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Secondary 3 Statistics Worksheet

Until this year a distribution had one summary: its mean. Secondary 3 gives it four more — the median, the mode, the quartiles and the interquartile range — and with them the two pictures that display them, the box-and-whisker plot and the scatter plot. Almost every question on this sheet turns on the same judgment: which measure describes this data honestly, and which one is being dragged around by a single extreme value? The sheet also covers sampling methods and what makes a sample useless, and frequency tables read as percentages. Read it on this page, print the PDF free when you want to write on it.

Practice worksheet — free PDF

11 pages 12 questions Letter size, print-ready

No email, no account, no watermark. Teachers: photocopy it for your classes freely. Worked solutions and 10 harder problems come with the Secondary 3 Math bundle.

8 of the 12 questions

Each question targets one named concept from the sheet. Read them here, or print the PDF — it has working space under each one. 8 of the 12 questions are printed below. The other 4 are built on a diagram or a table of values that does not translate to the page, so they are in the free PDF — marked below where they would have come.

  1. Q1Box and Whisker Plots

    This question is built around a diagram or a table of values. Open it in the PDF.

  2. Q2Measures of Central Tendency

    Nine second-hand bicycles were sold at a neighbourhood swap. The prices paid, in dollars, were 60,75,75,90,110,120,140,150,620.

    1. Calculate the mean price.
    2. Give the median price.
    3. Give the mode.
    4. Which of the three best describes what a buyer typically paid that day? Justify your choice.
  3. Q3Measures of Dispersion

    This question is built around a diagram or a table of values. Open it in the PDF.

  4. Q4Measures of Position

    Eleven swimmers were timed over 50 m. Their times, in seconds, in order, were 31, 33, 34, 36, 37, 39, 40, 42, 45, 48, 55.

    1. Give the minimum and the maximum of the distribution.
    2. Give the three quartiles.
    3. Zoé swam in 42 s. Between which two of those values does her time sit, and what does that say about her place in the group?
    4. The quartiles are called measures of position rather than measures of dispersion. Explain the difference.
  5. Q5Sampling Methods

    A regional sports federation has 4500 registered players: 1800 in soccer, 1500 in hockey and 1200 in basketball. It wants to question 150 of them.

    1. The federation wants each sport represented in the same proportion as in the whole membership. How many players should be drawn from each sport? Show your work and check your three numbers.
    2. Name the sampling method used in a).
    3. Instead, the federation lists all 4500 players, draws a random starting name among the first 30, and then takes every 30th name after it. Name that method and state how many players it selects.
  6. Q6Scatter Plots

    This question is built around a diagram or a table of values. Open it in the PDF.

  7. Q7Tables in Statistics

    Twenty students recorded how many times they used the city bike-share in one week: 0, 2, 1, 3, 1, 5, 2, 0, 1, 4, 2, 1, 3, 0, 2, 1, 4, 2, 3, 1.

    1. Build a table showing, for each value, the frequency and the relative frequency as a percentage.
    2. Check your table two ways.
    3. Give the mode and the range of the distribution.
    4. What percentage of the students used the bike-share at least three times?
  8. Q8The Mean

    At a robotics competition, the 12 members of team A scored a mean of 15 points each, and the 8 members of team B a mean of 20 points each.

    1. How many points did each team score in total?
    2. Calculate the mean score of all 20 competitors.
    3. Explain why the answer to b) is not 15+202=17.5 points.
  9. Q9The Median

    Ten pairs of second-hand skis were sold online. The prices, in dollars, were recorded in the order the sales happened: 145, 90, 210, 120, 175, 90, 160, 135, 200, 115.

    1. Write the ten prices in order.
    2. Find the median price.
    3. \'Etienne answers $132.50. Show exactly what he did, and say why it is wrong.
    4. Find the mean price and explain why it is not equal to the median here.
  10. Q10The Mode

    This question is built around a diagram or a table of values. Open it in the PDF.

  11. Q11The Quartiles

    Twelve students were asked how many minutes their trip to school takes. The answers, in the order given, were 26, 12, 34, 20, 45, 18, 30, 24, 38, 16, 28, 22.

    1. Write the twelve times in order.
    2. Find Q1, Q2 and Q3.
    3. Calculate the interquartile range and the range.
    4. How many of the twelve students have a trip between Q1 and Q3? Say what the interquartile range means for this group.
  12. Q12Synthesis — drawing on several sheets in this topic

    Eleven classes took part in a food drive. The amounts they raised, in dollars, were 40, 55, 40, 72, 65, 90, 50, 40, 75, 60, 260.

