HOW DOES THE THERMAL CONDUCTIVITY FOR ALUMINUM CHANGE IN THE RANGE...

3. How does the thermal conductivity for aluminum change in the range of temperatures given?To answer question number one, you would look at the column that lists the thermal conductivities at300 K. You would see that the highest number in that column is 398. You would place your finger on thatnumber and use the finger as a guide across the row, all the way to the left to see which metal has a conduc-tivity of 398 watts per meter Kelvin. And you would see that the row you selected lists the thermal conduc-tivities of copper.Question number two is very similar to question number one, but now you are asked to find the max-imum number in a row (gold), and determine to which column it corresponds. In the row listing the ther-mal conductivities of gold, the highest number is 345. Put your finger on it and use it as a guide, straight tothe top of that column to see that the thermal conductivity of gold is at the maximum at 100 K.In question three, you are asked to describe a trend. This is another common question type. Is there achange? Do the numbers increase? Decrease? Randomly change (no trend)? Looking at the row of data foraluminum, you can conclude that the thermal conductivity for this metal first increases, and then between300 K and 400 K, it begins to decrease.Graph BasicsThe most common types of graphs are scatter plots, bar graphs, and pie graphs. What follows is an explana-tion of each, with examples you can use for practice.

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Whenever a variable depends continuously on another variable, this dependence can be visually representedin a scatter plot. Examples include a change in a property or an event as a function of time (populationgrowth) and change in a property as a function of temperature (density). A scatter plot consists of the hor-izontal (x) axis, the vertical (y) axis, and collected data points for variable y,measured at variable x. The vari-able points are often connected with a line or a curve. A graph often contains a legend, especially if there ismore then one data set or more than one variable. A legend is a key for interpreting the graph. Much like alegend on a map lists the symbols used to label an interstate highway, a railroad line, or a city, a legend for agraph lists the symbols used to label a particular data set. Look at the sample graph above. The essential ele-ments of the graph—the x- and y-axis—are labeled. The legend to the right of the graph shows that dots areused to represent the variable points in data set 1, while squares are used to represent the variable points indata set 2. If only one data set exists, the use of a legend is not essential.Graph Title

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Now let’s see how we can answer graphical representation questions effectively by understanding andanalyzing the information presented in a graph. Look at the example below.°as a Function of Wavelength