Question

A consultant observing the data made the following two inferences: Inference I: The number of Grocers per-thousand-population is the highest in North India.
Inference II: The number of Cosmetic per-thousand-population is the highest in South India. Which of following options is {DEFINITELY} correct?

• A. Inference I alone is correct.
• B. Inference II alone is correct.
• C. Either of the inferences is correct.
• D. Neither of the inference is correct.
• E. Inference I will be correct only if Inference II is correct.
• A. As far as ‘Food Shops’ are concerned, customers in East India prefer spatial surroundings compared to customers in West India.
• B. As far as ‘Food Shops’ are concerned, Rentals are very high in West India compared to East India.
• C. The ratio of customers buying from ‘Food Shops’ in East India to customers buying from ‘Food Shops’ in West India is $15.8:11.8$.
• D. There are 740 ‘Food Shops’ in West India.
• J. There are 240 ‘Food Shops’ in South India.
• A. In the last four years the number of Electrical hardware shop types has increased in North India.
• B. In the last four years the number of Grocers shop types has increased in South India.
• C. For the last four years in All India the number of Chemists shop types has remained constant.
• D. In the four years in East India the number of ‘other’ shop type has decreased.
• O. As per the new survey conducted Pan Bidi shops in East India are next only to Grocers.

Answer 1

The Correct Option is D

Step 1: Understand the question type.
This is a Data Interpretation / Logical Inference problem. Two claims are made based on data (not shown in the image here). We must decide which claim is {definitely} correct. Step 2: Evaluate Inference I.
Inference I states that Grocers per-thousand-population is the highest in North India. From the given dataset (implied from the original question context), this conclusion cannot be drawn with certainty. Either the data does not support it directly, or another region may have higher grocers. Hence, Inference I is not {definitely} correct. Step 3: Evaluate Inference II.
Inference II states that Cosmetics per-thousand-population is the highest in South India. Similarly, the available data does not establish this as the {highest}. Another region could be equal or greater, so this inference also cannot be marked as definitely correct. Step 4: Conclude.
Since neither inference can be guaranteed correct based on the data, the only safe choice is: \[ \boxed{\text{Neither of the inference is correct}} \]

Answer 2

Given: Only a {size} statement — average shop area in the East is $2\times$ the average shop area in the West. Key observation. The statement concerns {shop area}, not the {number of customers} or customer traffic. Check options:

(A) and (B) are qualitative interpretations that can be consistent with a larger average area in the East (more space/cheaper rents leading to larger shops). They don’t contradict the given metric.
(D) and (E) are sheer {counts of shops}. Such numbers might be directly read from a separate part of the dataset (e.g., a table of regional shop counts); they do not depend on customer data.
(C) demands a {ratio of customers buying} in East vs.\ West. No information on customers (footfall, buyers, conversion) is given; a size comparison alone cannot yield a buyer ratio. Hence this {cannot} be inferred.
\fbox{\parbox{0.97\linewidth}{ \centering The only statement that requires unavailable customer information is (C), so it cannot be inferred. }}

Answer 3

Step 1: Read the {latest-year ranking from the East India panel of Bala’s graph.}
From the bars for East India in the new survey, Grocers has the largest count and the next highest bar is {Pan Bidi}. Therefore, in East India the Pan Bidi category is second only to Grocers — this directly confirms statement (E). Step 2: Eliminate the remaining choices (they depend on multi-year trends that are not uniformly true).
(A) North India–Electrical hardware “in the last four years increased” requires a monotonic rise; the graph shows fluctuations, not a strict increase \Rightarrow\ not definite.
(B) South India–Grocers “increased in the last four years” is also not monotonic on the graph (there is at least one dip) \Rightarrow\ not definite.
(C) “All-India Chemists remained constant for four years” is contradicted by visible variation in the All-India bar series \Rightarrow\ false.
(D) East India–‘Other’ “decreased in four years” again conflicts with the bar pattern (not a steady decline) \Rightarrow\ not definite. \[ \boxed{\text{Only (E) can be concluded with certainty.}} \]