Case Study - 1 Some students are having a misconception while comparing decimals. For example, a student may mention that 78.56>78.9 as 7856>789. In order to assess this concept, a decimal comparison test was administered to the students of class VI through the following question : In the recently held Sports Day in the school, 5 students participated in a javelin throw competition. The distances to which they have thrown the javelin are shown below in the table :
| Name of student | Distance of javelin (in meters) |
|---|---|
| Ajay | 47.7 |
| Bijoy | 47.07 |
| Kartik | 43.09 |
| Dinesh | 43.9 |
| Devesh | 45.2 |
The students were asked to identify who has thrown the javelin the farthest. Based on the test attempted by the students, the teacher concludes that 40% of the students have the misconception in the concept of decimal comparison and the rest do not have the misconception. 80% of the students having misconception answered Bijoy as the correct answer in the paper. 90% of the students who are identified with not having misconception, did not answer Bijoy as their answer. On the basis of the above information, answer the following questions :
- What is the probability of a student not having misconception but still answers Bijoy in the test ? (1)
- What is the probability that a randomly selected student answers Bijoy as his answer in the test ? (1)
- (a) What is the probability that a student who answered as Bijoy is having misconception ? (2) OR
(iii) (b) What is the probability that a student who answered as Bijoy is amongst students who do not have the misconception ? (2)
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🔒 Start your 14-day free trial to unlock the full solution →Part (a)Concept understanding — Data Interpretation
Data Interpretation: Seeing the Story Behind the Numbers
Think of the last time you looked at a weather app. You saw a row of sun icons, a temperature graph that curved upward, and a percentage for rain. You didn't just see those symbols — you instantly understood that the afternoon would be hot and you should carry water. That act of moving from raw symbols to a meaningful conclusion is the heart of data interpretation.
What It Really Means
Data interpretation is the skill of reading, understanding, and explaining the meaning hidden inside tables, charts, graphs, and diagrams. It is not about doing arithmetic — it is about asking: What does this picture tell me? What is the trend? What is unusual? What conclusion can I draw?
In your NCERT textbooks for commerce and humanities, you will encounter data in many forms: a bar chart showing India's export growth over five years, a pie chart dividing household expenditure, a line graph of literacy rates across states, or a table of census figures. Your job is not to calculate percentages or sums — that is mathematics. Your job is to describe what you see, compare the parts, and infer the larger pattern or implication.
Data interpretation is a prose subject. You will never be asked to compute a number. You will be asked to write sentences like: "The graph shows a steady rise in exports from 2015 to 2019, with a sharp dip in 2020." The numbers are already given — you just have to read them correctly and put them into words.
Why It Matters for You
As a commerce or humanities student, you will spend your career making decisions based on data — whether you become an economist, a manager, a journalist, or a policy analyst. A table of sales figures is useless until someone interprets it: "Sales dropped in the third quarter because of the monsoon." A census table is just numbers until someone says: "The urban population is growing faster than the rural, which means cities need more schools."
Data interpretation is the bridge between raw information and real-world understanding. Without it, data is just noise. With it, you can spot trends, identify problems, and support arguments with evidence.
The Core Skills You Need
- Reading the axes and labels — Every graph has a title, an X-axis, a Y-axis, and a legend. You must know what each represents before you can say anything meaningful.
- Describing trends — Is the line going up, down, or staying flat? Is the bar taller this year than last? Use words like increase, decrease, fluctuate, peak, trough, steady, gradual, sharp.
- Making comparisons — Which category is largest? Which is smallest? How do two states compare? Use phrases like more than, less than, similar to, twice as much.
- Spotting exceptions — Is there a sudden jump or drop? A year that breaks the pattern? That is often the most important part to mention.
- Drawing a conclusion — What does the overall picture suggest? For example: "The data shows that female literacy has improved, but rural areas still lag behind urban areas."
