Algebra 1 Data Distributions and Summary Statistics Worksheet (PDF)

Algebra 1 math worksheet: Data Distributions and Summary Statistics – Maths PDF


This data distributions worksheet 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.

Data distributions worksheet (Algebra 1) – first page of the printable PDF
Use these 20 problems to master data distributions and summary statistics (Common Core S-ID.A.1, S-ID.A.2, and S-ID.A.3). You will read dot plots, histograms, and box plots, compute measures of center and spread, test for outliers, and compare distributions in context. They move from quick warm-ups to multistep word problems, so slow down on the last six and check that each answer makes sense.

Algebra 1 · Common Core State Standards: S-ID.A.1, S-ID.A.2, S-ID.A.3

Data distributions worksheet: exercises 1 to 10

Exercise 1 – Mean

Find the mean of \(4, 8, 6, 10, 12\).

Exercise 2 – Median

Find the median of \(7, 3, 9, 1, 5\) and of \(12, 15, 18, 21\).

Exercise 3 – Range and mode

Find the range and the mode of \(6, 9, 9, 12, 14, 9, 7\).

Exercise 4 – Five-number summary

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Seven values.

Find the five-number summary of the data in the dot plot.

Exercise 5 – Interquartile range

Find the IQR of \(3, 5, 6, 8, 10, 12, 15, 16\).

Exercise 6 – Draw a box plot

Draw a box plot for minimum 2, Q1 4, median 7, Q3 9, and maximum 12.

Exercise 7 – Read a dot plot

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Number of pets per student.

The dot plot shows the number of pets owned by 9 students. Find the median and the mode.

Exercise 8 – Read a histogram

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Minutes spent on homework.

The histogram shows minutes spent on homework by 25 students. How many students spent less than 30 minutes? What percent is that?

Exercise 9 – Shape of a distribution

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Money spent at a school store.

The histogram shows dollars spent at a school store. Describe the shape.

Exercise 10 – Test for outliers

Use the 1.5 · IQR rule to decide whether the data \(12, 14, 15, 15, 16, 17, 18, 45\) contain an outlier.

Exercises 11 and up

Exercise 11 – Effect of an outlier

For the data \(12, 14, 15, 15, 16, 17, 18, 45\), find the mean and median. Then remove 45 and find them again. Which statistic changes more?

Exercise 12 – Standard deviation

Find the standard deviation of \(2, 4, 4, 4, 5, 5, 7, 9\) (divide by \(n\)).

Exercise 13 – Standard deviation with a calculator

Find the standard deviation of \(3, 5, 7, 9, 11\) to the nearest tenth.

Exercise 14 – Compare two data sets

TeamScoresA10, 12, 14, 16, 18B6, 10, 14, 18, 22
Scores of two teams.

Team A scores \(10, 12, 14, 16, 18\) and Team B scores \(6, 10, 14, 18, 22\). Compare the means and standard deviations (nearest tenth).

Exercise 15 – Best measure of center

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Pizza prices in dollars.

The prices of a pizza at five shops are $9, $10, $10, $11, and $25. Find the mean and the median. Which better describes a typical price?

Exercise 16 – Test scores

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Nine test scores.

Nine students scored \(72, 75, 78, 80, 82, 85, 88, 90, 98\). Find the mean (nearest tenth), the median, and the IQR.

Exercise 17 – Race times

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Times for 23 runners.

The histogram shows the 100-meter dash times of 23 runners in intervals of 1 second. About what fraction of runners finished in under 14 seconds?

Exercise 18 – Compare box plots

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Class A.
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Class B.

The box plots show the quiz scores for Class A and Class B. Compare the medians, IQRs, and ranges.

Exercise 19 – Daily steps

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Steps per day (thousands).

A student’s daily steps (in thousands) for 9 days are \(6, 7, 7, 8, 8, 9, 9, 10, 31\). Use the IQR rule to find any outlier, and say which statistics you would report.

Exercise 20 – Change every value

The data \(3, 5, 7, 9, 11\) have mean 7 and standard deviation \(\sqrt{8} \approx 2.8\). Find the mean and standard deviation after (a) adding 10 to every value, (b) multiplying every value by 2.

View solution

Key facts behind this data distributions worksheet

Key facts
  • 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 worksheet

Work through the exercises in order: they go from simple to challenging. Write every step on paper, then compare with the solutions page and redo any exercise you missed the next day.

Download the data distributions worksheet as a PDF with the button below and keep it with your notes.

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