    1. Find the mean, the median and the mode.
    2. Find Q1, Q3, the interquartile range and the range.
    3. Which single number best describes what a typical class raised? Explain why the mean is misleading here, supporting your answer with a count.
    4. Between which two amounts does the middle half of the classes lie, and what does comparing that width with the range show?

The 10 challenge problems for this topic are a separate, paid sheet and are not reproduced here.

Which stream is this for? Secondary 3 has no streams. Every student in Québec follows the same programme this year — the common ground the CST, TS and SN options all build on from Secondary 4 — and this set is written to the Progression of Learning for that shared year: measures of central tendency, position and dispersion, box-and-whisker plots, scatter plots and sampling methods.

How to do every concept on this sheet

This is the part worksheet sites usually leave out. Below is the actual reasoning behind each group of questions — not a full solution set, the decisions that get you to one. Read it before you start, or after you get stuck.

The mean feels every value; the median only feels the middle

This one sentence explains Q2, Q9 and Q12, and it is the most useful idea on the sheet. The mean is computed from every number, so one unusual value pulls it. The median is a position in the ordered list, so an extreme value can be as extreme as it likes and the middle stays where it is.

Q2's bicycle sale makes it concrete. Eight ordinary bicycles and one vintage one at $620 give a mean of $160 — a price higher than eight of the nine bicycles actually sold. The median, $110, sits among the prices people really paid. Q12 repeats the shape with a food drive where one class raises $260, and asks you to support the choice with a count: nine of the eleven classes raised less than the mean. That count is the answer; "the mean is affected by outliers" on its own is not.

Which measure to name. Use the median when one or two values sit far from the rest. Use the mean when the data are reasonably even and you want every value to count — it is also the only measure that can be worked backwards from a total. Use the mode when the variable is qualitative, or when the question is literally "which one is chosen most".

Sort the list. Every time. (Q9, Q11)

The median is a position, so the values must be in order before anything is counted off. Q9 shows exactly what happens when they are not: the prices are given in the order the sales happened, and taking the 5th and 6th of that list produces a confident, well-presented, wrong answer. The order in which the data arrived has nothing to do with which value is in the middle.

With an odd number of values the median is the single middle one. With an even number it is the mean of the two middle values, and it may well be a number that appears nowhere in the data — that is correct, not a mistake. Q11's twelve travel times land exactly there.

The quartiles follow the same rule one level down: Q₂ is the median, Q₁ is the median of the lower half and Q₃ the median of the upper half. Split the list at the median first, then treat each half as its own little distribution.

Position or dispersion? (Q4)

Q4 asks why the quartiles are called measures of position rather than measures of dispersion, and the distinction runs through the whole sheet. A measure of position names a place in the ordered distribution — a value that a stated fraction of the data falls below. A measure of dispersion describes how spread out the data are, and it is always a difference.

range = maximum − minimum interquartile range = Q₃ − Q₁

So the interquartile range is a measure of dispersion built out of two measures of position, which is why the two ideas are easy to confuse and worth separating in writing.

Why the range is the weaker of the two (Q3)

Q3 gives two bus routes with identical ranges and asks what the interquartile range adds. The answer is the argument for the whole measure: the range is decided by two values only, so a single very late morning makes a reliable route look as erratic as an unreliable one. The interquartile range throws away the top and bottom quarters and measures the middle half, which is where a route's normal behaviour lives.

Q12 closes the same loop from the other side: a middle half spanning $35 inside an overall range of $220 says that the group is tightly bunched and one class is exceptional. Comparing the two numbers is the interpretation the question wants — a range six times the interquartile range is describing an outlier, not a distribution.

Reading a box-and-whisker plot (Q1)

A box plot draws the five-number summary — minimum, Q₁, median, Q₃, maximum — and its most useful property is also the least intuitive.

Each of the four sections holds about a quarter of the data. Not a quarter of the width — a quarter of the observations. So a long whisker does not mean more values out there; it means the same number of values spread over a wider span, which is exactly what less predictable looks like. Q1(d) is that reading: the same count of afternoons squeezed into six minutes at one end and stretched over ten at the other.

It follows that "about 25 % of the data lie above Q₃" needs no calculation at all — it is what Q₃ means.

The other side of the same coin: a box plot records five positions and nothing else. Two very different data sets can produce the same plot, so it cannot tell you the mean, and it cannot tell you how the values inside a section are arranged.

