Secondary 1 Statistics Worksheet
A statistics answer at this level is usually a sentence, not a number. Where did the data come from, who was left out of it, what kind of variable is being measured, and does the graph you chose suit that kind — those are the questions this set keeps asking, alongside the two calculations of the year: the arithmetic mean and the range. They are quick to compute and easy to misread, which is why nearly every question that asks for one also asks what it tells you. Read the questions on this page, or print the free PDF.
Practice worksheet — free PDF
No email, no account, no watermark. Teachers: photocopy it for your classes freely. Worked solutions and 9 harder problems come with the Secondary 1 Math bundle.
10 of the 11 questions
Each question targets one named concept from the sheet. Read them here, or print the PDF — it has working space under each one. 10 of the 11 questions are printed below. The other 1 is built on a diagram or a table of values that does not translate to the page, so it is in the free PDF — marked below where it would have come.
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Q1Measures of Dispersion
This question is built around a diagram or a table of values. Open it in the PDF.
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Q2Measures of Position
Seven sunflowers in a community garden were measured, in centimetres:
- Write the seven heights in order, from shortest to tallest.
- Give the minimum and the maximum of the distribution.
- Marie-\`Eve's sunflower measures cm. Counting from the shortest, what position does it occupy?
- Explain why the data must be put in order before part c) can be answered.
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Q3Methods Used to Collect Data
For each situation, state which data collection method was used — a census, a poll (survey) or a study — and justify your choice in one sentence.
- A high school records the transport used by every one of its students to find how many take the bus.
- A biologist sits beside a bike path and notes the colour of every helmet that passes between 8:00 and 9:00.
- A radio station telephones of its listeners to ask them their favourite kind of music.
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Q4Range
A weather station recorded these midday temperatures during one week in January:
- Calculate the range of these seven readings and say what it means here.
- The following Monday the station recorded . By how much does the range of the eight readings change?
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Q5Sampling Methods
A school of students wants a sample of students.
- The names are written on identical slips, mixed in a box, and slips are drawn. Name the sampling method used.
- The alphabetical list of the students is used, a starting name is drawn at random, and then every th name after it is taken. Name the sampling method used, and show where the number comes from.
- State the population and the sample in b).
- A third plan is to question the first students who walk through the door on Monday morning. Explain why this plan does not give a representative sample.
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Q6Sources of Bias
Each of these three survey plans contains one source of bias. Name the source in each case, then rewrite question a) so that it is neutral.
- “Don't you agree that our embarrassing, run-down skatepark should finally be rebuilt?”
- To find out what students think of the cafeteria food, a reporter questions only the students standing in the cafeteria line.
- Students are asked what they think of their gym teacher, while the gym teacher stands beside the interviewer.
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Q7Tables in Statistics
Twenty-four students were asked how many brothers and sisters they have:
- Build a frequency table for this data.
- Check your table by adding the frequencies.
- Give the range of the distribution.
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Q8The Mean
A class collected returnable bottles for seven days:
- Calculate the mean number of bottles collected per day.
- On how many days did the class collect more than the mean?
- If the class kept up this mean, how many bottles would it collect in days?
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Q9Types of Graphs in Statistics
For each situation, choose the most suitable graph — a bar graph, a broken-line graph or a circle graph — and justify your choice in one sentence.
- Showing how the students of a class split among the four workshops offered, so that each workshop's share of the class is visible.
- Showing the temperature inside a greenhouse, recorded every hour from 6:00 to 18:00.
- Comparing the number of medals won by five different clubs at the same tournament.
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Q10Types of Statistical Variables
Say whether each variable is qualitative or quantitative, and for the quantitative ones say whether they are discrete or continuous.
- The brand of skates a player wears.
- The number of goals scored in a game.
- The mass, in kilograms, of a student's backpack.
- The T-shirt size ordered (S, M, L, XL).
- The time, in seconds, taken to run m.
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Q11Synthesis — drawing on several sheets in this topic
The student council of a school of students wants to report the mean time students spend travelling to school. Two members stood at the front door from 7:50 to 8:00 one morning and questioned the first eight students who arrived. The times, in minutes, were
- Calculate the mean and the range of the eight times.
- These eight students were not chosen by any sampling method — they simply happened to be there. Give two reasons why the mean of these eight times is likely to be wrong for the whole school.
- The council decides to start again with a systematic sample of students taken from the complete list of the . Say exactly what it must do, and show where your interval comes from.
The 9 challenge problems for this topic are a separate, paid sheet and are not reproduced here.
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 says where, the range says how spread out (Q1, Q4, Q8)
Q1 is the whole idea in one table: two snow-clearing crews with the same mean and very different results. The mean is the total shared equally, so it tells you where the distribution sits — and by itself it cannot tell one steady crew from one wildly inconsistent one. The range, the largest value minus the smallest, is what separates them.
mean = sum of the values ÷ number of values range = maximum − minimumThe range is a single number, not a pair. “From −9 to 3” describes the data; the range is 12. Subtracting a negative minimum is where Q4 gets people: 3 − (−9) is 12, not 6, and a quick sketch of a number line settles it.
