Ganita Prakash, period by period — fitted to your timetable.
Tell Meyy your periods and their length; it plans every chapter of Ganita Prakash to fit, and you tick off sections as you teach.
What Makes a Question Statistical?
Of Questions and Statements · Inductive
Watch for students who classify any numerical question as statistical — the key test is whether the answer varies across cases and requires data collection rather than a single lookup. The gender-from-height opener works well to anchor that variation is the heart of the concept. The definition of statistics as collecting, organising, analysing, interpreting, and presenting data can be written on the board as a reference frame for the chapter.
0–8Open with the gender-from-height guessing scenario introduced in section 13.1: invite students to say whether one piece of height information is enough to decide, surfacing that variation in data is the problem. Establish the term statistical statement — a claim expressed in numbers, proportions, or predictions about a phenomenon.
8–20Walk through the chapter's own examples of statistical statements (batting consistency, cycling time, village population) and contrast them with exact-answer statements. Students sort three teacher-posed examples — one a precise fact, one a prediction, one a proportion — into 'statistical' or 'not statistical' and justify in pairs.
20–35Math Talk, section 13.1 p.98 ("Decide which of the following are statistical questions: (a) price of a tennis ball….") — students work individually, then compare answers with a partner, arguing from the definition: does the question expect variation and require data collection?
35–40Whole-class consolidation: take two contested items from the Math Talk exercise and hear competing justifications, drawing out that a statistical question requires gathering and analysing data because answers vary across contexts or people.
Math Talk, section 13.1 p.98 — Decide which of the following are statistical questions: (a) price of a tennis ball in India; (b) ages of dogs on this street; (c) fraction of the class who like walking up a hill; (d) do you like reading; (e) approximately how many bricks are in this wall; (f) best bowler in yesterday's match; (g) last year's rainfall pattern in Barmer.
Which of the following is a statistical question?
- A How many days are in a week?
- B How many hours do students in Grade 7 sleep each night?
- C What is 15 multiplied by 4?
- D What is the capital of India?
B. How many hours do students in Grade 7 sleep each night?
What each wrong option reveals
- A The student may be confusing a question involving counting with a statistical question; this question has one fixed numerical answer that does not vary.
- C The student may associate any numerical computation with statistics, rather than recognising that statistics concerns questions whose answers vary across a population.
- D The student may not yet distinguish between a lookup fact (a single fixed answer) and a question that requires gathering data from multiple cases.
Also saved as 10 periods or 14 periods.
- 2Arguing Whether a Question Demands Data
Of Questions and Statements - 3Fair Share: Building the Arithmetic Mean
Representative Values - 4Describing Data: Range, Dot Plots, and Mean
Representative Values - 5Median, Outliers, and When the Mean Misleads
Representative Values - 6Comparing Groups with Mean and Median
Representative Values - 7When Mean and Median Tell Different Stories
Representative Values - 8Reading and Building Double-Bar Graphs
Visualising Data - 9Constructing and Comparing Temperature and Vehicle Graphs
Visualising Data - 10Inferring Stories from Graphs — Hemispheres and Rocket Launches
Visualising Data - 11Separating Supported Claims from Unsupported Ones
Data Detective - 12Reading Trends: Growth, Extrapolation, and Limits
Data Detective - 13Constructing Graphs and Analysing Real Survey Data
Data Detective - 14Dot Plots, Skyscrapers, and Estimation Accuracy
Data Detective - 15Long Runs of Data: Sudoku Times and Dot-Plot Stories
Data Detective - 16Mini-Projects: Name, Sentence, and Language Data
Data Detective - 17Four Problems, One Chapter
Synthesis
- 1. Large Numbers Around Us
- 2. Arithmetic Expressions
- 3. A Peek Beyond the Point
- 4. Expressions Using Letter-Numbers
- 5. Parallel and Intersecting Lines
- 6. Number Play
- 7. A Tale of Three Intersecting Lines
- 8. Working with Fractions
- 9. Geometric Twins
- 10. Operations with Integers
- 11. Finding Common Ground
- 12. Another Peek Beyond the Point
- 13. Connecting the Dots
- 14. Constructions and Tilings
- 15. Finding the Unknown
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