Counting-based probability
This chapter systematically develops the principles of probability using combinatorial methods, essential for solving complex probability problems. Mastery of permutations, combinations, selections, arrangements, and grid-based path counting is critical for the CMI exam, as these topics frequently appear in advanced probability contexts.
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Chapter Contents
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| Topic |
|---|-------| | 1 | Probability using permutations | | 2 | Probability using combinations | | 3 | Probability on selections and arrangements | | 4 | Probability on grids and paths |---
We begin with Probability using permutations.
Part 1: Probability using permutations
Probability Using Permutations
Overview
When a probability problem involves arrangements, rankings, seatings, or ordered selections, permutations are the natural counting tool. The key principle is simple: if all arrangements are equally likely, then probability is the number of favorable permutations divided by the total number of permutations. In exam-level questions, the real challenge is usually to translate the event into a permutation count correctly. ---Learning Objectives
After studying this topic, you will be able to:
- Use permutations to count ordered outcomes.
- Compute probabilities of arrangement-based events.
- Handle positions, precedence, adjacency, and divisibility conditions in permutation problems.
- Distinguish between full permutations and restricted permutations.
- Avoid mixing permutations with combinations when order matters.
Core Idea
A permutation is an arrangement in order.
For distinct objects, the total number of permutations is
Probability from Permutations
If all arrangements are equally likely, then
Position-Based Events
If a certain object must occupy a specified position, fix it first and then permute the remaining objects.
Example:
If must be first among distinct objects, the number of favorable permutations is
Relative Order Events
Among all permutations of distinct objects, all relative orders of a chosen set of objects are equally likely.
Example:
For distinct objects ,
the probability that appears before is
Adjacency Method
If two objects must be adjacent, combine them into a block first.
Example:
Among distinct objects, the number of permutations in which and are adjacent is
because:
- the block or gives the factor
- together with the other objects, there are units to arrange
Using Permutations with Digits
When forming numbers from distinct digits:
- total count is often a permutation count
- divisibility conditions may restrict the last digit or last two digits
- size conditions may restrict the first digit
Minimal Worked Examples
Example 1 A random permutation of is chosen. What is the probability that appears before ? By symmetry, exactly half of all permutations have before . So the probability is --- Example 2 A -digit number is formed using without repetition. Find the probability that the first digit is . Total arrangements: Favorable arrangements: fix first, then arrange the remaining digits: So the probability is ---Common Patterns
- probability that one object comes before another
- probability that certain objects are adjacent
- probability that a number formed from digits has a divisibility property
- probability that a specified position is occupied by a specified object
- probability under a restricted permutation model
Common Mistakes
- β using combinations when order matters
- β forgetting that all permutations must be equally likely
- β not accounting for internal order inside a block
- β counting digit arrangements without checking leading-digit restrictions
- β forgetting divisibility rules when the problem is about numbers
CMI Strategy
- Write the total number of equally likely arrangements first.
- Translate the event into a clean permutation restriction.
- Use symmetry whenever the event is about relative order.
- Use block method for adjacency.
- In digit problems, separate first-digit and last-digit conditions clearly.
Practice Questions
:::question type="MCQ" question="A random permutation of is chosen. The probability that appears before is" options=["","","",""] answer="C" hint="Use symmetry of relative order." solution="By symmetry, among all permutations, exactly half have before and half have before . So the probability is . Hence the correct option is ." ::: :::question type="NAT" question="How many -digit numbers can be formed using the digits without repetition?" answer="24" hint="Use permutations of distinct digits." solution="All digits are distinct and are all used. So the number of -digit numbers formed is Therefore the answer is ." ::: :::question type="MSQ" question="Which of the following statements are true?" options=["For distinct objects, the total number of permutations is ","If order matters, combinations alone are not enough","When two specified objects must be adjacent, block method is useful","In a random permutation of distinct objects, every relative order of a chosen set is equally likely"] answer="A,B,C,D" hint="Recall the basic principles of arrangement counting." solution="1. True. This is the definition of the total number of permutations.Summary
- Permutation-based probability is favorable arrangements over total arrangements.
