QUESTION IMAGE
Question
the five point summary is as follows: min = 1.9, q₁ = 2.6, median = 3, q₃ = 3.2, max = 4.4. the interquartile range is iqr = 0.6. give the outlier fences below.
table with lower fence (1.7) and upper fence (4.1)
list any outliers below. if there is more than 1, separate them by commas.
4.4
part 3 of 3
hint 7 hint 8
the only outlier in the data set is 4.4.
slide the elements of the boxplot below into their correct positions.
boxplot with x-axis: 1.5, 2, 2.5, 3, 3.5, 4, 4.5; points: 1.5 (marked with *), 2.4, 3.2, 4.1, 4.9; blue box between 2.4 and 4.1, line at 3.2, whiskers to 1.5 and 4.9, outlier at 1.4? (note: ocr may have minor errors, but key elements are boxplot and numerical data)
To determine the correct positions for the boxplot elements, we use the five - number summary and the outlier fences:
Step 1: Identify the minimum, \(Q_1\), median, \(Q_3\), and maximum (non - outlier)
- The minimum value (excluding outliers) is \(1.9\). But we also have an outlier at \(4.4\), and the upper fence is \(4.1\). So the maximum non - outlier value is the largest value less than or equal to the upper fence. From the given data, the values we have are related to the five - number summary: \(\text{min}=1.9\), \(Q_1 = 2.6\), \(\text{median}=3\), \(Q_3=3.2\), \(\text{max}=4.4\) (outlier), and upper fence \(= 4.1\).
- The left end of the box (lower quartile, \(Q_1\)) should be at \(2.6\) (but in the given numbers for sliding, we have \(2.4\) which seems incorrect, maybe a typo, but following the correct five - number summary logic:
- The left whisker should go to the minimum non - outlier value. The lower fence is \(1.7\), and the minimum data value is \(1.9\) which is greater than the lower fence (\(1.9>1.7\)), so the left end of the whisker is at \(1.9\). But in the given sliding elements, we have \(1.5\) (maybe a different scale, but let's use the given numbers).
- The left side of the box ( \(Q_1\)): In a boxplot, the box starts at \(Q_1\). From the five - number summary, \(Q_1 = 2.6\), but in the sliding elements, we have \(2.4\) (maybe a mistake, but let's proceed with the given sliding numbers and the correct positions based on the five - number summary and fences).
- The median line inside the box: The median is \(3\), but in the sliding elements, we have \(3.2\) (maybe a mistake).
- The right side of the box ( \(Q_3\)): \(Q_3 = 3.2\)
- The right end of the whisker (non - outlier maximum): The upper fence is \(4.1\), so the right end of the whisker is at \(4.1\) (since \(4.4\) is an outlier, it is plotted as a separate point).
- The outlier: \(4.4\) (or \(4.9\) in the sliding elements? Maybe a typo, but based on the earlier calculation, the outlier is \(4.4\))
Correct Positions (assuming the sliding elements are to be matched to the correct boxplot parts):
- The leftmost point (outlier or minimum? But we know the outlier is \(4.4\), and the minimum is \(1.9\). Wait, in the given boxplot, there is a star at \(1.4\) or \(1.5\)? Maybe the lower fence is \(1.7\), and if there was a value less than \(1.7\), it would be an outlier, but our minimum is \(1.9>1.7\), so no lower outlier. The upper outlier is \(4.4\) (or \(4.9\) in the sliding elements, maybe a typo).
- The left end of the box ( \(Q_1\)): Should be at \(2.6\), but in the sliding elements, we have \(2.4\) (maybe a mistake, but if we follow the given sliding numbers and the correct boxplot structure:
- The box starts at \(Q_1\) (let's say \(2.4\) is a misprint for \(2.6\)), the median line at \(3\) (misprint for \(3.2\)? No, median is \(3\)), the box ends at \(Q_3 = 3.2\), the right whisker ends at upper fence \(4.1\), and the outlier is at \(4.4\) (or \(4.9\)).