Never invent numbers or statistics. The data is given to you — your job is to interpret what is already there, not to calculate new figures. If the table shows "45%", you say "45%". You do not convert it to a fraction or a decimal.
A Simple Example (Without Numbers)
Imagine a bar chart titled "Monthly Rainfall in Chennai." The bars are low from January to May, then shoot up in June, stay high through September, and drop again in October. You do not need to know the exact millimetres. You interpret: "Chennai receives most of its rainfall during the southwest monsoon months of June to September, with very little rain in the first half of the year."
That is data interpretation. You took a visual pattern and turned it into a clear, meaningful sentence.
Common Mistakes to Avoid
- Don't describe every single data point — That is just reading aloud. Instead, describe the overall pattern and mention only the most important highs, lows, or changes.
- Don't add your own opinions — "The government should do something about this" is not interpretation. Stick to what the data shows.
- Don't confuse correlation with causation — If two lines go up together, you can say they are related, but you cannot say one caused the other unless the data proves it. …
Part (b)Concept understanding — Data Interpretation
Data Interpretation: Seeing the Story Behind the Numbers
Think of the last time you looked at a weather app. You saw a row of sun icons, a temperature graph that curved upward, and a percentage for rain. You didn't just see those symbols — you instantly understood that the afternoon would be hot and you should carry water. That act of moving from raw symbols to a meaningful conclusion is the heart of data interpretation.
What It Really Means
Data interpretation is the skill of reading, understanding, and explaining the meaning hidden inside tables, charts, graphs, and diagrams. It is not about doing arithmetic — it is about asking: What does this picture tell me? What is the trend? What is unusual? What conclusion can I draw?
In your NCERT textbooks for commerce and humanities, you will encounter data in many forms: a bar chart showing India's export growth over five years, a pie chart dividing household expenditure, a line graph of literacy rates across states, or a table of census figures. Your job is not to calculate percentages or sums — that is mathematics. Your job is to describe what you see, compare the parts, and infer the larger pattern or implication.
Data interpretation is a prose subject. You will never be asked to compute a number. You will be asked to write sentences like: "The graph shows a steady rise in exports from 2015 to 2019, with a sharp dip in 2020." The numbers are already given — you just have to read them correctly and put them into words.
Why It Matters for You
As a commerce or humanities student, you will spend your career making decisions based on data — whether you become an economist, a manager, a journalist, or a policy analyst. A table of sales figures is useless until someone interprets it: "Sales dropped in the third quarter because of the monsoon." A census table is just numbers until someone says: "The urban population is growing faster than the rural, which means cities need more schools."
Data interpretation is the bridge between raw information and real-world understanding. Without it, data is just noise. With it, you can spot trends, identify problems, and support arguments with evidence.
The Core Skills You Need
- Reading the axes and labels — Every graph has a title, an X-axis, a Y-axis, and a legend. You must know what each represents before you can say anything meaningful.
- Describing trends — Is the line going up, down, or staying flat? Is the bar taller this year than last? Use words like increase, decrease, fluctuate, peak, trough, steady, gradual, sharp.
- Making comparisons — Which category is largest? Which is smallest? How do two states compare? Use phrases like more than, less than, similar to, twice as much.
- Spotting exceptions — Is there a sudden jump or drop? A year that breaks the pattern? That is often the most important part to mention.
- Drawing a conclusion — What does the overall picture suggest? For example: "The data shows that female literacy has improved, but rural areas still lag behind urban areas."
Never invent numbers or statistics. The data is given to you — your job is to interpret what is already there, not to calculate new figures. If the table shows "45%", you say "45%". You do not convert it to a fraction or a decimal.
A Simple Example (Without Numbers)
Imagine a bar chart titled "Monthly Rainfall in Chennai." The bars are low from January to May, then shoot up in June, stay high through September, and drop again in October. You do not need to know the exact millimetres. You interpret: "Chennai receives most of its rainfall during the southwest monsoon months of June to September, with very little rain in the first half of the year."
