpiUAIVKSozH5yRAoXLi4YtJCVCopMR4fE4CvwB/x5AdJjjMCwAAAABJRU5ErkJggg==[/img][br][br]What would this net look like when folded?
[img]data:image/png;base64,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[/img][br][br]What would this net look like when folded?
Here are the same nets for various prisms.[br][br][img]data:image/png;base64,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[/img][br][br]What do you notice about the nets?
The base of a triangular prism has one side that is 7 cm long, one side that is 5.5 cm long, and one angle that measures 45°. Draw as many different triangles as you can with these given measurements.
Select one of the triangles you have drawn. Measure and calculate to approximate its area. Explain or show your reasoning.
Here is an an incomplete net. Follow these instructions to complete the net and assemble the triangular prism:
Draw an identical copy of the triangle you selected in the previous activity along the top of the rectangle, with one vertex on point [math]A[/math]. [br][br]Draw another copy of your triangle, flipped upside down, along the bottom of the rectangle, with one vertex on point [math]C[/math].
Determine how long the rectangle needs to be to wrap all the way around your triangular bases.
If you assembled your triangular prism, answer these questions.
What is the volume of your prism? Explain your reasoning.
If you stood up your prism so it is sitting on its triangular base,
If you were to cut your prism in half horizontally, what shape would the cross section be?
What is the surface area of your prism? Explain your reasoning.
If you were to cut your prism in half vertically, what shape would the cross section be?
Draw the base of your new prism and label the lengths of the sides.
Compare your prism with your partner’s prism. What is the same? What is different?
Find a way you can put your prism and your partner’s prism together to make one new, larger prism. Describe your new prism.
As you answer these questions about your new prism, look for ways you can use your calculations from the previous activity to help you.
What is the area of its base? Explain or show your reasoning.
What is its height? Explain or show your reasoning.
What is its volume? Explain or show your reasoning.
What is its surface area? Explain or show your reasoning.
How many identical copies of your prism would it take you to put together a new larger prism in which every dimension was twice as long? Explain or show your reasoning.