But based on the given five - number summary and the outlier calculation:
- Lower Fence: \(Q_1-1.5\times\text{IQR}=2.6 - 1.5\times0.6=2.6 - 0.9 = 1.7\)
- Upper Fence: \(Q_3 + 1.5\times\text{IQR}=3.2+1.5\times0.6=3.2 + 0.9 = 4.1\)
So the non - outlier maximum is the largest value \(\leq4.1\). Our original max is \(4.4>4.1\), so \(4.4\) is an outlier.
For the boxplot:
- The left whisker goes from the minimum (\(1.9\)) to \(Q_1(2.6)\)
- The box is from \(Q_1(2.6)\) to \(Q_3(3.2)\) with the median (\(3\)) inside.
- The right whisker goes from \(Q_3(3.2)\) to the upper fe…
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To determine the correct positions for the boxplot elements, we use the five - number summary and the outlier fences:
Step 1: Identify the minimum, \(Q_1\), median, \(Q_3\), and maximum (non - outlier)
- The minimum value (excluding outliers) is \(1.9\). But we also have an outlier at \(4.4\), and the upper fence is \(4.1\). So the maximum non - outlier value is the largest value less than or equal to the upper fence. From the given data, the values we have are related to the five - number summary: \(\text{min}=1.9\), \(Q_1 = 2.6\), \(\text{median}=3\), \(Q_3=3.2\), \(\text{max}=4.4\) (outlier), and upper fence \(= 4.1\).
- The left end of the box (lower quartile, \(Q_1\)) should be at \(2.6\) (but in the given numbers for sliding, we have \(2.4\) which seems incorrect, maybe a typo, but following the correct five - number summary logic:
- The left whisker should go to the minimum non - outlier value. The lower fence is \(1.7\), and the minimum data value is \(1.9\) which is greater than the lower fence (\(1.9>1.7\)), so the left end of the whisker is at \(1.9\). But in the given sliding elements, we have \(1.5\) (maybe a different scale, but let's use the given numbers).
- The left side of the box ( \(Q_1\)): In a boxplot, the box starts at \(Q_1\). From the five - number summary, \(Q_1 = 2.6\), but in the sliding elements, we have \(2.4\) (maybe a mistake, but let's proceed with the given sliding numbers and the correct positions based on the five - number summary and fences).
- The median line inside the box: The median is \(3\), but in the sliding elements, we have \(3.2\) (maybe a mistake).
- The right side of the box ( \(Q_3\)): \(Q_3 = 3.2\)
- The right end of the whisker (non - outlier maximum): The upper fence is \(4.1\), so the right end of the whisker is at \(4.1\) (since \(4.4\) is an outlier, it is plotted as a separate point).
- The outlier: \(4.4\) (or \(4.9\) in the sliding elements? Maybe a typo, but based on the earlier calculation, the outlier is \(4.4\))
Correct Positions (assuming the sliding elements are to be matched to the correct boxplot parts):
- The leftmost point (outlier or minimum? But we know the outlier is \(4.4\), and the minimum is \(1.9\). Wait, in the given boxplot, there is a star at \(1.4\) or \(1.5\)? Maybe the lower fence is \(1.7\), and if there was a value less than \(1.7\), it would be an outlier, but our minimum is \(1.9>1.7\), so no lower outlier. The upper outlier is \(4.4\) (or \(4.9\) in the sliding elements, maybe a typo).
- The left end of the box ( \(Q_1\)): Should be at \(2.6\), but in the sliding elements, we have \(2.4\) (maybe a mistake, but if we follow the given sliding numbers and the correct boxplot structure:
- The box starts at \(Q_1\) (let's say \(2.4\) is a misprint for \(2.6\)), the median line at \(3\) (misprint for \(3.2\)? No, median is \(3\)), the box ends at \(Q_3 = 3.2\), the right whisker ends at upper fence \(4.1\), and the outlier is at \(4.4\) (or \(4.9\)).