- Order matters throughout the topic.
- Symmetry gives fast results for relative-order events.
- Block method is the standard adjacency tool.
- In digit problems, arrangement counting and number-theoretic conditions must be combined carefully.
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Proceeding to Probability using combinations.
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Part 2: Probability using combinations
Probability Using Combinations
Overview
Many elementary probability problems are really counting problems in disguise. When all outcomes are equally likely, probability is found by counting: In CMI-style entrance questions, this topic is usually tested through cards, dice, committee selection, digit arrangements, and multi-stage experiments where the real challenge is not probability formulas but correct counting. The PYQ for this topic is a very good example: the probability is found by carefully counting what must happen in each round. ---Learning Objectives
After studying this topic, you will be able to:
- compute probabilities in equally likely sample spaces using counting,
- decide when combinations should be used instead of permutations,
- count favorable outcomes in card, dice, and selection problems,
- use complements to simplify probability calculations,
- handle multi-stage probability questions by structured case counting.
Core Principle
If all outcomes in a finite sample space are equally likely, then for any event ,
where:
- is the total number of possible outcomes,
- is the number of favorable outcomes.
Combinations
The number of ways to choose objects from distinct objects is
- choosing a committee,
- selecting cards,
- deciding which positions contain a special symbol.
Permutations Versus Combinations
- Use permutations when order matters.
- Use combinations when order does not matter.
Standard Probability via Combinations
If objects are available and are chosen uniformly at random, then
If an event requires choosing exactly objects from a special group of size , and the remaining from the rest of size , then
Complement Method
Sometimes it is easier to compute the complement:
- "at least one",
- "not all distinct",
- "at least one success",
- "not this specific bad case".
Standard Dice and Card Counting
In exam questions, combinations-based probability often appears through:
- choosing cards from a deck,
- selecting balls from a box,
- choosing committees,
- counting digit selections,
- dice problems where certain outcomes are grouped by how many sixes, equal numbers, or specific values appear.
- which dice show a special value,
- how many positions are chosen,
- how many outcomes belong to that pattern.
Multi-Stage Counting
The PYQ in this topic is a multi-round dice process. Such problems are usually handled by:If event means:
- condition happens in round ,
- then condition happens in round ,
then often
Minimal Worked Examples
Example 1 A card is drawn uniformly from a standard deck of cards. What is the probability that it is a heart? There are hearts and total cards, so --- Example 2 Two cards are chosen uniformly from a standard deck of cards. What is the probability that both are aces? Total ways: Favorable ways: So --- Example 3 A committee of is chosen from men and women. What is the probability that exactly women are chosen? Total ways: Favorable ways: So ---Common Counting Patterns
- exactly successes:
- at least one special object:
use complement
- all chosen objects from different groups:
choose one from each relevant group
- repeated-stage dice or coin process:
break by stage and multiply conditional probabilities
Common Mistakes
- β using permutations where combinations are needed,
- β forgetting to count total outcomes correctly,
- β missing complement shortcuts,
- β double-counting overlapping cases,
- β mixing unordered selection with ordered dice outcomes without justification,
CMI Strategy
- First identify the sample space clearly.
- Decide whether outcomes are ordered or unordered.
- Use combinations if selection is order-free.
- Use complement if the direct count is messy.
- In multi-round questions, describe exactly what each round must do.
- Only simplify after the counting structure is correct.
Practice Questions
:::question type="MCQ" question="A committee of is chosen uniformly from people. The total number of possible committees is" options=["","","",""] answer="C" hint="Order does not matter in committee selection." solution="A committee is an unordered selection, so the number of ways is Hence the correct option is ." ::: :::question type="NAT" question="Two cards are chosen uniformly from a standard deck of cards. Find the probability that both are kings in the form with , and write only ." answer="1" hint="Use combinations for total and favorable outcomes." solution="There are total ways to choose cards, and ways to choose kings. So Thus ." ::: :::question type="MSQ" question="Which of the following are valid strategies in counting-based probability?" options=["Using when order does not matter","Using complement for 'at least one' events","Counting only favorable outcomes and ignoring the total count","Breaking a multi-stage experiment into conditional steps"] answer="A,B,D" hint="Probability needs both counting structure and sample space." solution="1. True. Combinations are used when order does not matter.- women from ,
- men from
Summary
- In equally likely settings, probability is favorable count divided by total count.
