Find the domain and vertical asymptote of \(\displaystyle{ f(x)={8-\log\mathopen{}\left(x+3\right)} }\text{.}\) Enter your solutions in interval notation.
The decibel rating \(D\) is related to the sound intensity \(I\) by the formula \(\displaystyle D = 10 \log_{10} \left(
\frac{ I }{ 10^{-16} } \right)\) for the noise level in decibels.
(a) Let \(D\) and \(d\) represent the decibel ratings of sounds of intensity \(I\) and \(i\text{,}\) respectively. Using properties of logarithms, find a simplified formula for the difference between the two ratings, \(D - d\text{,}\) in terms of the two intensities \(I\) and \(i\text{.}\)
\begin{equation*}
\begin{aligned}
\hbox{Increase in decibels } \amp = D_2-D_1\\
\amp =10\log\left(\frac{I_2}{I_1}\right)\quad\hbox{ (by using
formula from part (a))}\\
\amp =10\log\left(\frac{4 I_1}{I_1}\right)\\
\amp =10\log 4.
\end{aligned}
\end{equation*}
A light, flashing regularly, consists of cycles, each cycle having a dark phase and a light phase. The frequency of this light is measured in cycles per second. As the frequency is increased, the eye initially perceives a series of flashes of light, then a coarse flicker, a fine flicker, and ultimately a steady light. The frequency at which the flickering disappears is called the fusion frequency. The table below shows the results of an experiment in which the fusion frequency \(F\) was measured as a function of the light intensity \(I\text{.}\) It is modeled by \(F=a \ \ln{I} +b\text{.}\)
Find \(\ln{I}\) for each value of \(I\) in the table above, and then use linear regression on a calculator to estimate \(a\) and \(b\) in the linear fit \(F= a \ \ln{I} +b\text{.}\) In the blanks below, enter the corresponding values for \(a\) and \(b\text{:}\)
Students in a fifth-grade class were given an exam. During the next 2 years, the same students were retested several times. The average score was given by the model