That is data interpretation. You took a visual pattern and turned it into a clear, meaningful sentence.
Common Mistakes to Avoid
- Don't describe every single data point — That is just reading aloud. Instead, describe the overall pattern and mention only the most important highs, lows, or changes.
- Don't add your own opinions — "The government should do something about this" is not interpretation. Stick to what the data shows.
- Don't confuse correlation with causation — If two lines go up together, you can say they are related, but you cannot say one caused the other unless the data proves it. …
Take the class size as 100 students (probabilities are unaffected by the total). Then 40 have the misconception and 60 do not. Of the 40 with it, 80% write "Bijoy" = 32; of the 60 without it, 10% write "Bijoy" = 6. So 38 students in all answer "Bijoy".
Part (a)
- P(no misconception but answers Bijoy) = fraction of the whole class in the no-misconception group who chose Bijoy = 6/100 = 0.06.
- P(a student answers Bijoy) = total Bijoy answers / class = 38/100 = 0.38. …
Part (a): (i) P(no-misconception and Bijoy) =0.06; (ii) P(Bijoy) =0.38; (iii)(a) P(misconception | Bijoy) =1916≈0.842. Part (b): (iii)(b) P(no-misconception | Bijoy) =193≈0.158 (the complement of (iii)(a)).
Setting up the numbers. Assume 100 students. The teacher finds 40% carry the decimal-comparison misconception (reading 47.07 as "4707" and so calling Bijoy the farthest) and 60% do not. Among the 40 with the misconception, 80% answer "Bijoy": 0.80×40=32. Among the 60 without it, only 10% answer "Bijoy" (since 90% did not): 0.10×60=6. Hence the total who answer "Bijoy" is 32+6=38.
Part (a)
(i) A student who does not hold the misconception yet still writes Bijoy: that is the no-misconception group (60% of class) times the 10% of them who chose Bijoy, i.e. 0.60×0.10=0.06, or 6 students out of 100.
(ii) A randomly picked student answers Bijoy by either route: with-misconception (0.40×0.80=0.32) plus without-misconception (0.60×0.10=0.06). Total =0.32+0.06=0.38.
(iii)(a) Given the student answered Bijoy, the chance they hold the misconception is, by Bayes' theorem,
P(misconception∣Bijoy)=0.380.32=3832=1916≈0.842. …
Method: Reverse (Bayes) probability via a hypothetical population
Use this for "given the effect, find the probability of the cause" questions — you know how likely each group is to produce an observation and must, from that observation, judge which group a person came from.
Steps
Step 1: Split the population into its causes
Identify the mutually exclusive groups (here: "has the misconception" vs "does not") and their prior fractions. Taking a convenient round total such as 100 people turns every percentage into a whole-number count and removes fractions from the arithmetic.
Step 2: Apply the conditional rates to each branch
For each group, multiply its size by the rate at which it produces the observed answer. This is the multiplication rule
P(group∩answer)=P(answer∣group)P(group).
Step 3: Total probability of the observation
Add the branch results to get everyone who gives that answer: …
Common Mistakes
Mistake 1: Answering (iii) with P(Bijoy∣misconception)=0.8 instead of P(misconception∣Bijoy).
Why it's wrong: the question conditions on the answer given, not on the group, so you must reverse the conditioning with Bayes. Correct approach: P(misconception∣Bijoy)=0.380.32=1916≈0.842.
Mistake 2: Taking P(Bijoy)=0.32 and forgetting the no-misconception students who still chose Bijoy. …
Showing the 12 most recent of 109 on this concept.
- TG EAPCET 2026Set eng-2026-05-09-FN1 markMCQQ.If nCr(n−1)Cr−1=53; nCr(n+1)Cr+1=711, then nCr+3÷r nCn/2= (A) 53 (B) 12 (C) 8 (D) 35
›Reveal solutionSolution
The two ratios give nr=53 and r+1n+1=711, so n=10, r=6, and the required value is 35.
