Jocelyn got a job right out of college, as an administrative assistant earning $28,000 a year. The position turned out to be a great fit for her, and after one year she was promoted to data analyst with a 15% raise. The next year Joceyln was promoted again, to senior data analyst along with a 21% raise. “Not bad,” her friend Audun said, “a 36% raise in two years.” But Jocelyn quickly corrected him. “Audun, it’s even better than that! It’s over 39%!”
After the first year, Jocelyn’s salary of $28,000 was increased by 15%. Remember that means 15% of $28,000 more. To calculate 15% of $28,000 we multiply using the decimal form
\begin{equation*}
15\% = \frac{15}{100} = 15 \div 100 = 0.15
\end{equation*}
to get
\begin{equation*}
15\% \text{ of } 28{,}000 = 0.15 \times 28{,}000 = 4{,}200
\end{equation*}
That’s how much Jocelyn’s raise was that first year. By adding that amount to the original salary we get
\begin{equation*}
28{,}000 + 4{,}200 = 32{,}200
\end{equation*}
After one year Jocelyn’s salary was $32,200.
After the second year, Jocelyn got a 21% raise. This means her salary rose by 21% from what it was just before the raise, that is, from the $32,200. (The 21% does not refer back to the original $28,000 value.) So, to calculate the increase, we take 21% of $32,200, which is
\begin{equation*}
21\% \text{ of } \$32{,}200 = 0.21 \times 32{,}200 = \$6{,}762
\end{equation*}
By adding on this raise we get
\begin{equation*}
32{,}200+ 6{,}762 = 38{,}962
\end{equation*}
After the second year Jocelyn was earning $38,962.
Since Jocelyn’s original salary was $28,000, the net increase in her salary is the difference
\begin{equation*}
\$38{,}962 - \$28{,}000 = \$10{,}962
\end{equation*}
The corresponding percentage increase was
\begin{equation*}
\frac{10{,}962}{28{,}000}= 10{,}962 \div 28{,}000 = 0.3915 = 0.3915 \times 100\% = 39.15\%
\end{equation*}
As Jocelyn said, that’s over 39% increase.
What’s going on here? Audun thought that 15% and 21% would be 36% because \(15 + 21 = 36\text{.}\) The reason it doesn’t work that was is that while the 15% is of the original $28,000, the 21% was actually calculated on the $32,200. So, we can’t just combine percentages by adding.
Each time we figured out Jocelyn’s salary, we did a two-step process. First, we calculated the amount of the increase and second, we found the new value by adding on. There’s actually an easier way.
Jocelyn’s salary was $28,000 and then went up by 15%. For her new salary we want to add her old salary (all of it) plus 15%. So we want 100% plus 15%, or 115% of her old salary. That works in general. When we increase a number by 15%, we end up with 100% of what we started with plus 15% more, for a grand total of 115% of what we started with. So we can just multiply by 1.15, which is 115% written in decimal, since
\begin{equation*}
115\% = \frac{115}{100} = 115 \div 100 = 1.15
\end{equation*}
Looks weird, works great.
That means all we have to do to find Jocelyn’s salary is
\begin{equation*}
28{,}000 \times 1.15 = 32{,}200
\end{equation*}
We can do the same thing for the next calculation
\begin{equation*}
32{,}200 \times 1.21 = 38{,}962
\end{equation*}
Here we multiplied by 1.21 because after a 21% increase you have 121% of what you started with. And 121% in decimal form is just 1.21.
Now hang on to your hat, because we can combine these parts together. In our example, we started with $28,000. Then we multiplied by 1.15, which gave us $32,200. And then we multiplied that answer by 1.21, to get our final answer of $28,962. So really we just did
\begin{equation*}
28{,}000 \times 1.15 \times 1.21 = 38{,}962
\end{equation*}
Same answer. A lot less effort. And, check it out
\begin{equation*}
1.15 \times 1.21 = 1.3915 =139.15\%
\end{equation*}
That’s where the 39.15% increase is hidden. Cool.
A little terminology before we move on. A percentage increase is known as the growth rate and the number we multiply in the one-step method is called the growth factor. For example, in calculating 15% increase, the growth rate was \(15\%=0.15\) in decimal, and so the growth factor was
\begin{equation*}
115\%=1.15
\end{equation*}
If you’re into formulas here it is.
