Why every answer from data raises the next question

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What the video covers, what to say before it, where a class usually goes wrong, and what to set afterwards. An account is free, and it opens every chapter of every book.

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What to assume they know

Turning a vague comparison into a question with a data answer — a statistical question is one that data can settle
Why one number is never enough to describe a data set — one summary number never describes a data set
Telling tall tales: how a truthful graph still misleads — a data set answers questions only about the cases it contains
Clustered bar graphs: comparing across categories and across time — reading a clustered graph and its scale
The habit of writing down a question before trying to answer it

What they should be able to do

Explain why variation in data provokes curiosity and a single flat figure does not
Generate follow-up questions from a completed analysis, and sort them into those data could settle and those it could not
Turn a loose wondering into a statistical question, naming what would be collected
Recognise the chapter's own pattern: identify what is given, infer from it, then ask what to look at next
Read a graph whose subject is deliberately withheld, and say what the shape of the data implies about it
Plan a small data collection of your own: what to record, over what period, and how to display it
Say why a finished analysis is a starting point rather than a result

Where it usually goes wrong

"An analysis ends with an answer." In this chapter it ends with a question, every single time. Count them if you like — p.104, p.118, p.121, p.126, p.128 and the last SUMMARY bullet all do the same thing.
"Wondering is what you do before you know any mathematics." The chapter puts its densest wondering after the analysis, not before it. You need the graph to know what to ask next.
"Every follow-up question can be answered with more data." Several of the chapter's own cannot. Asking whom price swings hurt is a question about economics and policy; the data only tells you the swings are there. Sorting questions by what could settle them is part of the skill.
"If the book does not answer it, the question was rhetorical." Some of these are open on purpose. Leaving a question open is a legitimate ending, and an explanation that manufactures a tidy answer teaches the opposite of the section.
"A guessing game about hidden data is a warm-up." The City 1 / City 2 exercise is doing real work: it forces the reader to read shape, symmetry and opposition out of raw numbers before any label is available to lean on.
"Projects are optional extras." Five of the thirteen items in the closing "Figure it Out" (Part II, §5.4, pp.129–134) are collections the student runs — items 6, 9, 11, 12 and 13; the other eight print their data. That is where the loop stops being something read about and becomes something done.

Questions to check understanding

Given a completed analysis, write two follow-up questions and say for each whether data could settle it
Rewrite a vague wondering as a statistical question, naming what would be collected and from whom
Given an unlabelled data set, describe its shape and suggest what it might measure
Design a small data collection: what to record, how often, for how long, and which display to use
"What further information would you need to answer this?" — the standard competency-based phrasing on data-handling items at this stage
Given a graph and a conclusion, state one additional question the conclusion raises
Explain, in two sentences, why a spread of values invites more questions than a single average does

