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D. Data · Data and Likelihood

Data and Likelihood: Unit Review

D1.1 D1.2 D1.3 D1.4 D1.5 D2.1 D2.2About 40 minutes
Learning goals
  • I can sort, collect and show data in tally tables and graphs.
  • I can order data, answer questions about it, and make a decision using because.
  • I can use the words impossible, possible and certain to make predictions.

Time to review!

You have been a great data detective in this unit. You sorted things, collected data with tally marks, made graphs, read data to make decisions, and talked about what is impossible, possible, or certain.

Try the questions below. Each set matches one lesson. If a set feels tricky, go back to that lesson and look at the examples again.

1. Ask2. Collect3. Show4. DecideWhich petdo you like?Dog!DogCatFish012345DogCatFishDog has thetallest bar.5 is thegreatest number,so dog wins!
A data detective's 4 steps: ask one clear question, collect the answers with tally marks, show them in a graph, then use the numbers to make a decision. Dog 5, cat 3, fish 2.

Sorting Things by One Attribute

1

Sort by kind: 🥕🍎🥕🍎🍎🥕🥕. How many carrots? How many apples?

2

Group 1: ☀️ 🌻 🍋. Group 2: 🌊 💙 🫐. What is the sorting rule?

3

Why is "big and blue" not a good sorting rule?

Asking Questions and Making Tally Tables

1

How many is one bundle of 5 and 4 more lines?

2

How would you show 14 with tally marks?

3

Interview, observation, or experiment? Rolling a number cube 20 times to see which number comes up most.

Showing Data: Concrete Graphs, Pictographs, Line Plots and Bar Graphs

1

Pictograph Fish We Caught (each 🐟 = 1 fish). Monday: 🐟🐟🐟. Tuesday: 🐟🐟🐟🐟🐟. How many fish on Tuesday? How many more than Monday?

2

Which graph is best for answers that are numbers, like "How many pets do you have?"

3

A bar graph has no title. Why is that a problem?

Ordering Data and Drawing Conclusions

1

Favourite sport: Hockey 6, Basketball 2, Soccer 9, Swimming 4. Order from greatest to least.

2

Using the same data, how many more chose soccer than hockey?

3

Using the same data, how many children answered altogether?

4

Which sport should the class play at the next gym day? Explain with because.

impossiblepossiblecertainmight happenA moose will flyto the moon.Snow in Ottawanext January.Tomorrow comesafter today.very likely
The likelihood line from impossible to certain. Snow in Ottawa next January is possible and very likely, so it sits near the certain end, but it is not for sure.

Impossible, Possible, Certain: Making Predictions

1

Impossible, possible, or certain? You will grow 2 metres taller tonight.

2

A bag has 🔴🔴🔵🔵🔵🔵🔵🔵. Which colour is more likely to be pulled?

3

Getting a prize is certain. What about not getting a prize?

Just for fun

Why do graphs never get lost?

They always have a title and labels to tell them where they are!

How to use this review

  • Let your child try each set without looking at the lesson first.
  • Use real objects (blocks, buttons, coins) for sorting and graph questions. Draw tally marks on paper.
  • After each set, check answers together. Ask "How did you figure that out?"
  • If two or more questions in a set were tricky, go back to that lesson's examples before taking the quiz.
  • Short and cheerful is best. You can split this review over two days.
Check your understanding

Quiz

1.

Group A: 🐄 🐖 🐑. Group B: 🐔 🦆. What is the sorting rule?

2.

How many does this tally show? Two bundles of 5 and 4 more lines.

3.

Asking 10 friends their favourite sport is...

4.

Each picture = 1 child. The Cookie row shows 🍪🍪🍪🍪🍪🍪🍪. How many children chose cookies?

5.

Which graph puts one X above a number on a number line for each answer?

6.

Blue 3, Red 8, Green 5. Which list is in order from greatest to least?

7.

Cats 9, Dogs 5. How many more children chose cats?

8.

Pulling a green block from a bag of only green blocks is...

9.

A bag has 2 red and 8 blue counters. Which colour is less likely to be pulled?

10.

Ms. Roy's class liked apples best. Mr. Singh's class is the same size. What is a good prediction?

For parents and teachers

What this review covers: all of the Data and Likelihood unit: sorting by one attribute (D1.1), collecting data in tally tables (D1.2), showing data in graphs (D1.3), ordering and reading data to make decisions (D1.4, D1.5), and likelihood and predictions (D2.1, D2.2).

Which lesson to revisit:

  • Mistakes on sorting rules, or mixing two attributes: go back to Sorting Things by One Attribute.
  • Miscounting tally bundles, or mixing up interview, observation and experiment: go back to Asking Questions and Making Tally Tables.
  • Miscounting pictograph rows, mixing up graph types, or forgetting title, labels and source: go back to Showing Data.
  • Ordering in the wrong direction, confusing how many more with altogether, or decisions without a reason: go back to Ordering Data and Drawing Conclusions.
  • Calling likely events certain or unlikely events impossible, or expecting two groups to give identical data: go back to Impossible, Possible, Certain.

Quiz guide: question 1 is sorting; questions 2 and 3 are tally tables and collecting data; questions 4 and 5 are graphs; questions 6 and 7 are ordering and reading data; questions 8 to 10 are likelihood and predictions.

How to help: Redo one example from the lesson together with real objects, then try a similar question. Praise clear explanations that use because and a number.