A scatter plot shows association, and association is not cause (Q6)

Q6 plots practice time against mistakes and asks for a description in two parts. The direction is negative here — more practice, fewer mistakes — and the strength is read from how tightly the points hug a single path. Both judgments are made from the plot, and both need a justification, not just a verdict.

Part (c) then estimates a value beyond the data collected, by continuing the pattern by eye, and asks why that is only an estimate. Three honest reasons: nobody in the sample practised that long, the pattern cannot continue below zero mistakes, and the number of mistakes depends on other things the plot never recorded. Saying so is the mark.

Two variables rising together does not mean one causes the other. A third variable can drive both at once — and when it does, the fix is to compare rates rather than totals. Two towns with three times the population, three times the facilities and three times the incidents have exactly the same rate per thousand residents, and the dramatic-looking rise turns out to be a picture of population.

Sampling: proportional, systematic, and how a method quietly fails (Q5)

Q5 covers the two methods this year names. Stratified sampling divides the population into groups and draws from each in proportion to its size — work out the fraction the sample represents, apply it to every group, and check that the parts add back to the total. Systematic sampling lists the population, picks a random start inside the first interval, and then takes every nth name after it.

Systematic sampling is the one with a hidden failure mode, and it is worth knowing before it appears on an assessment: if the interval happens to match a pattern already in the list, every person selected occupies the same position in their group, and the sample stops representing anything. The repair is either to remove the pattern — shuffle the list, or draw names at random — or to keep the groups deliberately and sample at random inside each one.

A weighted mean is not the mean of the means (Q8)

Q8 gives two teams with different sizes and different means, and asks for the mean of everyone. Averaging the two means treats the groups as though they were the same size. They are not, so the larger group must count for more.

The reliable method is to go back to totals: multiply each mean by its own count to recover that group's total, add the totals, and divide by the combined count. The same manoeuvre run backwards is what makes several harder questions on this material tractable — a mean and a count together give you a total, and a total is a number you can do arithmetic with. Notice the check the question builds in: the combined mean must land between the two group means, and closer to the larger group's.

Frequency tables, and the mean of a table (Q7)

Q7 turns twenty raw answers into a table of frequencies and relative frequencies, and asks you to check it two ways: the frequencies must add to the number of individuals, and the percentages must add to 100 %. Both checks take one line and catch a miscount immediately.

A table's mean is not the mean of its column headings. Averaging the possible values gives each value the same weight, as if one individual had answered each. Every value must be counted as many times as it actually occurred: multiply each value by its frequency, add, and divide by the total number of individuals — not by the number of different values.

Reading a median off a table works the same way. Add the frequencies from the top until you reach the middle position, and the value you are in when you get there is the median.

The mode is the only measure a qualitative variable has (Q10)

Q10 asks for favourite flavours, and part (b) asks why no mean and no median can be computed. The reason is worth stating precisely: a mean needs the values to be added and divided, and there is no such thing as one flavour plus another; a median needs them to be put in order from smallest to largest, and flavours have no such order. The mode only needs counting, so it survives.

Two limits on the mode, both worth remembering. It names the winner but not the margin — the most popular option can still be the choice of a minority. And a distribution may have two modes, or none at all, which is real information about the group rather than a problem to be smoothed away.

Getting the most out of it

Write the ordered list before anything else

Median, quartiles, minimum, maximum, range: every one of them is read off a sorted list, and the data are almost never given sorted. Rewrite the values in order as your first line, then count positions. It is one line of work that removes the single most common error on this sheet.

Say which measure you chose, and why, in a sentence

Several questions ask you to pick the measure that best describes a group. The choice alone earns little; the justification is the answer, and the strongest justification is a count — how many values fall below the mean, how far the extreme value sits from the rest.

Attach the unit and the context to every number

"An interquartile range of 13 minutes means the middle half of the students travel within a 13-minute band." A bare number rarely takes the full mark, and writing the sentence is also the fastest way to notice that you computed something other than what was asked.

Want the solutions, or something more challenging?

The worksheet, the questions above and every explanation on this page stay free permanently. Three more PDFs exist for this topic — the worked answer key, a harder problem set, and the answer key to that. They come with the Secondary 3 Math Solutions Bundle, which is what keeps the rest of the series free.

What else exists for Statistics

Three PDFs · 16 pages · all three are in the bundle below.