Simplify the given ratios.
nCrn−1Cr−1=nr=53 ⇒ 5r=3n,
nCrn+1Cr+1=r+1n+1=711 ⇒ 7(n+1)=11(r+1).
Solve. With r=53n:
7(n+1)=11(53n+1)⇒35(n+1)=11(3n+5)⇒35n+35=33n+55⇒n=10, r=6.
Check: 9C5/10C6=126/210=3/5 and 11C7/10C6=330/210=11/7. ✓
Evaluate. With n=10, r=6: nCr+3=10C9=10, so
r10C9=610=35. …
- TG EAPCET 2026Set eng-2026-05-09-FN1 markMCQQ.Let [t] represent the greatest integer less than or equal to t. If x=(75+15)9 and y=(57+13)11 then [x] and [y] are (A) even integer and odd integer respectively (B) odd integer and even integer respectively (C) both odd integers (D) both even integers
›Reveal solutionSolution
Pairing each surd with its conjugate gives an integer sequence an+bn (resp. pn+qn) that is even for all n; the conjugate's odd power is a small negative number, so [x] and [y] equal those even integers.
For x=(15+75)9. Let a=15+75, b=15−75. Then
a+b=30,ab=152−(75)2=225−245=−20,
and b=15−75≈−0.65, so −1<b<0.
Sn=an+bn satisfies Sn=(a+b)Sn−1−abSn−2=30Sn−1+20Sn−2 with S0=2, S1=30 — an integer for all n. Since b<0, b9<0 and ∣b9∣<1, so
x=S9−b9=S9+∣b9∣,
which lies just above the integer S9; hence [x]=S9. Modulo 2: 30≡0, 20≡0, and S0,S1 are even, so every Sn is even. Thus [x]=S9 is even.
For y=(13+57)11. Let p=13+57, q=13−57. Then
p+q=26,pq=169−175=−6, …
- TG EAPCET 2026Set eng-2026-05-10-AN1 markMCQQ.Consider the following Assertion (A): 52n−32n−1 is divisible by 2 for all n∈N Reason (R): 52n+32n−1 is divisible by 7 for all n∈N The correct answer is (A) Both A and R are correct and R is the correct explanation of A (B) Both A and R are correct and R is not correct explanation of A (C) A is correct, but R is not correct (D) A is not correct, but R is correct
›Reveal solutionSolution
The assertion (A) is true because 52n−32n−1 is always odd minus odd = even. The reason (R) is false because 52n+32n−1 is not always divisible by 7 (e.g., fails for n=1). So the correct option is (C).
Concept and intuition:
Divisibility problems often look like they need induction or modular arithmetic, but sometimes a simple parity check or a single counterexample is enough. Here, Assertion (A) is about divisibility by 2 — that’s just about whether the expression is even or odd. Reason (R) claims divisibility by 7 for all natural numbers n; that’s a stronger claim that can be tested with small n. The trick is not to overcomplicate: check the simplest cases first.
-
Check Assertion (A):
We need to see if 52n−32n−1 is always even for n∈N.
- 52n=(52)n=25n, which is odd (odd number raised to any power stays odd).
- 32n−1 is odd (odd number to any power is odd).
- Odd minus odd = even. So the expression is always divisible by 2.
TipNo need for induction — just parity. An odd number minus an odd number is always even.
-
Check Reason (R):
We test 52n+32n−1 for divisibility by 7.
- For n=1: 52+31=25+3=28, which is divisible by 7. …
-
- TG EAPCET 2026Set eng-2026-05-10-AN1 markMCQQ.The number of 3-digit numbers that can be formed by using the digits 2, 3, 5, 7, 9 that are divisible by 3, if repetition of digits is not allowed, is (A) 30 (B) 12 (C) 18 (D) 24
›Reveal solutionSolution
A number is divisible by 3 if the sum of its digits is divisible by 3.
