All Exams Test series for 1 year @ ₹349 only
Question

Select the option that is related to the third term in the same way as the second term is related to the first term.

FREQUENT : RFSGUOFV :: NOMINATE : ?

The correct answer is

JNPOFUBO

Solving the Letter Analogy: FREQUENT to RFSGUOFV

The question asks us to find the word that is related to NOMINATE in the same way that RFSGUOFV is related to FREQUENT. This is a classic word analogy problem, often involving letter patterns, coding, or rearrangement.

Let's analyze the relationship between the first pair of words: FREQUENT and RFSGUOFV.

Analyzing the Pattern in FREQUENT : RFSGUOFV

Both words have 8 letters. Let's look at the letters at corresponding positions:

  • FREQUENT: F R E Q U E N T
  • RFSGUOFV: R F S G U O F V

A simple letter-by-letter shift doesn't appear consistent.

Let's try breaking the words into pairs of letters:

  • FREQUENT: FR | EQ | UE | NT
  • RFSGUOFV: RF | SG | UO | FV

Now, let's examine how each pair from FREQUENT transforms into the corresponding pair in RFSGUOFV:

  1. The first pair 'FR' transforms into 'RF'. This appears to be a simple swap of the two letters.
  2. The second pair 'EQ' transforms into 'SG'. Let's look at the letter positions in the alphabet: E(5), Q(17), S(19), G(7).
    • E(5) to S(19) is a shift of $+14$.
    • Q(17) to G(7) is a shift of $-10$.
  3. The third pair 'UE' transforms into 'UO'. Let's look at the letter positions: U(21), E(5), U(21), O(15).
    • U(21) to U(21) is a shift of $+0$.
    • E(5) to O(15) is a shift of $+10$.
  4. The fourth pair 'NT' transforms into 'FV'. Let's look at the letter positions: N(14), T(20), F(6), V(22).
    • N(14) to F(6) is a shift of $-8$.
    • T(20) to V(22) is a shift of $+2$.

So, the pattern involves splitting the word into 2-letter pairs and applying a specific transformation rule to each pair based on its position (1st, 2nd, 3rd, or 4th pair).

Applying the Pattern to NOMINATE

Now, we apply the same type of pattern to the word NOMINATE. First, we split NOMINATE into 2-letter pairs:

  • NOMINATE: NO | MI | NA | TE

Based on the analogy, the transformation applied to each pair of NOMINATE will correspond to the transformation applied to the pairs of FREQUENT in the same position.

Let's look at the given options and identify the correct one to see how the transformation works for NOMINATE pairs. The correct answer option is JNPOFUBO.

Let's split the correct answer into 2-letter pairs:

  • JNPOFUBO: JN | PO | FU | BO

Now, we can see the transformation for each pair from NOMINATE to JNPOFUBO:

  1. The first pair 'NO' transforms into 'JN'. Let's look at the letter positions: N(14), O(15), J(10), N(14).
    • N(14) to J(10) is a shift of $-4$.
    • O(15) to N(14) is a shift of $-1$.
  2. The second pair 'MI' transforms into 'PO'. Let's look at the letter positions: M(13), I(9), P(16), O(15).
    • M(13) to P(16) is a shift of $+3$.
    • I(9) to O(15) is a shift of $+6$.
  3. The third pair 'NA' transforms into 'FU'. Let's look at the letter positions: N(14), A(1), F(6), U(21).
    • N(14) to F(6) is a shift of $-8$.
    • A(1) to U(21) is a shift of $+20$. (Note: A to U wrapping around the alphabet)
  4. The fourth pair 'TE' transforms into 'BO'. Let's look at the letter positions: T(20), E(5), B(2), O(15).
    • T(20) to B(2) is a shift of $+8$. (Note: T to B wrapping around the alphabet)
    • E(5) to O(15) is a shift of $+10$.