- Use combinations when order does not matter.
- The form is central in selection probability.
- Complement is often the cleanest method for 'at least one' events.
- Multi-stage probability problems must be described round by round.
- Good probability counting is more about structure than formula memorization.
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Proceeding to Probability on selections and arrangements.
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Part 3: Probability on selections and arrangements
Probability on Selections and Arrangements
Overview
This topic is about computing probability by counting outcomes correctly. The underlying model is simple: when all outcomes are equally likely, probability is But in exam problems, the difficulty is rarely this formula itself. The real difficulty is deciding:Learning Objectives
After studying this topic, you will be able to:
- Compute probability in equally likely finite sample spaces.
- Distinguish between selections and arrangements.
- Count subsets using combinations and ordered outcomes using permutations.
- Translate induced-set questions into clean algebraic conditions.
- Use symmetry, complement, and case-splitting to simplify counting.
Core Probability Principle
If every outcome in a finite sample space is equally likely, then
where:
- is the sample space,
- is the event,
- means the number of elements.
Selection vs Arrangement
In any counting-based probability problem, first ask:
- If order does not matter, use combinations.
- If order does matter, use arrangements or permutations.
- Number of ways to choose objects from distinct objects:
- Number of ordered arrangements of objects from distinct objects:
- Number of permutations of distinct objects:
Induced Subsets from a Random Choice
Let
Choose uniformly from .
Define:
Then:
Also, for a fixed element :
Product and Size Conditions
If the condition involves
then in this setup it becomes
So the event becomes an inequality in one variable.
For example,
This is usually solved by rewriting as a quadratic inequality.
Membership + Size Conditions
Suppose the event says:
- a fixed number belongs to and
Then we need both:
and
So either:
- the event happens for exactly one value of , or
- it never happens.
Similarly, if the event says:
then we need:
and
Arrangement-Based Probability
If a random arrangement of distinct objects is chosen uniformly, then
or more generally by dividing by when only positions are filled.
- one object appears before another
- two specified objects are adjacent
- the first or last position satisfies a condition
- parity or divisibility conditions in digit arrangements
Symmetry Tricks
Some arrangement probabilities do not need long counting.
Examples:
- In a random arrangement of distinct objects, the probability that comes before is
- The probability that appear in the relative order is
because all relative orders are equally likely.
Minimal Worked Examples
Example 1 Let Choose uniformly from . Find the probability that We have So we want This gives The roots are So the inequality holds for Thus There are valid choices out of . So the probability is --- Example 2 Choose a random permutation of . Find the probability that appears before and appears before . Among the numbers , all relative orders are equally likely. Only one of them is So the probability is --- Example 3 Choose two numbers uniformly from without replacement. Find the probability that their sum is even. A sum is even iff both numbers have the same parity. There are even numbers and odd numbers. Favourable choices: Total choices: So the probability is ::: ---Complement Method
Sometimes it is easier to count the complement event.
If
is easier to count, then
- βat least oneβ conditions
- divisibility conditions
- adjacency restrictions
- product divisible by a number
Common Mistakes
- β Using permutations when order does not matter
- β Using combinations when order matters
- β Forgetting that and in PYQ-type setups
- β Counting favourable outcomes correctly but dividing by the wrong total
- β Ignoring symmetry when it gives a much faster solution
CMI Strategy
- Write the sample space first.
- Decide whether outcomes are selections or arrangements.
- Translate the event into arithmetic, parity, or size conditions.
- Count favourable cases cleanly.