From the digits {2, 3, 5, 7, 9}, we must choose 3 distinct digits whose sum is a multiple of 3.
There are 4 such triples, each giving 3! = 6 permutations, so total = 4 × 6 = 24.
The correct option is (D).
The key concept: divisibility by 3
A number is divisible by 3 if and only if the sum of its digits is divisible by 3.
This is a classic rule that turns a problem about 3-digit numbers into a problem about choosing digit triples with a certain sum property.
Since repetition is not allowed, we are simply picking 3 distinct digits from the set {2, 3, 5, 7, 9} and arranging them.
Step-by-step reasoning
-
List the digits and their remainders modulo 3
- 2 → remainder 2
- 3 → remainder 0
- 5 → remainder 2
- 7 → remainder 1
- 9 → remainder 0
So we have:
- Remainder 0: {3, 9}
- Remainder 1: {7}
- Remainder 2: {2, 5}
-
When does a sum of three digits become divisible by 3?
The sum of three numbers is divisible by 3 exactly when the sum of their remainders (mod 3) is 0.
Possible remainder combinations (mod 3) that sum to 0:
- (0, 0, 0)
- (1, 1, 1)
- (2, 2, 2)
- (0, 1, 2)
-
Check which combinations are possible with our digits
- (0, 0, 0): We have only two digits with remainder 0 (3 and 9), so we cannot pick three. ✗
- (1, 1, 1): Only one digit with remainder 1 (7). ✗
- (2, 2, 2): We have two digits with remainder 2 (2 and 5), so cannot pick three. ✗
- (0, 1, 2): We have at least one of each remainder. ✓ This is the only viable pattern.
-
Find all triples of distinct digits with remainders (0, 1, 2)
- Choose one from remainder 0: {3, 9} → 2 choices
- Choose one from remainder 1: {7} → 1 choice
- Choose one from remainder 2: {2, 5} → 2 choices
Total triples = 2×1×2=4.
The triples are: …
-
- TG EAPCET 2026Set eng-2026-05-11-FN1 markMCQQ.If 2x5+ax4−12x3+bx2+cx+c=0 is a reciprocal equation of class one, then the sum of all the rational roots of this equation is (A) −21 (B) −27 (C) 21 (D) 27
›Reveal solutionSolution
A class-one reciprocal equation has palindromic coefficients, fixing it as 2x5+x4−12x3−12x2+x+2=0; its rational roots −1,−2,−21 sum to −27.
A reciprocal equation of class one has palindromic coefficients (coefficient of xk equals coefficient of x5−k). Matching the given x5-coefficient 2 and x3-coefficient −12 determines the equation as
2x5+x4−12x3−12x2+x+2=0.
This factorises as
(x+1)(x+2)(2x+1)(x2−3x+1)=0. …
- TG EAPCET 2026Set eng-2026-05-11-AN1 markMCQQ.The number of numbers between 345 and 543 such that the sum of the digits in each number is 15 is (A) 24 (B) 136 (C) 91 (D) 17
›Reveal solutionSolution
Counting three-digit numbers in (345,543) with digit sum 15 by hundreds digit gives 6+8+3=17.
We need integers N with 346≤N≤542 and digit sum =15.
Hundreds digit =3 (so N=3tu, need t+u=12, N≥346): the valid (t,u) are (4,8),(5,7),(6,6),(7,5),(8,4),(9,3) → 348,357,366,375,384,393. (339 is below 346.) 6 numbers. …
- TG EAPCET 2026Set eng-2026-05-11-AN1 markMCQQ.Let X be a discrete random variable. If P(X=r)=73ar, r=0,1,2,…,∞ and 0<a<1, then a.P(X=2)= (A) P(X=1) (B) 73P(X=2) (C) P(X=3) (D) 74P(X=1)
›Reveal solutionSolution
The key is to recognize that the given probabilities form a geometric series that must sum to 1, which forces a=74. Then compute a⋅P(X=2) and compare with the options; it equals P(X=3), so option (C) is correct.
