Without calculating, decide which quotient is larger.
Without calculating, decide which quotient is larger.
Without calculating, decide which quotient is larger.
Here is a rough sketch of Noah’s bedroom (not a scale drawing). Noah wants to create a floor plan that is a scale drawing. The actual length of Wall C is 4 m. To represent Wall C, Noah draws a segment 16 cm long. Use the app below to help you determine what scale he is using. Explain or show your reasoning.
Here is a rough sketch of Noah’s bedroom (not a scale drawing).[br][br][img]data:image/png;base64,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[/img][br][br]Noah wants to create a floor plan that is a scale drawing.[br]Find another way to express the scale.
Discuss your thinking with your partner. How do your scales compare?
Here is a rough sketch of Noah’s bedroom (not a scale drawing).[br][br][img]data:image/png;base64,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[/img][br][br]Noah wants to create a floor plan that is a scale drawing.[br]The actual lengths of Wall A, Wall B, and Wall D are 2.5 m, 2.75 m, and 3.75 m. Determine how long these walls will be on Noah’s scale floor plan.
[size=150]Use the Point tool [img]data:image/png;base64,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[/img] and the Segment tool [img]data:image/png;base64,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[/img] to draw the walls of Noah's scale floor plan in the applet.[/size]
If Noah wanted to draw another floor plan on which Wall C was 20 cm, would 1 cm to 5 m be the right scale to use? Explain your reasoning.
How do the two drawings compare? How does the choice of scale influence the drawing?