Algebra 1 Data Distributions and Summary Statistics Worksheet Solutions (PDF)

This data distributions answers for Algebra 1 covers data distributions and summary statistics (Common Core S-ID.A.1, S-ID.A.2, S-ID.A.3), with a free PDF to print.

Algebra 1 · Common Core State Standards: S-ID.A.1, S-ID.A.2, S-ID.A.3
Data distributions answers: exercises 1 to 10
Exercise 1 – Mean
Sum: \(4 + 8 + 6 + 10 + 12 = 40\). Divide by 5.
\(\frac{40}{5} = 8\)
Exercise 2 – Median
Order the first set: \(1, 3, 5, 7, 9\). The middle value is 5.
The second set has two middle values, 15 and 18: \(\frac{15 + 18}{2} = 16.5\).
5 and 16.5
Exercise 3 – Range and mode
Greatest 14, least 6: range \(14 – 6 = 8\).
The value 9 appears three times.
Range 8; mode 9
Exercise 4 – Five-number summary
Ordered: \(2, 4, 5, 7, 8, 9, 12\). Median: 7 (the 4th value).
Lower half \(2, 4, 5\): \(Q1 = 4\). Upper half \(8, 9, 12\): \(Q3 = 9\).
Minimum 2, Q1 4, median 7, Q3 9, maximum 12
Exercise 5 – Interquartile range
Lower half \(3, 5, 6, 8\): \(Q1 = \frac{5 + 6}{2} = 5.5\). Upper half \(10, 12, 15, 16\): \(Q3 = \frac{12 + 15}{2} = 13.5\).
\(\text{IQR} = 13.5 – 5.5 = 8\).
8
Exercise 6 – Draw a box plot
Draw a number line, a box from 4 to 9 with a line at 7, and whiskers to 2 and 12.
Box from 4 to 9, median line at 7, whiskers to 2 and 12
Exercise 7 – Read a dot plot
The 5th of 9 ordered values is 5.
The value 5 has the tallest stack of dots, 3 dots.
Median 5; mode 5
Exercise 8 – Read a histogram
Add the first three bars: \(2 + 5 + 9 = 16\).
\(\frac{16}{25} = 0.64 = 64\%\).
16 students; 64%
Exercise 9 – Shape of a distribution
The bars are tallest on the left and have a long tail to the right.
Skewed right
Exercise 10 – Test for outliers
Lower half \(12, 14, 15, 15\): \(Q1 = 14.5\). Upper half \(16, 17, 18, 45\): \(Q3 = 17.5\). \(\text{IQR} = 3\).
Fences: \(14.5 – 1.5(3) = 10\) and \(17.5 + 1.5(3) = 22\).
The value 45 is above 22.
45 is an outlier
Exercises 11 and up
Exercise 11 – Effect of an outlier
With 45: \(\text{mean} = \frac{152}{8} = 19\), median \(\frac{15 + 16}{2} = 15.5\).
Without 45: \(\text{mean} = \frac{107}{7} \approx 15.3\), median 15.
The mean dropped by about 3.7; the median dropped by 0.5.
The mean changes more
Exercise 12 – Standard deviation
Mean: \(\frac{40}{8} = 5\). Squared deviations: \(9 + 1 + 1 + 1 + 0 + 0 + 4 + 16 = 32\).
Variance: \(\frac{32}{8} = 4\). Standard deviation: \(\sqrt{4} = 2\).
2
Exercise 13 – Standard deviation with a calculator
Mean 7. Squared deviations: \(16 + 4 + 0 + 4 + 16 = 40\). Variance \(\frac{40}{5} = 8\).
\(\sigma = \sqrt{8} \approx 2.8\).
2.8
Exercise 14 – Compare two data sets
Both means are 14.
Team A: \(\sigma = \sqrt{8} \approx 2.8\). Team B: \(\sigma = \sqrt{32} \approx 5.7\).
Team B’s scores are more spread out.
Same mean 14; \(\sigma_{A} \approx 2.8\) and \(\sigma_{B} \approx 5.7\)
Exercise 15 – Best measure of center
Mean: \(\frac{9 + 10 + 10 + 11 + 25}{5} = \frac{65}{5} = 13\). Median: 10.
The $25 price is an outlier that raises the mean. Most shops charge about $10.
Mean $13, median $10; the median is more typical
Exercise 16 – Test scores
Mean: \(\frac{748}{9} \approx 83.1\). Median: 82.
Lower half \(72, 75, 78, 80\): \(Q1 = 76.5\). Upper half \(85, 88, 90, 98\): \(Q3 = 89\).
\(\text{IQR} = 89 – 76.5 = 12.5\).
Mean 83.1; median 82; IQR 12.5
Exercise 17 – Race times
Runners under 14 seconds: \(3 + 7 = 10\) out of \(3 + 7 + 9 + 4 = 23\).
\(\frac{10}{23} \approx 0.435\), about 43.5%.
\(\frac{10}{23}\), about 43.5%
Exercise 18 – Compare box plots
Class A: median 76, IQR \(84 – 68 = 16\), range \(95 – 55 = 40\).
Class B: median 75, IQR \(80 – 70 = 10\), range \(90 – 60 = 30\).
The medians are similar, but Class A has more variability.
Medians 76 and 75; IQRs 16 and 10; ranges 40 and 30
Exercise 19 – Daily steps
Lower half \(6, 7, 7, 8\): \(Q1 = 7\). Upper half \(9, 9, 10, 31\): \(Q3 = 9.5\). \(\text{IQR} = 2.5\).
Upper fence: \(9.5 + 1.5(2.5) = 13.25\). The value 31 is an outlier.
Report the median and IQR, because the mean and standard deviation are distorted by the outlier.
31 is an outlier; use median and IQR
Exercise 20 – Change every value
(a) Every value shifts by 10, so the mean becomes 17 and the spread is unchanged: \(\sigma \approx 2.8\).
(b) The mean doubles to 14 and the spread doubles: \(\sigma = 2\sqrt{8} \approx 5.7\).
(a) mean 17, σ ≈ 2.8; (b) mean 14, σ ≈ 5.7
Key facts behind this data distributions answers
- Dot plots show every value; histograms group data into intervals; box plots show five numbers.
- Mean = sum ÷ count; median = middle value.
- IQR = Q3 – Q1; range = maximum – minimum.
- Outlier rule: below Q1 – 1.5·IQR or above Q3 + 1.5·IQR.
- With outliers or skew, the median and IQR are better summaries than the mean and standard deviation.
How to use this data distributions answers
Cover each solution, solve the exercise again, then uncover it and compare every line. If your answer differs, find the first step that changed and redo the exercise from there.
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Download the data distributions answers as a PDF with the button below and keep it with your notes.
Download the data distributions answers as a PDF with the button below and keep it with your notes.
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