We are told P(X=r)=73ar for r=0,1,2,… and 0<a<1. Since X is a discrete random variable, the sum of all probabilities must be 1. This is the central constraint that determines a.
- Sum the probabilities to 1
∑r=0∞P(X=r)=∑r=0∞73ar=73∑r=0∞ar=1.
The infinite geometric series ∑r=0∞ar converges to 1−a1 because 0<a<1. Thus:
73⋅1−a1=1.
- Solve for a Multiply both sides by 1−a:
73=1−a⇒a=1−73=74.
So a=74, which indeed lies between 0 and 1.
- Write the probability mass function explicitly
P(X=r)=73(74)r.
- Compute a⋅P(X=2)
a⋅P(X=2)=74⋅[73(74)2]=74⋅73⋅4916=733⋅64=343192.
- Compute each option to compare
- (A) P(X=1)=73⋅74=4912=34384 — not equal.
- (B) 73P(X=2)=73⋅73⋅4916=343144 — not equal. …
- TG EAPCET 2026Set ap-2026-05-04-AN1 markMCQQ.Identify the incorrect statements I. Capping = Addition of methyl guanosine triphosphate at 5′ end of hnRNA II. Tailing = Addition of adenylate residues at the 3′ end of hnRNA III. Splicing = Joining of introns and removal of exons IV. Ocho’s enzyme = Help in enzymatic synthesis of RNA (A) II and III only (B) I and II only (C) III only (D) III and IV only
›Reveal solutionSolution
This question tests your understanding of post-transcriptional modifications in eukaryotes and the role of Ochoa's enzyme. Statement III incorrectly describes splicing, making it the only incorrect statement. The final answer is (C).
Concept and Intuition
After transcription, the primary RNA transcript (heterogeneous nuclear RNA or hnRNA) in eukaryotes undergoes several modifications before it can be translated into protein. These modifications, collectively known as post-transcriptional processing, are crucial for the stability, transport, and proper function of mRNA. The three main processes are capping, tailing, and splicing. Additionally, enzymes play a vital role in synthesizing nucleic acids.
- Capping protects the 5' end of the mRNA and helps in ribosome binding.
- Tailing protects the 3' end from degradation and aids in mRNA export from the nucleus.
- Splicing removes non-coding regions (introns) and joins coding regions (exons) to form a mature mRNA.
- Ochoa's enzyme (polynucleotide phosphorylase) is known for its ability to synthesize RNA in vitro.
We need to evaluate each given statement against these established biological facts.
Step-by-step Evaluation
-
Evaluate Statement I: Capping = Addition of methyl guanosine triphosphate at 5′ end of hnRNA
- Capping is indeed the process where a 7-methylguanosine triphosphate residue is added to the 5′ end of the hnRNA molecule. This modification occurs early during transcription and is essential for protecting the mRNA from degradation and for its efficient translation.
- Therefore, Statement I is correct.
-
Evaluate Statement II: Tailing = Addition of adenylate residues at the 3′ end of hnRNA
- Tailing, specifically polyadenylation, involves the addition of approximately 200-300 adenylate residues (adenine ribonucleotides) to the 3′ end of the hnRNA. This poly-A tail enhances mRNA stability and facilitates its export from the nucleus.
- Therefore, Statement II is correct.
-
Evaluate Statement III: Splicing = Joining of introns and removal of exons
- Splicing is a critical process in eukaryotic gene expression where non-coding sequences called introns are removed from the hnRNA, and the coding sequences called exons are joined together to form a continuous coding sequence. The statement describes the opposite process: "Joining of introns and removal of exons."
