Class 7 Exam > Class 7 Videos > Mathematics (Maths) Class 7 (Old NCERT) > Fun with Estimations: Percentage of Shaded figures
Fun with Estimations: Percentage of Shaded figures Video Lecture | Mathematics (Maths) Class 7 (Old NCERT)
FAQs on Fun with Estimations: Percentage of Shaded figures Video Lecture - Mathematics (Maths) Class 7 (Old NCERT)
| 1. What is the meaning of "percentage of shaded figures"? |  |
Ans. The "percentage of shaded figures" refers to the proportion or fraction of a shape or figure that is shaded compared to the total area or surface of the shape or figure, expressed as a percentage.
| 2. How do you estimate the percentage of shaded figures? | |
Ans. To estimate the percentage of shaded figures, you can visually divide the shaded area into smaller recognizable shapes, such as squares or triangles. Then, count the number of these smaller shapes that are shaded and compare it to the total number of shapes in the figure. Finally, convert the ratio of shaded shapes to total shapes into a percentage.
| 3. Can you give an example of estimating the percentage of shaded figures? | |
Ans. Sure! Let's say you have a rectangle and half of it is shaded. You can mentally divide the shaded area into smaller squares and count, let's say, there are 5 shaded squares out of 10 total squares. So, the estimated percentage of shaded figures would be 50%.
| 4. Why is it important to estimate the percentage of shaded figures? | |
Ans. Estimating the percentage of shaded figures helps in understanding the relative size or amount of a shaded area compared to the whole figure. It is important for various real-life applications such as determining the percentage of land covered by forests, estimating the percentage of a population with a specific attribute, or calculating the percentage of a discount on a product.
| 5. Can estimations of the percentage of shaded figures be accurate? | |
Ans. Estimations of the percentage of shaded figures are not always accurate since they rely on visual approximation. However, they can provide a close approximation that is useful for quick calculations or rough comparisons. For precise calculations, it is necessary to use more accurate measurement techniques or mathematical formulas.
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