Percent Change Formula
If a quantity increases by a percentage corresponding to growth rate \(r\text{,}\) then the growth factor is
\begin{equation*}
\displaystyle g=1+r
\end{equation*}
We had \(r=0.15\) and so
\begin{equation*}
g=1+r=1+0.15=1.15
\end{equation*}
Jocelyn’s most recent assignment has been analyzing information on rising health care costs. In 2007 the United States spent $2.26 trillion on health care. Written out with all its zeros that’s
\begin{equation*}
\$2.26 \text{ trillion} = \$2{,}260{,}000{,}000{,}000
\end{equation*}
Health care costs were projected to increase at an average of 6.7% annually. That means we have
\begin{equation*}
r= 6.7\% = 0.067
\end{equation*}
and
\begin{equation*}
g=1+r=1+0.067=1.067
\end{equation*}
So, to find the effect of a 6.7% increase, we can just multiply by 1.067. Again, that’s the 100% of what we started with plus 6.7% more for a grand total of \(106.7\%= 1.067\text{.}\)
We are ready to do some examples. In 2007 the United States spent $2.26 trillion on health care. The projection for one year later is
\begin{equation*}
2.26 \times 1.067 = 2.41142 \approx \$2.41 \text{ trillion}
\end{equation*}
Another year later, projected health care costs are
\begin{equation*}
2.41 \times 1.067 = 2.57147 \approx \$2.57 \text{ trillion}
\end{equation*}
And so on. For each year we multiply by another 1.067.
For example, by 2017 (ten years later), health care costs are projected to be
\begin{equation*}
2.26 \times \underbrace{1.067 \times 1.067 \times 1.067 \times 1.067 \times 1.067 \times 1.067 \times 1.067 \times 1.067 \times 1.067 \times 1.067}_{10\text{ times}}
\end{equation*}
I don’t know about you, but I would rather not type that all into a calculator. Luckily, multiplying by 1.067 ten times is the same as multiplying by \(1.067^{10}\text{.}\) Recall that the base \(1.067\) is the number we multiply by and the exponent (or power) \(10\) tells us how many times. So we can calculate
\begin{equation*}
2.26 \ast 1.067^{10} = 2.26 \times 1.067 \wedge 10 = 4.322675488 \approx \$ 4.32 \text{ trillion}
\end{equation*}
Notice that the order of operations is exactly what we wanted here: first raise 1.067 to the 10th power, then multiply by 2.26. So we can enter it all at once without needing parentheses. Bottom line: health care costs are expected to be around $4.32 trillion by the year 2017. Oh my!
We’re so close to the equation now, we can smell it. Our variables are
\begin{align*}
H \amp= \text{ health care costs (\$ trillions) } \sim \text{ dep} \\
Y \amp= \text{ time (years since 2007) } \sim \text{ indep}
\end{align*}
We just found the cost after 10 years was
\begin{equation*}
\$2.26 \ast 1.067^{10}\approx \$4.32 \text{ trillion}
\end{equation*}
We can generalize to get the equation by putting in \(Y\) (instead of 10) and \(H\) (instead of $4.32 trillion). When we do we get
\begin{equation*}
2.26 \ast 1.067^{Y} = H
\end{equation*}
Rewriting the equation to begin with the dependent variable we get
\begin{equation*}
H = 2.26\ast 1.067^{Y}
\end{equation*}
By the way, there are two other standard ways of writing this equation
\begin{equation*}
H= 2.26(1.067)^{Y} \quad \text{ and } \quad H = 2.26\left(1.067^{Y}\right)
\end{equation*}
For example, in 2027 we have \(Y=2027 - 2007 = 20\) years and our equation projects health care cost at
\begin{equation*}
2.26 \ast 1.067^{20} = 2.26 \times 1.067 \wedge 20 = 8.821882053 \approx \$8.82 \text{ trillion}
\end{equation*}
Not sure it’s realistic to expect that steady an increase for 20 years, but that is what the equation projects, so let’s work with it for now.
What does the graph of this function look like? Here are the values we found so far. That should be enough.
year |
2007 |
2008 |
2009 |
2017 |
2027 |
\(Y\) |
0 |
1 |
2 |
10 |
20 |
\(H\) |
2.26 |
2.41 |
2.57 |
4.32 |
8.82 |
Can you see that the graph curves slightly? It’s not a straight line. That’s because this function isn’t linear.
Look back at our equation
\begin{equation*}
H = 2.26\ast 1.067^{Y}
\end{equation*}
This type of equation is called an exponential equation because the independent variable is in the exponent. Any exponential equation fits this template.
Exponential Equation Template
\begin{equation*}
\text{dep} = \text{start} \ast \text{growth factor} ^ {\text{indep}}
\end{equation*}
Notice our two variables are in our equation and there are two constants. Each constant has its own meaning. The first constant is 2.26 and it is measured in trillions of dollars. It is the amount spent on health care in the starting year of 2007. In our standard form we refer to this quantity as the starting value (or start for short). As with linear equations, its official name is intercept and it’s the value where the curve crosses the vertical axis on the graph.
The second constant is the growth factor 1.067, and is the decimal equivalent of the 106.7%. The growth factor for an exponential equation is similar to the slope of a linear equation because both tell us how fast the function is increasing. But the slope measures the rate of change - how much is added at each step - while the growth factor corresponds to the percent increase. Another way to say that is linear functions correspond to situations where we are adding the same amount each time and exponential functions correspond to situations where we are adding the same percentage each time (or, equivalently, multiplying by the same amount each time).
Sometimes the graph of an exponential equation looks a lot like a line, especially if you only plot a few points. So, be sure to plot five or more points to see the curve in the graph of an exponential equation.