QUESTION IMAGE
Question
- what is the mean of the data? ______
- what is the median of the data? ______
- circle the data values that fall within the mean absolute deviation.
- which statements describe the distribution of the data in the box plot? select all that apply.
dot plot: x - axis labeled 1 to 10. dots: at 2 (1 dot), 3 (2 dots), 4 (3 dots), 5 (4 dots), 6 (3 dots), 7 (2 dots), 8 (1 dot).
box plot: title \pairs of pants owned\, x - axis from 0 to 20. options:
a) of the people surveyed, \\(\frac{1}{2}\\) own 7 to 13 pairs of pants.
b) of the people surveyed, \\(\frac{1}{4}\\) own 3 to 10 pairs of pants.
c) of the people surveyed, \\(\frac{1}{2}\\) own 13 to 18 pairs of pants.
d) of the people surveyed, \\(\frac{1}{4}\\) own 3 to 7 pairs of pants.
e) of the people surveyed, \\(\frac{3}{4}\\) own 10 to 18 pairs of pants.
Question 13: Mean Calculation
First, we need to determine the frequency of each data point from the dot plot:
- At 2: 1 dot
- At 3: 2 dots
- At 4: 3 dots
- At 5: 4 dots
- At 6: 3 dots
- At 7: 2 dots
- At 8: 1 dot
Now, calculate the sum of (value × frequency) and the total number of data points.
Step 1: Calculate Total Sum
\[
\]
Step 2: Calculate Total Number of Data Points
\[
1 + 2 + 3 + 4 + 3 + 2 + 1 = 16
\]
Step 3: Calculate Mean
Mean = \(\frac{\text{Total Sum}}{\text{Total Number of Data Points}} = \frac{80}{16} = 5\)
Question 14: Median Calculation
The total number of data points is 16 (even). For an even number of data points, the median is the average of the \(\frac{n}{2}\)-th and \((\frac{n}{2} + 1)\)-th values when sorted.
Step 1: Determine the Position of Median Values
\(n = 16\), so \(\frac{n}{2} = 8\) and \(\frac{n}{2} + 1 = 9\). We need the 8th and 9th values in the sorted data.
Step 2: Find the 8th and 9th Values
Let's list the cumulative frequencies:
- Up to 2: 1
- Up to 3: 1 + 2 = 3
- Up to 4: 3 + 3 = 6
- Up to 5: 6 + 4 = 10
So the 8th and 9th values are both 5 (since cumulative frequency at 5 is 10, which includes the 8th and 9th values).
Step 3: Calculate Median
Median = \(\frac{5 + 5}{2} = 5\)
Question 15: Mean Absolute Deviation (MAD)
First, we already know the mean (\(\mu = 5\)). Now, calculate the absolute deviation for each data point:
- For 2: \(|2 - 5| = 3\)
- For 3: \(|3 - 5| = 2\) (frequency 2)
- For 4: \(|4 - 5| = 1\) (frequency 3)
- For 5: \(|5 - 5| = 0\) (frequency 4)
- For 6: \(|6 - 5| = 1\) (frequency 3)
- For 7: \(|7 - 5| = 2\) (frequency 2)
- For 8: \(|8 - 5| = 3\) (frequency 1)
Step 1: Calculate Total Absolute Deviations
\[
\]
Step 2: Calculate MAD
MAD = \(\frac{\text{Total Absolute Deviations}}{\text{Total Number of Data Points}} = \frac{20}{16} = 1.25\)
Step 3: Determine Range for MAD
The range within the mean absolute deviation is \(\mu - \text{MAD}\) to \(\mu + \text{MAD}\), which is \(5 - 1.25 = 3.75\) to \(5 + 1.25 = 6.25\).
Now, identify data points within 3.75 to 6.25:
- 4 (frequency 3)
- 5 (frequency 4)
- 6 (frequency 3)
So we circle the data values 4, 5, and 6 (the dots at positions 4, 5, 6 on the number line).
Question 16: Box Plot Interpretation
A box plot shows:
- Minimum (leftmost dot)
- Q1 (25th percentile, left edge of box)
- Median (line inside box)
- Q3 (75th percentile, right edge of box)
- Maximum (rightmost dot)
From the box plot:
- Minimum: 3 (leftmost dot)
- Q1: 7 (left edge of box)
- Median: 10 (line inside box)
- Q3: 13 (right edge of box)
- Maximum: 18 (rightmost dot)
Now, analyze each option:
- Option A: \(\frac{1}{2}\) own 7 to 13 pairs. The box (Q1 to Q3) represents the middle 50%? No, wait, Q1 to Q3 is the interquartile range (IQR), which is 25th to 75th percentile (50% of data). Wait, no: Q1 is 25th, Q3 is 75th, so the middle 50% is between Q1 and Q3. Wait, the box is from Q1 (7) to Q3 (13), so 50% of data is between 7 and 13. So Option A says \(\frac{1}{2}\) (50%) own 7 to 13, which is correct.
- Option B: \(\frac{1}{4}\) own 3 to 10. Q1 is 7, Median is 10. The lower q…
Step1: Count frequencies of each data point.
Data points: 2(1), 3(2), 4(3), 5(4), 6(3), 7(2), 8(1).
Step2: Calculate total sum.
\(2×1 + 3×2 + 4×3 + 5×4 + 6×3 + 7×2 + 8×1 = 80\).
Step3: Calculate total number of data points.
\(1 + 2 + 3 + 4 + 3 + 2 + 1 = 16\).
Step4: Calculate mean.
\(\frac{80}{16} = 5\).
Step1: Determine n = 16 (even).
Median is average of 8th and 9th values.
Step2: Find 8th and 9th values.
Cumulative frequencies: 2(1), 3(3), 4(6), 5(10). 8th and 9th values are 5.
Step3: Calculate median.
\(\frac{5 + 5}{2} = 5\).
Step1: Calculate MAD.
Mean = 5. Absolute deviations: 3(1), 2(2), 1(3), 0(4), 1(3), 2(2), 3(1). Total deviations = 20. MAD = \(\frac{20}{16} = 1.25\).
Step2: Determine range.
\(5 - 1.25 = 3.75\) to \(5 + 1.25 = 6.25\).
Step3: Identify data points.
Data points 4, 5, 6 (dots at 4, 5, 6) fall within this range.
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