Questions: For the data set 7, 15, 8, 9, 8, 4, 7, 26, 5, 11, 10, 14, 5, 6, 4, 13, 3, 6, 11, 7, 9, 12, Part 1 of 4 (a) Find the first and third quartiles.

For the data set 7, 15, 8, 9, 8, 4, 7, 26, 5, 11, 10, 14, 5, 6, 4, 13, 3, 6, 11, 7, 9, 12,

Part 1 of 4 (a) Find the first and third quartiles.
Transcript text: For the data set \begin{tabular}{llllllllllll} \hline 7 & 15 & 8 & 9 & 8 & 4 & 7 & 26 & 5 & 11 & 10 & 14 \\ 5 & 6 & 4 & 13 & 3 & 6 & 11 & 7 & 9 & 12 & \\ \hline \end{tabular} Part 1 of 4 (a) Find the first and third quartiles.
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Solution

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Solution Steps

Step 1: Sort the Data

The given dataset is sorted to facilitate the calculation of quartiles. The sorted data is:

\[ [3, 4, 4, 5, 5, 6, 6, 7, 7, 7, 8, 8, 9, 9, 10, 11, 11, 12, 13, 14, 15, 26] \]

Step 2: Calculate the First Quartile (Q1)

To find the first quartile \( Q_1 \), we use the formula for the rank:

\[ \text{Rank} = Q \times (N + 1) = 0.25 \times (22 + 1) = 5.75 \]

Since the rank is not an integer, we take the average of the values at ranks 5 and 6:

\[ Q_1 = \frac{X_{\text{lower}} + X_{\text{upper}}}{2} = \frac{5 + 6}{2} = 5.5 \]

Step 3: Calculate the Third Quartile (Q3)

To find the third quartile \( Q_3 \), we use the formula for the rank:

\[ \text{Rank} = Q \times (N + 1) = 0.75 \times (22 + 1) = 17.25 \]

Again, since the rank is not an integer, we take the average of the values at ranks 17 and 18:

\[ Q_3 = \frac{X_{\text{lower}} + X_{\text{upper}}}{2} = \frac{11 + 12}{2} = 11.5 \]

Final Answer

The first and third quartiles are:

\[ \boxed{Q_1 = 5.5} \] \[ \boxed{Q_3 = 11.5} \]

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