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Anna007 [38]
3 years ago
10

SEP Analyze Data Use graphing software or draw a graph from the data in the table. Label "Heat input (joules)" on the y-axis and

"Temperatures (°C) on the x-axis. Plot each of the six samples as individual lines.​

Chemistry
1 answer:
galben [10]3 years ago
6 0

The characteristics of the graphic representation are to find the scales and make the best graphic, in the attachment we have the points plotted

The graphical representation is one of the best methods to see the relationships between groups of data and to be able to find the functional relationships between them.

In this case, it is requested to make a scatter plot where the measured temperature is placed on the x-axis and the heat on the y-axis.

In the attachment we can see a graph with the requested data, the most important part of finding these graphs is looking for the scales

x-axis

          scale x = \frac{\Delta Values}{paper length}

y-axis

          scale y = \frac{\Delta Values}{paper \ lengthy}

In general, the paper is 20 x 30 cm, we select the shortest part as the x axis

         scale x = \frac{50-30}{20}

         scale x = 1º  \frac{ C}{cm \ peper}  

         

Let's find the scale on the axis and the maximum value is 54000 and the minimum value is 3800, as the minimum value is much less than the maximum value, let's set this value to zero

         scale y = \frac{54000-0}{30}

         scale y = 1800  \frac{j}{cm \ paper}

To facilitate marking the values, we select a slightly larger scale,

Selected scale

           scale y = 2000 \frac{j}{cm \ paper}

Let's mark the points.

From observing these graph we see;

  • The relationships are linear
  • For the same material the amount of heat necessary to reach the same temperature is proportional to the mass of the material

Using the characteristics of the graphical representation, it is possible to find the scales and make the best graph

Learn more here: brainly.com/question/12511806

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In order to minimize the concentration in between 10 and 200, it can be reduced to 5.1 × 10¹

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