- Use symmetry or complement if direct counting looks messy.
Practice Questions
:::question type="MCQ" question="If two numbers are chosen uniformly from without replacement, the correct total number of outcomes is" options=["","","",""] answer="B" hint="The problem asks for an unordered selection." solution="Since the two numbers are chosen without replacement and the order is not specified, the correct total is Hence the correct option is ." ::: :::question type="NAT" question="A random permutation of is chosen. What is the probability that appears before ?" answer="1/2" hint="Use symmetry." solution="In a random arrangement, the relative orders of and are equally likely. So the probability that appears before is Hence the answer is ." ::: :::question type="MSQ" question="Which of the following are true?" options=["If all outcomes are equally likely, probability equals favourable count divided by total count","In a random arrangement of distinct objects, the probability that comes before is ","If order does not matter, combinations are usually the correct counting tool","If two sets have the same size, then every event has probability "] answer="A,B,C" hint="Check each statement against the basic counting model." solution="1. True.Summary
- Counting-based probability reduces probability to correct counting.
- The most important question is whether order matters.
- In PYQ-type split-set problems, and .
- Arrangement problems often simplify by symmetry.
- Good probability work is mostly good counting with careful interpretation.
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Proceeding to Probability on grids and paths.
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Part 4: Probability on grids and paths
Probability on Grids and Paths
Overview
Grid-path probability problems combine counting and probability in a very clean way. A path is chosen uniformly from all allowed paths, and the probability of an event is found by counting favorable paths and dividing by total paths. In CMI-style questions, the real difficulty is usually not the probability formula, but the correct combinatorial model. ---Learning Objectives
After studying this topic, you will be able to:
- Count monotone grid paths using binomial coefficients.
- Compute probabilities of path events by favorable-over-total counting.
- Count paths through checkpoints and through exactly one or at least one of several points.
- Detect impossible checkpoint conditions quickly.
- Use symmetry and decomposition to simplify path probabilities.
Core Model
A monotone path from to is a path that moves only:
- one unit right:
- one unit up:
So every path is just an arrangement of right moves and up moves.
Total Number of Paths
The number of monotone paths from to is
because we choose where the right moves occur among the total steps.
Probability Formula
If each monotone path from to is equally likely, then
Through a Checkpoint
If a path from to must pass through , then
provided and .
Through Two Checkpoints
If the path must pass through and in that order, then
counts the favorable paths.
A monotone path can go through both checkpoints only if the coordinates can be visited in nondecreasing order.
If one checkpoint has larger but smaller than the other, then no monotone path can pass through both.
Exactly One / At Least One
If and are path events, then
Also,
Symmetry
For paths from to :
- swapping and gives a natural symmetry
- points like and often have the same path count structure
Symmetry can shorten calculations.
Minimal Worked Examples
Example 1 Find the probability that a random monotone path from to passes through . Total number of paths: Paths through : From to : From to : So favorable paths: Hence the probability is --- Example 2 Can a monotone path from to pass through both and ? No. From to the -coordinate would decrease, which is impossible. From to the -coordinate would decrease, which is also impossible. So the number of such paths is . ---Common Patterns
- total number of monotone paths
- probability of passing through a given point
- probability of passing through both / exactly one of two points
- impossible checkpoint order
- probabilities on square grids with symmetry
Common Mistakes
- β forgetting that probability needs a uniform sample space of paths
- β counting through checkpoints without checking whether the order is possible
- β adding segment counts instead of multiplying them
- β mixing up total number of moves with number of paths
- β forgetting inclusion-exclusion in βat least oneβ problems
CMI Strategy
- Write the total path count first.
- For each event, break the path into independent segments.
- Multiply segment counts.
- Use inclusion-exclusion when events overlap.
- Before everything, check whether the checkpoint condition is even possible.
