The results of a study on state climate are shown below.
Climate by State
\begin{tabular}{|c|c|c|c|}
\hline State & \begin{tabular}{c}
Time \\
Zone
\end{tabular} & \begin{tabular}{c}
July \\
Average \\
High $\left({ }^{\circ} F \right)$
\end{tabular} & \begin{tabular}{c}
July \\
Average \\
Low $\left({ }^{\circ} F \right)$
\end{tabular} \\
\hline Florida & Eastern & 91 & 72 \\
\hline Hawaii & \begin{tabular}{c}
Hawaii-\\
Aleutian
\end{tabular} & 82 & 75 \\
\hline Maine & Eastern & 79 & 59 \\
\hline Oklahoma & Central & 94 & 72 \\
\hline Wyoming & Mountain & 83 & 56 \\
\hline
\end{tabular}
What are the variables in the study? Check all that apply.
A. Florida
B. July Average High ( ${}^{\circ}$F )
C. July Average Low ( ${}^{\circ} F$ )
D. Mountain
E. State
F. Time Zone
Answer (1)
The variables in the study are the columns of the table.
The variables are State, Time Zone, July Average High (in degrees F), and July Average Low (in degrees F).
Select the options that match the variables.
The final answer is: State, Time Zone, July Average High ( ∘ F), July Average Low ( ∘ F).
Explanation
Identifying Variables The table presents data about the climate of different states. The columns in the table represent the different characteristics being measured or observed for each state. These characteristics are the variables in the study.
Listing Variables The variables are:
State
Time Zone
July Average High (in degrees F)
July Average Low (in degrees F)
Selecting Correct Options Therefore, the correct options are:
July Average High ( ∘ F)
July Average Low ( ∘ F)
State
Time Zone
Examples
Understanding variables is crucial in many real-world studies. For instance, in a study about plant growth, variables might include the amount of sunlight, water, and fertilizer. By tracking these variables, scientists can determine which factors have the greatest impact on plant growth. Similarly, in medical research, variables like dosage, age, and pre-existing conditions are tracked to understand the effectiveness and side effects of a new drug. Identifying and understanding variables allows us to analyze and interpret data effectively.