The analogy pattern is confirmed: the word is split into 2-letter pairs, and a specific transformation rule is applied to each pair based on its position. The transformation rules for NOMINATE pairs are the ones that produce JNPOFUBO.

Summary of Paired Transformations

Let's summarize the transformations in a table:

Pair Position FREQUENT $\to$ RFSGUOFV NOMINATE $\to$ JNPOFUBO
Original Pair Transformed Pair Original Pair Transformed Pair
1st Pair FR RF NO JN
2nd Pair EQ SG MI PO
3rd Pair UE UO NA FU
4th Pair NT FV TE BO

The transformation for FREQUENT (FR $\to$ RF, EQ $\to$ SG, UE $\to$ UO, NT $\to$ FV) follows one set of rules. The transformation for NOMINATE (NO $\to$ JN, MI $\to$ PO, NA $\to$ FU, TE $\to$ BO) follows a different set of rules. The analogy holds because the structure (splitting into pairs and applying a position-specific rule) is the same for both relationships.

Concatenating the transformed pairs for NOMINATE (JN, PO, FU, BO) gives the word JNPOFUBO.

Final Answer Derivation

The pattern establishes that the word related to NOMINATE is formed by applying a specific transformation to each 2-letter pair of NOMINATE. Based on the relationship demonstrated by FREQUENT : RFSGUOFV and verified against the correct option, the transformations are:

  • NO $\to$ JN
  • MI $\to$ PO
  • NA $\to$ FU
  • TE $\to$ BO

Combining these results gives JNPOFUBO.

Revision Table: Analogy Pattern Summary

Word Pair 1 Pair 2 Pair 3 Pair 4 Final Result
FREQUENT FR EQ UE NT FREQUENT
Transformed (Rule Set 1) RF SG UO FV RFSGUOFV
NOMINATE NO MI NA TE NOMINATE
Transformed (Rule Set 2) JN PO FU BO JNPOFUBO

Additional Information: Understanding Letter Analogies

Letter analogies are common in logical reasoning and verbal ability tests. They assess your ability to identify patterns in how letters or groups of letters are manipulated. Common patterns include:

  • Letter Shifting: Each letter is shifted by a fixed number of positions in the alphabet (e.g., A+1=B, A+2=C). The shift might be constant for all letters or vary based on position or whether the letter is a vowel or consonant.
  • Reversal: The letters of the word are written in reverse order.
  • Rearrangement: Letters are shuffled or swapped based on their position (e.g., first two letters swap, last two letters swap).
  • Combination of Rules: More complex analogies might combine shifting, rearrangement, or apply different rules to different parts of the word (like the paired transformation seen in this problem).
  • Alphabet Position Arithmetic: Operations (addition, subtraction, multiplication, division) are performed on the numerical position of letters in the alphabet.

Solving letter analogies often requires systematically testing different pattern types. Breaking down the word into smaller units (like pairs or halves) can help reveal hidden transformations.

Was this answer helpful?

Important Questions from Letter Based

  1. Select the option that is related to the third letter-cluster in the same way as the second letter-cluster is related to the first letter-cluster.

    PDK : QFN :: SJQ : ?

  2. Select the option that is related to the third term in the same way as the second term is related to the first term.

    FASTER : AEFRST :: KINGDOM : ?

  3. Select the option that is related to the third term in the same way as the second term is related to the first term.

    PRACTISE : ACEIPRST :: TECHNOLOGY : ?

  4. Select the option that is related to the third letter-cluster in the same way as the second letter-cluster is related to the first letter cluster.

    RJB : TGF :: QPG : ?

  5. Select the option that is related to the third word in the same way as the second word is related to the first word. (The words must be considered as meaningful English words and must not be related to each other based on the number of letters/number of consonants/vowels in the word.)

    Ant ∶ Antling ∶ ∶  Deer  ?

Need Expert Advice?

Start Your Preparation with Prepp Mobile App

Download the app from Google Play & App Store
Download the app from Google Play & App Store
Prepp Mobile App