The range is a length, so it carries the unit of the data — 12 degrees, 34 centimetres, 25 driveways — and it can never be negative. An answer of −12 means the two values were subtracted the wrong way round.
One extreme value moves it a long way. The range looks at exactly two of the data and ignores everything between them, which is both why it is easy to compute and why it is a crude measure. Q4 makes that concrete by adding one colder day and asking how much the range changes.
Q8 puts the mean into a context where the follow-up matters more than the calculation: how many days beat the mean, and what the mean predicts over a longer stretch. A mean is a rate — per day, per student — so extending it to thirty days is a multiplication, and it is a prediction rather than a fact. Say which it is.
Order the data before you read anything positional off it. Q2 asks for the minimum, the maximum and the rank of one plant, and the final part asks why the sorting has to come first. The answer is that a position only exists relative to an ordering: in an unsorted list, “fourth” means fourth on the page, which is an accident of how the data were written down and not a fact about the plants. Sorting also makes the smallest and largest values impossible to miss, which is the other half of that question.
Census, poll or study — three ways of getting data (Q3)
Q3 asks which method each situation used, and asks for the justification in a sentence. The three are told apart by asking who or what was observed:
Census — every member of the population is examined. The school that records the transport of all of its students has taken a census, and no sampling question arises at all.
Poll (survey) — a sample is questioned and the result is extended to the whole population. This is the usual case, and it is the one where representativeness has to be argued.
Study — behaviour or characteristics are observed rather than asked about. Nobody is questioned; the observer records what happens.
The distinction is not academic: it decides what can go wrong. A census cannot be unrepresentative but is often impossible to run. A poll depends entirely on who was asked and how the question was worded. A study avoids what people say about themselves and is limited to what can be seen from outside.
Population, sample, and two ways to draw one (Q5)
The population is everyone the conclusion is about; the sample is the part of it actually examined. Q5 asks you to state both explicitly, because a conclusion is only as wide as its population and it is easy to slide from one to the other mid-sentence.
Building a systematic sample
Q5 and Q11 both ask for this, and both want to see where the interval came from.
- 1Start from a complete list of the population
Every member has to be on it. A systematic sample drawn from a partial list inherits whatever the list left out.
- 2Divide the population size by the sample size
That quotient is the interval. 480 students and a sample of 60 gives 480 ÷ 60 = 8, so every eighth name is taken. Show that division — it is the part of the answer that is being marked.
- 3Choose the starting point at random
Not the first name. Draw a start within the first interval, then step. Starting at the top makes the sample depend on how the list happens to be ordered.
- 4Step through the whole list
Keep going to the end and wrap round if you need to. Stopping partway turns a systematic sample into a sample of whoever the list puts first.
The other method in Q5 is the simple random draw: identical slips, mixed, drawn blind. What makes it random is not the mixing but the fact that every member has the same chance of being chosen. That is the test to apply to any proposed method, and it is what the last part of Q5 fails: questioning the first sixty students through the door on a Monday morning gives no chance at all to anyone who arrives late, and being early may well go with living nearby, taking a certain bus, or playing a sport before class. A sample is not representative because it is large; it is representative because of how it was drawn.
Sources of bias, and why a bigger sample does not fix them (Q6)
Q6 gives three survey plans, each spoiled in a different way, and asks you to name the source and then rewrite one question neutrally. The three are worth learning as separate faults, because they are repaired differently:
The wording of the question. A question that tells you what to think — packing an opinion into the description before it asks anything — is leading. Repair it by stripping every adjective that takes a side and asking the question flat.
Who was asked. Questioning people about the cafeteria while they queue in it excludes everyone who avoids the place, which is exactly the group whose opinion would change the result.
The conditions of the interview. People answer differently when the person being judged is standing beside them. Nothing about the question or the sample is wrong here; the setting is.
Bias is a direction, not a size. A biased method pushes every answer the same way, so collecting more answers by the same method produces a larger set of answers that are wrong in the same direction. Asking twice as many people who were already the wrong people to ask does not help. This is the point that has to be argued in words rather than with a calculation, and it is worth being able to say quickly.
What kind of variable is it? (Q10)
Every graph choice and every calculation on the sheet depends on this classification, and Q10 is where it is made explicit.
Qualitative — a category or a label. A brand, a sport, a T-shirt size. Sizes S, M, L, XL have an order, but they are still labels: there is no size halfway between S and M.
Quantitative discrete — counted, so only whole values occur. Goals scored, pets owned, brothers and sisters.
Quantitative continuous — measured, so any value in an interval is possible. A mass, a time, a height. The test is whether a value between two observations makes sense: 12.4 seconds does, 2.5 goals does not.