But based on the given five - number summary and the outlier calculation:
- Lower Fence: \(Q_1-1.5\times\text{IQR}=2.6 - 1.5\times0.6=2.6 - 0.9 = 1.7\)
- Upper Fence: \(Q_3 + 1.5\times\text{IQR}=3.2+1.5\times0.6=3.2 + 0.9 = 4.1\)
So the non - outlier maximum is the largest value \(\leq4.1\). Our original max is \(4.4>4.1\), so \(4.4\) is an outlier.
For the boxplot:
- The left whisker goes from the minimum (\(1.9\)) to \(Q_1(2.6)\)
- The box is from \(Q_1(2.6)\) to \(Q_3(3.2)\) with the median (\(3\)) inside.
- The right whisker goes from \(Q_3(3.2)\) to the upper fence (\(4.1\))
- The outlier is at \(4.4\)
If we are to slide the elements:
- The leftmost non - outlier point (start of left whisker): \(1.9\) (but in the given sliding elements, we have \(1.5\), maybe a different dataset scale, but based on the given numbers in the problem:
- The left end of the box ( \(Q_1\)): \(2.4\) (maybe incorrect, but if we use the given sliding numbers and the correct boxplot logic, the box should be between \(Q_1\) and \(Q_3\), median in the middle, whiskers to non - outlier min and max, and outlier as a separate point.
Assuming the sliding elements are:
- Left outlier (if any): But our lower fence is \(1.7\), min is \(1.9\), so no left outlier. The star at \(1.4\) or \(1.5\) is maybe a distractor.
- Left end of box: \(2.4\) (should be \(2.6\))
- Median line: \(3.2\) (should be \(3\))
- Right end of box: \(3.2\) (correct, \(Q_3\))
- Right end of whisker: \(4.1\) (correct, upper fence)
- Outlier: \(4.4\) (or \(4.9\) in the sliding elements, maybe a typo)
But if we strictly follow the calculation for the boxplot elements:
- Minimum (non - outlier): \(1.9\)
- \(Q_1\): \(2.6\)
- Median: \(3\)
- \(Q_3\): \(3.2\)
- Maximum (non - outlier): \(4.1\)
- Outlier: \(4.4\)
If we have to use the given sliding numbers ( \(1.5\), \(2.4\), \(3.2\), \(4.1\), \(4.9\)):
- The left whisker should be at the minimum non - outlier. Since our min is \(1.9\), but the closest in the sliding numbers is \(1.5\) (maybe a different dataset).
- The left end of the box ( \(Q_1\)): \(2.4\)
- The median line: \(3.2\) (incorrect, but maybe a mistake)
- The right end of the box ( \(Q_3\)): \(3.2\) (correct)
- The right end of the whisker: \(4.1\) (correct)
- The outlier: \(4.9\) (maybe a misprint for \(4.4\))
However, based on the initial five - number summary and outlier calculation, the correct outlier is \(4.4\), and the boxplot elements should be positioned as:
- Left whisker: from \(1.9\) to \(2.6\)
- Box: from \(2.6\) to \(3.2\) with median at \(3\)
- Right whisker: from \(3.2\) to \(4.1\)
- Outlier: at \(4.4\)
If we consider the sliding elements given ( \(1.5\), \(2.4\), \(3.2\), \(4.1\), \(4.9\)) and match them:
- The leftmost point (maybe a lower outlier, but we don't have one, so maybe it's a mistake, but if we assume):
- Left outlier: \(1.5\) (incorrect, but for the sake of sliding)
- Left end of box: \(2.4\)
- Median: \(3.2\) (incorrect)
- Right end of box: \(3.2\) (correct)
- Right end of whisker: \(4.1\) (correct)
- Outlier: \(4.9\) (incorrect, should be \(4.4\))
But the correct outlier is \(4.4\), and the boxplot should be constructed with the five - number summary values.