I don't know what scale to use in plotting the graph of this table; T[k]. D(g/ml)

263. 13.62
273. 13.60
283. 13.57
303. 13.55
313. 13.52
323. 13.42

To determine the appropriate scale for plotting the graph of this table, you need to consider the range of values for each variable. In this case, the variables are temperature (T) and density (D).

For the temperature range, you can see that the values range from 263 K to 323 K. It is best to choose a scale that allows you to clearly display all the data points without compressing them too much. In this case, you could choose a scale with increments of 10 K, making sure to include the full range of temperatures from 260 K to 330 K on the graph.

For the density range, you can see that the values range from 13.42 g/ml to 13.62 g/ml. Again, it is best to choose a scale that allows you to clearly display all the data points without compressing them too much. In this case, you could choose a scale with increments of 0.02 g/ml, making sure to include the full range of densities from 13.40 g/ml to 13.65 g/ml on the graph.

It is also important to label the axes of the graph with the variables and units (e.g., Temperature (K) and Density (g/ml)). This will ensure that the graph is clearly understood by viewers.

To determine the appropriate scale for plotting the graph, you should consider the range of values for both the independent variable (temperature in Kelvin) and the dependent variable (density in g/ml).

In this case, the temperature ranges from 263 K to 323 K, and the density ranges from 13.42 g/ml to 13.62 g/ml.

To ensure that all data points are clearly visible on the graph, it is best to choose a scale that allows for this range of values.

For the temperature axis, you could set the scale increments at every 10 K, starting from the minimum value of 260 K up to the maximum value of 330 K.

For the density axis, you could set the scale increments at every 0.05 g/ml, starting from the minimum value of 13.40 g/ml up to the maximum value of 13.65 g/ml.

This scale selection will allow you to accurately represent and visualize the data points on the graph.