4.3: Solve Equations with Roots

Learning Outcomes

  1. Solve equations that include square roots.

Square roots occur frequently in a statistics course, especially when dealing with standard deviations and sample sizes. In this section we will learn how to solve for a variable when that variable lies under the square root sign. The key thing to remember is that the square of a square root is what lies inside. In other words, squaring a square root cancels the square root.

Example 4.3.1

Solve the following equation for x.

    \[2+\sqrt{x-3}\:=\:6 \nonumber \]

Solution

What makes this a challenge is the square root. The strategy for solving is to isolate the square root on the left side of the equation and then square both sides. First subtract 2 from both sides:

    \[\sqrt{x-3}=4 \nonumber \]

Now that the square root is isolated, we can square both sides of the equation:

    \[\left(\sqrt{x-3}\right)^2=4^2 \nonumber \]

Since the square and the square root cancel we get:

    \[x-3=16 \nonumber \]

Finally add 3 to both sides to arrive at:

    \[x=19 \nonumber \]

It’s always a good idea to check your work. We do this by plugging the answer back in and seeing if it works. We plug in x=19 to get

     \begin{align*}2+\sqrt{19-3} &=2+\sqrt{16} \\[4pt] &=2+4 \\[4pt] &= 6 \end{align*}

Yes, the solution is correct.

Example 4.3.2

The standard deviation, \sigma_{\hat p}, of the sampling distribution for a proportion follows the formula:

    \[\sigma_{\hat p}=\sqrt{\frac{p\left(1-p\right)}{n}} \nonumber \]

Where p is the population proportion and n is the sample size. If the population proportion is 0.24 and you need the standard deviation of the sampling distribution to be 0.03, how large a sample do you need?

Solution

We are given that p=0.24 and \sigma_{\hat p } = 0.03

Plug in to get:

    \[0.03=\sqrt{\frac{0.24\left(1-0.24\right)}{n}} \nonumber \]

We want to solve for n, so we want n on the left hand side of the equation. Just switch to get:

    \[\sqrt{\frac{0.24\left(1-0.24\right)}{n}}\:=\:0.03 \nonumber \]

Next, we subtract:

    \[1-0.24\:=\:0.76 \nonumber \]

And them multiply:

    \[0.24\left(0.76\right)=0.1824 \nonumber \]

This gives us

    \[\sqrt{\frac{0.1824}{n}}\:=\:0.03 \nonumber \]

To get rid of the square root, square both sides:

    \[\left(\sqrt{\frac{0.1824}{n}}\right)^2\:=\:0.03^2 \nonumber \]

The square cancels the square root, and squaring the right hand side gives:

    \[\frac{0.1824}{n}\:=\:0.0009 \nonumber \]

We can write:

    \[\frac{0.1824}{n}\:=\frac{\:0.0009}{1} \nonumber \]

Cross multiply to get:

    \[0.0009\:n\:=\:0.1824 \nonumber \]

Finally, divide both sides by 0.0009:

    \[n\:=\frac{\:0.1824}{0.0009}=202.66667 \nonumber \]

Round up and we can conclude that we need a sample size of 203 to get a standard error that is 0.03. We can check to see if this is reasonable by plugging n = 203 back into the equation. We use a calculator to get:

    \[\sqrt{\frac{0.24\left(1-0.24\right)}{203}}\:=\:0.029975 \nonumber \]

Since this is very close to 0.03, the answer is reasonable.

Exercise


SECTION WRAP-UP

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Support for Elementary Statistics Copyright © by Larry Green and Adapted by Ram Subedi is licensed under a Creative Commons Attribution 4.0 International License, except where otherwise noted.

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