The trap is that a variable can be written with numbers and still be qualitative — a jersey number or a postal code identifies rather than measures, and averaging one produces a number that means nothing. The test is not “does it look like a number?” but “would adding two of these values, or averaging them, mean anything?”
Frequency tables and the choice of graph (Q7, Q9)
A frequency table turns a list of raw answers into a count per value, and Q7 asks you to check it by adding the frequencies back to the number of people surveyed. That check is not ceremony: it is the only way to notice that one answer was skipped or counted twice while tallying, and it takes a second.
Circle graph — how one whole divides into parts. Every individual falls in exactly one sector, and the sectors add to the whole, which is what lets the picture be a circle at all.
Broken-line graph — how one quantity changes, usually over time. The line between two points claims something about the values in between, so it only makes sense when there is a continuous progression from one reading to the next.
Bar graph — comparing separate categories or separate groups. The bars stand apart because there is nothing between one category and the next.
Q9 asks for the choice and the justification, and the justification is the mark. The two errors it is guarding against are joining up categories that have no order — a line drawn across four different sports claims a progression that does not exist — and putting into a circle a set of counts that do not divide a whole.
Q11: the synthesis question
The last free question runs the sheet end to end on one small data set: compute the mean and the range, criticise the sample the numbers came from, then design the sample that should have been taken. The eight students questioned at the door were not chosen by any method — they were simply present — so the criticism has to name specific reasons rather than say the sample is small. Then the repair is the systematic procedure above, with the interval shown as a division of the population size by the sample size, drawn from the complete list of the level.
That order — compute, then question the data, then propose a better method — is the shape of most statistics answers you will be asked for at this level, and it is worth practising as a sequence rather than as three separate skills.
Getting the most out of it
Write the data out in order before you touch it
Sorting costs one line and it hands you the minimum, the maximum and the range immediately, with any repeated value sitting visibly beside itself. Nearly every bookkeeping error on this topic — a value counted twice in a tally, a missing reading, a range subtracted the wrong way round — becomes obvious in a sorted list.
Interpret every number in a sentence, with its unit
“The range is 12” is half an answer; “the range is 12 °C, so the week's temperatures were spread over twelve degrees” is the whole one. Several questions ask explicitly what the number tells the supervisor, the coach or the council, and that sentence is the part being marked.
Ask who was left out
For every survey on this sheet, name a group of people the method could not reach. That single habit answers the sampling questions, the bias questions and the criticism part of the last question, because it is the same question underneath all three.
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 1 Math Solutions Bundle, which is what keeps the rest of the series free.
What else exists for Statistics
Three PDFs · 12 pages · all three are in the bundle below.
- Answer key — 3 pages. All 11 questions worked step by step, including the restrictions and the justifications. Not a list of final answers.
- Challenge problems — 6 pages, 9 problems. A separate sheet at exam-plus difficulty covering the same 10 concepts. Harder than anything on the free sheet.
- Challenge answer key — 3 pages. Every challenge problem worked to the same standard, with the checks shown.
- PDF, letter size, print-ready.
The one thing that's for sale
Every Secondary 1 Math topic — the complete Solutions Bundle
One download, one payment, the whole program. Every answer key and every challenge set for all 15 Secondary 1 Math worksheet sets — including this one.
- Worked solutions, not answer lists — every step written out
- Covers the whole year's program at this level
- Less than the price of one hour of tutoring — for the entire year's solutions
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 3 Math as well? The Secondary 3 Math bundle covers all 11 of its sets — 33 PDFs, 154 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 1 Solutions Bundle, which covers every set at this level.
What is the difference between the mean and the range?
The mean is the total shared equally between the values, so it says where the data sit. The range is the largest value minus the smallest, so it says how spread out they are. Two sets of data can have exactly the same mean and completely different ranges, which is why one number on its own never describes a distribution.
How do I find the range when some values are negative?
Subtract the smallest from the largest, keeping the signs. From −9 °C to 3 °C the range is 3 − (−9) = 12 °C, not 6. A range is a distance, so it always comes out positive and always carries the unit of the data.
What is the difference between a census, a poll and a study?
A census examines every member of the population. A poll questions a sample and extends the result to the whole population. A study observes behaviour or characteristics instead of asking anyone. Naming which one was used tells you straight away what can go wrong with the data.
How do I build a systematic sample?
Start from a complete list of the population, divide the population size by the sample size to get the interval, pick a starting point at random within the first interval, then take every nth name to the end of the list. Show the division — it is where the interval comes from, and it is part of the answer.
Why doesn't questioning more people fix a biased survey?
Because bias pushes every answer in the same direction. Asking twice as many people by the same flawed method gives twice as many answers that are wrong in the same way. The fix is to change how people are chosen, or how the question is worded, not how many are asked.
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.
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The same topic at the other level: Secondary 2 Math · Statistics.