Examples worth working on the board

The flat price against the varying one (Part II, §5.2, p.104). Input: the chapter contrasts a bare claim that onions cost ₹35 a kilo with the twenty-four monthly prices of §5.2, and says the first provokes nothing while the second provokes questions. Show the two together — one number, then the twelve-by-two table — and let the difference be visible before it is stated.
The six wonder-bubbles (Part II, §5.2, p.104). Checked against p.104; they are drawn as speech balloons around six children and extract as scrambled fragments. In paraphrase, the six ask: whether the seasons move the price; where the two towns are and how far apart; what determines an onion price at all; how much prices differ between shops in one neighbourhood; which other goods behave the same way; and whom the swings hurt or help — growers, buyers, the trade. Sort them: some are statistical questions in the sense of §5.1 and some are not, and that sorting is the topic's central exercise.
The owl's line (Part II, §5.2, p.104). Input: the page closes with a boxed remark to the effect that making sense of data both reveals things and sends your curiosity off in new directions. It is the thesis of this topic, printed thirty pages before the SUMMARY (Part II, p.134) says it again.
The rockets aftermath (Part II, §5.3, pp.117–118). Inputs: after working the launch graph the chapter records two things the reader might now want — to know why one country launches so much more than the others, and to see the same graph for earlier and later years — and then asks what else the reader is curious about. Neither is a question the graph can answer, and both are good questions. That is the point.
The withheld subject (Part II, §5.3, p.118). Checked against the printed page. Two twelve-column tables of numbers, headed only City 1 and City 2, with the reader asked to guess what they measure before being told. City 1: 210, 257, 372, 441, 536, 564, 555, 465, 394, 310, 222, 186. City 2: 459, 384, 381, 327, 304, 276, 295, 318, 369, 409, 435, 468. Run the guess live: the two rows move in opposite directions, both are near-symmetric about mid-year, and the totals are close. Only then reveal that they are monthly hours of daylight.
From graph to globe (Part II, §5.3, pp.119–120). Inputs: City 1 is Helsinki and City 2 is Wellington; each sits far from the Equator, one north and one south, so June is high summer for one and deep winter for the other; a world map with a pin on each is printed on p.120. This is the chapter's longest single chain from a bar chart to a fact about the planet.
What is left to explore (Part II, §5.3, p.121). Checked against the printed page. Two children's speech balloons about the Sun being visible at midnight near the poles, beside a credited photograph of the midnight Sun at Andøya in Norway. The chapter has just finished an analysis and immediately opens the next question — use it as the clearest single instance of the loop.
The two schools (Part II, §5.4, p.126). Inputs: the four questions the chapter prints as the reader's own after the twelve dot plots — why the same grades differ so much between the two schools, where the schools are, how tall the students in the reader's own school are, and what the average across all Class 6 children would be. The first two are the ones the chapter never answers. Say so; an unanswered question left standing is the honest end of that page.
After the national table (Part II, §5.4, pp.127–128). Inputs: the chapter asks for an estimate of average heights in 2029, an estimate of heights at ages 1 to 4 from a newborn length of 50 cm, and then lists further wonderings — the same patterns in weight, the same patterns in other countries, whether people were shorter centuries ago. Each is a fresh statistical question raised by an answered one.
The student projects (Part II, §5.4, pp.132–133). Inputs, all of them data collections the reader designs. Sentence lengths on one page of each of two textbooks. The lengths of every classmate's name, their starting letters, and a double bar graph of names by their first and last letters. A month-long tally of how often you leave the house. Family heights against each student's own height. Repeated one-minute and three-minute estimates by every member of a family.
The last SUMMARY bullet (Part II, p.134). Checked against the printed page. Of the six bullets, five state techniques and the sixth says that examining data leads to new questions and new directions. The chapter chose to end there.

Figures to have open

A single price tag beside a twelve-month price series. Standard schematic.
A question board that can hold six question cards and sort them into two trays. This is an added device and it carries section 2.
A reveal panel that shows two unlabelled twelve-value rows, plots them, and captions them last. Standard schematic, built from the printed values.
A tilted globe with two pins and the Sun off to one side, shown across a year. Standard schematic — the book's own p.120 map is a flat world map with two pins and the tilt is described in words only.
A branching diagram for the enquiry loop: question → collect → display → summarise → new question, drawn as a ring rather than a line.
The photograph of the midnight Sun on p.121 is credited to an outside photographer and must not be reproduced; use a redrawn night-time horizon instead.
No figure needs to be taken from the textbook.

Where this sits in the book

NCERT Ganita Prakash, Class 7, Part II, printed Chapter 5, "Connecting the Dots...". The pages used are §5.2, p.104 (the wondering that follows the onion analysis); §5.3, pp.117–121 (rockets, the withheld subject, the two cities, the midnight Sun); §5.4, pp.125–128 (Data Detective, the two schools, the national table) and pp.132–133 (the closing projects); and the SUMMARY on p.134. §5.1, p.98 is referenced for the definition this topic sends the reader back to.
Named sub-headings used: "Summer and Winter at the Same Time" (pp.118–121), "Telling Tall Tales" (pp.125–129) and the closing "Figure it Out" (pp.129–134). None carries a number.
Source file gegp205.pdf / gegp205.txt, printed pp.97–135; PDF page 1 is printed page 97.