Part 4 of 5 Find \( Q_{1}, Q_{3} \), and IQR. (Round your answers to one decimal place as needed.) \[ \begin{array}{r}Q_{1} \\ Q_{3}\end{array}=\square \] IQR \( =\square \)

We first note that to compute the quartiles and the interquartile range (IQR) we need the raw data (or a frequency distribution) to work with. Since the dataset was not provided in this part, here is a general step‐by‐step method for finding the first quartile \(Q_1\), the third quartile \(Q_3\), and the IQR: 1. **Sort the Data:** Arrange the data values in increasing order. 2. **Find the Median:** Identify the median (the middle value). If there is an odd number of data points, the median is the middle number; if even, it is the average of the two central numbers. 3. **Determine the Lower and Upper Halves:** - The lower half of the dataset (not including the median if the number of data points is odd) is used to compute \(Q_1\). - The upper half of the dataset is used to compute \(Q_3\). 4. **Compute \(Q_1\) and \(Q_3\):** - \(Q_1\) is the median of the lower half of the data. - \(Q_3\) is the median of the upper half of the data. 5. **Calculate the IQR:** \[ \text{IQR} = Q_3 - Q_1 \] 6. **Round your Answers:** Round \(Q_1\), \(Q_3\), and the IQR to one decimal place as needed. Without the numerical data provided, we cannot compute specific numeric values for \(Q_1\), \(Q_3\), and the IQR. Please provide the dataset or the necessary values so that we can carry out the computations and fill in the blanks: \[ \begin{array}{r} Q_{1} \\[6mm] Q_{3} \end{array}=\square \] \[ \text{IQR}=\square \] If you have the dataset available from earlier parts, please share it so we may proceed with the calculation.