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A logarithmic scale is a nonlinear scale, typically used to display a large range of positive multiples of some quantity, ranging through several orders of magnitude, so that the value at higher end of the range is many times the value at the lower end of the range.
There are two main reasons to use logarithmic scales in charts and graphs. The first is to respond to skewness towards large values. i.e., cases in which one or a few points are much larger than the bulk of the data. The second is to show percent change or multiplicative factors.
Log-log plots display data in two dimensions where both axes use logarithmic scales. When one variable changes as a constant power of another, a log-log graph shows the relationship as a straight line. Equivalently, the linear function is: log (Y) = log (k) + log (OK).
What is difference between Linear and Logarithmic scale? Linear graphs are scaled, so that equal vertical distances represent the same absolute-dollar-value change. The logarithmic scale reveals percentage changes. A change from 100 to 200, for example, is presented in the same way as a change from 1,000 to 2,000.
Use a ruler to determine where a point stands on the y-axis. Each cycle of 10, on semi-log graph paper, is divided into 10 increments. For instance, between 0.1 and 1, there are increments denoting 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, and 0.9. Between 1 and 10, there are increments of 2, 3, 4, 5, 6, 7, 8, and 9.
Step 1: Find some points on the exponential f(x). The more points we plot the better the graph will look. Step 2: Switch the x and y values to obtain points on the inverse. Step 3: Determine the asymptote. Graph the following logarithmic functions. State the domain and range.
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