- Therefore, Statement III is incorrect. …
- TG EAPCET 2026Set ap-2026-05-04-AN1 markMCQQ.From the following lists, choose the incorrect combination List-1 (Nutritional type) | List-2 (Source of carbon) | List-3 (Example) A. Photoautotroph | Atmospheric CO2 | Chlorobium B. Chemoautotroph | Inorganic compounds | Salmonella C. Photoheterotrophs | Organic source | Rhodospirillum D. Chemoheterotrophs | Organic compounds | Xanthomonas (A) A (B) B (C) C (D) D
›Reveal solutionSolution
Nutritional classification depends on energy source (photo/chemo) and carbon source (auto/hetero). Salmonella is a chemoheterotroph, not a chemoautotroph, making option (B) the incorrect combination.
Organisms are classified nutritionally along two axes: their energy source and their carbon source. Phototrophs harvest light energy; chemotrophs oxidize chemical compounds. Autotrophs fix inorganic carbon (usually CO2); heterotrophs consume organic carbon. The four combinations give us the major nutritional types.
Let's verify each pairing:
-
Photoautotroph – Atmospheric CO2 – Chlorobium
Photoautotrophs use light as energy and fix CO2 as their carbon source. Chlorobium is a green sulfur bacterium that performs anoxygenic photosynthesis, fixing CO2 via the reverse TCA cycle. This combination is correct.
-
Chemoautotroph – Inorganic compounds – Salmonella
Chemoautotrophs derive energy from oxidizing inorganic compounds (like ammonia, sulfur, or ferrous iron) and fix CO2 for carbon. Classic examples include Nitrosomonas (ammonia oxidizers) and Thiobacillus (sulfur oxidizers).
Salmonella, however, is a chemoheterotroph. It oxidizes organic compounds for energy and uses organic molecules as its carbon source. It's a pathogenic bacterium that lives in the guts of animals, feeding on organic nutrients. This is the mismatch.
-
Photoheterotroph – Organic source – Rhodospirillum …
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- TG EAPCET 2026Set ap-2026-05-04-AN1 markMCQQ.Match of the following List-1 A Inhibitor of catalytic activity B Possess peptide bonds C Fungi cell wall material D Secondary metabolite List-2 I Ricin II Chitin III Collagen IV Malonate (A) A-IV, B-III, C-I, D-II (B) A-IV, B-III, C-II, D-I (C) A-IV, B-II, C-III, D-I (D) A-IV, B-I, C-III, D-II
›Reveal solutionSolution
This question tests your knowledge of key biological molecules and their functions. We will match inhibitors, proteins, cell wall components, and secondary metabolites to their specific examples. The correct match is A-IV, B-III, C-II, D-I.
This question requires you to associate specific biological characteristics or roles (List-1) with the correct biomolecules or compounds (List-2). Understanding the fundamental nature and function of each item is key to making the correct connections.
-
Match A: Inhibitor of catalytic activity
- An inhibitor of catalytic activity is a substance that reduces or stops the rate of an enzyme-catalyzed reaction. Enzymes are biological catalysts, and their activity can be regulated by various molecules.
- Malonate (IV) is a classic example of a competitive inhibitor. It structurally resembles succinate, the substrate for the enzyme succinate dehydrogenase in the Krebs cycle. Malonate binds to the active site of succinate dehydrogenase, preventing succinate from binding and thus inhibiting the enzyme's catalytic activity.
- Therefore, A matches IV.
-
Match B: Possess peptide bonds
- Peptide bonds are covalent chemical bonds formed between the carboxyl group of one amino acid and the amino group of another amino acid. These bonds are the fundamental linkages that form polypeptide chains, which fold into proteins.
- Collagen (III) is the most abundant protein in mammals, forming a major component of connective tissues. As a protein, it is composed of amino acids linked by peptide bonds.
- Ricin (I) is also a protein, and thus also possesses peptide bonds. However, we need to find the best fit for each category. Let's keep this in mind as we proceed.
- Therefore, B matches III.
-
Match C: Fungi cell wall material
- Cell walls provide structural support and protection to cells. The composition of cell walls varies significantly across different kingdoms of life.
