Why it happens: both towns have 12 months of data, so here the totals and the averages point the same way. The gap is tiny — 67 paise per kilogram over a whole year. On the strength of the averages alone you should say the two towns are nearly the same, with Yahapur very slightly dearer.
Tip: 458 ÷ 12 = 38 remainder 2, so the answer is 38 and 2/12 = 38.1666… ≈ ₹38.17. Never round to "about ₹38" and then claim Yahapur is dearer — after rounding, the two are equal.
Q2.
What else do you wonder about?
Answer
This is an open question — good data always raises more questions than it answers. Here are questions that this particular table really can spark, in the spirit of the ones printed in the book.
Both towns are cheapest in February and dearest in October–November. Is that because the new crop arrives in winter and the old stock runs out before it?
Yahapur's prices climb steadily month after month; Wahapur's jump about. Does Wahapur have fewer shops, or does it get its onions from further away?
In April and May, Wahapur is suddenly dearer than Yahapur by ₹2 and ₹8. Was there a transport problem, or a local festival?
What happens to a family's monthly budget when the price goes from ₹17 to ₹60 — more than three times — inside one year?
Does the farmer who grew the onions receive three times as much in October as in February, or does the extra money stay with traders?
Would potatoes, tomatoes or dal show the same shape over the year?
Why it happens: a single statement like "onions cost ₹35 a kilo" invites no further thought. A table of twelve varying values does, because every rise and dip asks to be explained. Curiosity is the first step of statistics, not the last.
Tip: pick one of your questions and decide what data you would need to answer it. That turns a wondering into a statistical question.