Questions: Loyd and Abby surveyed people they met at the theater about how many times they ate out in an average month. The results are given below. Average times dining out per month 5, 8, 12, 4, 11, 6 7, 2, 3, 5, 4, 9 9, 13, 12, 1, 1, 3 8, 8, 13, 4, 5, 6 2, 10, 9, 21, 3, 3 5, 1, 14, 7, 12, 0 Are there any outliers in this data? Explain your answer and give any applicable outliers.

Loyd and Abby surveyed people they met at the theater about how many times they ate out in an average month. The results are given below.

Average times dining out per month
5, 8, 12, 4, 11, 6
7, 2, 3, 5, 4, 9
9, 13, 12, 1, 1, 3
8, 8, 13, 4, 5, 6
2, 10, 9, 21, 3, 3
5, 1, 14, 7, 12, 0

Are there any outliers in this data? Explain your answer and give any applicable outliers.
Transcript text: Loyd and Abby surveyed people they met at the theater about how many times they ate out in an average month. The results are given below. \begin{tabular}{|c|c|c|c|c|c|} \hline \multicolumn{6}{|c|}{ Average times dining out per month } \\ \hline 5 & 8 & 12 & 4 & 11 & 6 \\ \hline 7 & 2 & 3 & 5 & 4 & 9 \\ \hline 9 & 13 & 12 & 1 & 1 & 3 \\ \hline 8 & 8 & 13 & 4 & 5 & 6 \\ \hline 2 & 10 & 9 & 21 & 3 & 3 \\ \hline 5 & 1 & 14 & 7 & 12 & 0 \\ \hline \end{tabular} Prev Step 3 of 6: Are there any outliers in this data? Explain your answer and give any applicable outliers.
failed

Solution

failed
failed

Solution Steps

Step 1: Data Preparation

The data collected from the survey is as follows:

\[ \text{Data} = [5, 8, 12, 4, 11, 6, 7, 2, 3, 5, 4, 9, 9, 13, 12, 1, 1, 3, 8, 8, 13, 4, 5, 6, 2, 10, 9, 21, 3, 3, 5, 1, 14, 7, 12, 0] \]

After sorting, the data becomes:

\[ \text{Sorted Data} = [0, 1, 1, 1, 2, 2, 3, 3, 3, 3, 4, 4, 4, 5, 5, 5, 5, 6, 6, 7, 7, 8, 8, 8, 9, 9, 9, 10, 11, 12, 12, 12, 13, 13, 14, 21] \]

Step 2: Calculate Q1 (25th Percentile)

To find \( Q_1 \), we use the formula:

\[ \text{Rank} = Q \times (N + 1) = 0.25 \times (36 + 1) = 9.25 \]

Since the rank is not an integer, we average the values at positions 9 and 10:

\[ Q_1 = \frac{X_{\text{lower}} + X_{\text{upper}}}{2} = \frac{3 + 3}{2} = 3.0 \]

Thus,

\[ Q_1 = 3.0 \]

Step 3: Calculate Q3 (75th Percentile)

To find \( Q_3 \), we use the formula:

\[ \text{Rank} = Q \times (N + 1) = 0.75 \times (36 + 1) = 27.75 \]

Again, since the rank is not an integer, we average the values at positions 27 and 28:

\[ Q_3 = \frac{X_{\text{lower}} + X_{\text{upper}}}{2} = \frac{9 + 10}{2} = 9.5 \]

Thus,

\[ Q_3 = 9.5 \]

Step 4: Calculate the Interquartile Range (IQR)

The IQR is calculated as:

\[ \text{IQR} = Q_3 - Q_1 = 9.5 - 3.0 = 6.5 \]

Step 5: Determine Outlier Thresholds

The lower and upper bounds for identifying outliers are calculated as follows:

\[ \text{Lower Bound} = Q_1 - 1.5 \times \text{IQR} = 3.0 - 1.5 \times 6.5 = -6.75 \]

\[ \text{Upper Bound} = Q_3 + 1.5 \times \text{IQR} = 9.5 + 1.5 \times 6.5 = 19.25 \]

Step 6: Identify Outliers

Any data point below the lower bound or above the upper bound is considered an outlier. In this case, the outlier is:

\[ \text{Outliers} = [21] \]

Final Answer

The outlier in the data is:

\[ \boxed{21} \]

Was this solution helpful?
failed
Unhelpful
failed
Helpful