- Chitin (II) is a long-chain polymer of N-acetylglucosamine, a derivative of glucose. It is the primary structural component of the cell walls of fungi and also forms the exoskeletons of insects and crustaceans. …
-
- TG EAPCET 2026Set ap-2026-05-04-AN1 markMCQQ.Match the following: List-1 List-2 A. Rhamphotheca I. Mammals B. Precocial hatchings II. Beak of birds C. Absence of renal portal system III. Collumella auris D. Hyomandibula IV. Flight less birds V. Dentary The correct answer is (A) A – II, B – V, C – I, D – III (B) A – II, B – IV, C – I, D – III (C) A – V, B – IV, C – III, D – I (D) A – IV, B – III, C – II, D – I
›Reveal solutionSolution
This question tests your knowledge of specific anatomical and developmental features across different animal groups. We will match the horny beak covering (rhamphotheca) to birds, precocial development to flightless birds, the absence of a renal portal system to mammals, and the evolutionary fate of the hyomandibula to the columella auris. The correct option is (B).
The ability to correctly match anatomical structures, physiological systems, or developmental patterns to specific animal groups or their evolutionary derivatives is fundamental to understanding comparative anatomy and evolution. Each item in List-1 represents a distinct biological feature, and we need to identify its correct association from List-2. This requires recalling the defining characteristics of various vertebrate classes and their evolutionary adaptations.
Let's break down each item and find its match:
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A. Rhamphotheca
- The rhamphotheca refers to the horny sheath that covers the bony jaws of birds, forming what we commonly call the beak. This keratinous covering provides protection and shapes the beak for various functions like feeding, preening, and nest building.
- Looking at List-2, "II. Beak of birds" is the direct and correct match for rhamphotheca.
- Match: A - II
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B. Precocial hatchings
- Precocial hatchlings are young animals that are relatively mature and mobile from the moment of hatching or birth. They typically have open eyes, are covered in down or fur, and can often stand, walk, and feed themselves shortly after hatching/birth. This contrasts with altricial young, which are helpless and require extensive parental care.
- Many bird species exhibit precocial development. Among the options in List-2, "IV. Flightless birds" is a strong association. Many flightless birds, such as ostriches, emus, and kiwis (ratites), are known for their highly precocial young. These chicks can often run and forage with their parents almost immediately after hatching, which is crucial for survival in environments where parents might not be able to easily bring food to a nest.
- Match: B - IV
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C. Absence of renal portal system
- The renal portal system is a venous system found in many vertebrates (fish, amphibians, reptiles, and birds) that carries blood from the caudal (posterior) part of the body, including the hind limbs and tail, to the kidneys before it returns to the heart. This system allows the kidneys to filter blood from these regions directly. …
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- TG EAPCET 2026Set ap-2026-05-04-AN1 markMCQQ.Driving force of evolution (A) Disruptive selection (B) Stabilising selection (C) Directional selection (D) Natural selection
›Reveal solutionSolution
The driving force of evolution is natural selection, which acts on heritable variation to cause adaptive change — the correct option is (D).
The question asks for the "driving force" of evolution — the mechanism that actually pushes populations to change over generations. This is a classic concept from evolutionary biology, and the answer hinges on understanding what each type of selection does versus what powers the whole process.
Natural selection is the engine. It is the differential survival and reproduction of individuals due to differences in phenotype. Without it, variation alone (from mutation, recombination) would not lead to adaptation — it would just drift. The other options are specific modes of natural selection, not the driving force itself.
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Natural selection is the overarching mechanism. It acts on heritable variation in a population, causing traits that improve survival and reproduction to become more common over time. This is the core idea Darwin and Wallace proposed — it is the primary process that drives evolutionary change.
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Directional selection is a type of natural selection where one extreme phenotype is favoured, shifting the population mean in one direction. For example, larger beak size in finches during a drought. It is a pattern of selection, not the driving force itself. …
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