  • Answer key — 4 pages. All 12 questions worked step by step, including the restrictions and the justifications. Not a list of final answers.
  • Challenge problems — 8 pages, 10 problems. A separate sheet at exam-plus difficulty covering the same 11 concepts. Harder than anything on the free sheet.
  • Challenge answer key — 4 pages. Every challenge problem worked to the same standard, with the checks shown.
  • PDF, letter size, print-ready.
In the bundle See what's in it Not sold separately

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Every Secondary 3 Math topic — the complete Solutions Bundle

One download, one payment, the whole program. Every answer key and every challenge set for all 11 Secondary 3 Math worksheet sets — including this one.

11 sets · 33 PDFs · 154 pages$19.99
  • Worked solutions, not answer lists — every step written out
  • Covers the whole year's program at this level
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Everything paid, in one file $19.99CAD · one payment Secondary 3 Math bundle — coming soon Not on sale yet

Taking Secondary 1 Math as well? The Secondary 1 Math bundle covers all 15 of its sets — 45 PDFs, 182 pages — on the same terms.

Taking Secondary 2 Math as well? The Secondary 2 Math bundle covers all 14 of its sets — 42 PDFs, 181 pages — on the same terms.

Taking Secondary 4 Math as well? The Secondary 4 Math bundle covers all 17 of its sets — 51 PDFs, 154 pages — on the same terms.

Taking Secondary 5 Math as well? The Secondary 5 Math bundle covers all 21 of its sets — 63 PDFs, 228 pages — on the same terms.

Taking CEGEP Calculus I as well? The CEGEP Calculus I bundle covers all 8 of its sets — 24 PDFs, 82 pages — on the same terms.

Taking CEGEP Calculus II as well? The CEGEP Calculus II bundle covers all 8 of its sets — 24 PDFs, 90 pages — on the same terms.

Taking CEGEP Linear Algebra as well? The CEGEP Linear Algebra bundle covers all 7 of its sets — 21 PDFs, 82 pages — on the same terms.

Taking AP Calculus AB as well? The AP Calculus AB bundle covers all 8 of its sets — 24 PDFs, 126 pages — on the same terms.

Common questions

Is this worksheet really free?

Yes — the questions are on this page to read, and the PDF downloads directly, no email and no account. The one paid item is optional: the complete Secondary 3 Solutions Bundle, which covers every set at this level.

When should I use the median instead of the mean?

When one or two values sit far from the rest. The mean is computed from every number, so a single extreme value pulls it away from the group; the median is a position in the ordered list and does not move. Support the choice with a count — how many of the values fall below the mean — rather than with the phrase "there is an outlier".

How do I find the quartiles?

Sort the data, find the median, and split the list at it. Q₁ is the median of the lower half and Q₃ the median of the upper half. With an even number of values in a half, the quartile is the mean of the two middle ones, so it may be a number that appears nowhere in the data — that is correct.

Does a longer section of a box plot mean more data?

No. Each of the four sections holds about a quarter of the observations whatever its width, so a long whisker means the same number of values spread over a wider span — less predictable, not more numerous. It also follows that about 25 % of the data lie above Q₃ by definition, with nothing to calculate.

What is the difference between the range and the interquartile range?

The range is the maximum minus the minimum, so it is decided by two values and one unusual observation can dominate it. The interquartile range, Q₃ − Q₁, measures the middle half of the data and ignores the top and bottom quarters, so it describes how the group normally behaves. Comparing the two is often the point of the question.

If a scatter plot shows a strong association, does one variable cause the other?

No. A scatter plot shows that two variables vary together; a third variable may be driving both at once. When the hidden variable is the size of the group, comparing rates per thousand instead of raw totals usually makes the dramatic pattern disappear.

Why can't I average the two means of two groups?

Because that treats the groups as though they were the same size. Go back to totals: multiply each mean by its own count, add the totals, and divide by the combined count. The result must land between the two group means and closer to the larger group's — which is a free check on the arithmetic.

Can teachers use this in class?

Yes. Print and photocopy it for your own classes freely — I just ask that the tutorinmontreal.ca footer stays on the page.

I'm stuck on one question. Can you help?

Yes — through one-on-one tutoring, in Montreal or online. Get in touch to arrange a session, or see the current rates.

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← All 11 Secondary 3 Math worksheets  ·  Secondary 1 Math series (15 sheets) →  ·  Secondary 2 Math series (14 sheets) →  ·  Secondary 4 Math series (17 sheets) →  ·  Secondary 5 Math series (21 sheets) →  ·  CEGEP Calculus I series (8 sheets) →  ·  CEGEP Calculus II series (8 sheets) →  ·  CEGEP Linear Algebra series (7 sheets) →  ·  AP Calculus AB series (8 sheets) →

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