Practice Questions
:::question type="MCQ" question="The number of monotone paths from to is" options=["","","",""] answer="C" hint="Count arrangements of right moves and up moves." solution="A path from to uses right moves and up moves, so the total number of paths is . Hence the correct option is ." ::: :::question type="NAT" question="Find the probability that a random monotone path from to passes through ." answer="2/5" hint="Count favorable paths through the checkpoint." solution="Total number of paths from to is . Paths from to : Paths from to : So favorable paths: Hence the probability is . Therefore the answer is ." ::: :::question type="MSQ" question="Which of the following statements are true?" options=["The number of monotone paths from to is ","If a path must pass through two ordered checkpoints, the segment counts multiply","If two checkpoints are incomparable, no monotone path can pass through both","For path events, inclusion-exclusion can be useful"] answer="A,B,C,D" hint="Think about paths as ordered strings of and ." solution="1. True. This is the standard binomial counting formula.Summary
- Grid-path probability is counting in disguise.
- The total path count is a binomial coefficient.
- Checkpoint events are handled by segment multiplication.
- Impossible orders must be detected before counting.
- Inclusion-exclusion is essential for βat least oneβ and βexactly oneβ path events.
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Chapter Summary
Probability calculation often reduces to accurately counting favorable and total possible outcomes.
The Fundamental Principle of Counting (multiplication and addition rules) is foundational for enumerating complex events.
Permutations () quantify ordered arrangements, while combinations () quantify unordered selections.
Distinguish between permutations of distinct items and permutations involving indistinguishable items (e.g., letters in a word with repetitions).
Combinations are vital for problems involving selections, committee formations, and scenarios where the order of selection does not matter.
Many grid and path problems can be solved using combinations, particularly shortest path calculations (e.g., for an grid).
* The principle of complementary counting (1 - probability of complement event) often simplifies problems involving "at least" or "not more than" conditions.
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Chapter Review Questions
:::question type="MCQ" question="A committee of 4 is to be formed from a group of 7 men and 5 women. What is the probability that the committee consists of exactly 2 men and 2 women?" options=["","","",""] answer="" hint="Calculate the total number of ways to form a committee of 4 from 12 people. Then calculate the number of ways to select 2 men from 7 and 2 women from 5. The probability is the ratio of these two values." solution="Total number of ways to form a committee of 4 from 12 people is .
Number of ways to select 2 men from 7 is .
Number of ways to select 2 women from 5 is .
Number of ways to form a committee with exactly 2 men and 2 women is .
The probability is .
Dividing numerator and denominator by 15: .
Wait, my options are wrong or my calculation is wrong.
Let's recheck.
. Correct.
. Correct.
. Correct.
Favorable = . Correct.
Probability = .
can be simplified by dividing by 5: .
Then by 3: .
Let's check the options:
A)
B)
C)
D)
My calculated answer is not in the options. Let's re-evaluate the options provided in the prompt.
The prompt asks to use my options. I must have made a mistake when setting up the initial options.
Let's make sure the provided options are suitable, or I'll create new ones.
If I use , then I need to ensure it's one of the options.
Let's use the provided options template and create options that fit .
Options should be , , , .
I will make an option.
Corrected options: ["","","",""]
Answer: ""
"
:::
:::question type="NAT" question="A robot starts at the origin (0,0) and needs to reach the point (6,4) by taking only unit steps right (R) or up (U). How many distinct paths are there?" answer="210" hint="This is a classic combinatorial problem. The robot must take 6 steps right and 4 steps up. The total number of steps is . The problem reduces to finding the number of ways to arrange 6 'R's and 4 'U's." solution="To reach (6,4) from (0,0), the robot must take 6 steps to the right and 4 steps up. The total number of steps is . The number of distinct paths is the number of ways to choose which 6 of these 10 steps are 'right' steps (or which 4 are 'up' steps).
This can be calculated using combinations:
.
Alternatively, using permutations with repetition: .
"
:::
:::question type="MCQ" question="What is the probability that a randomly chosen arrangement of the letters in the word 'MATHEMATICS' has all three 'A's together?" options=["","","",""] answer="" hint="First, treat the three 'A's as a single block. Calculate the number of arrangements for this new set of 'letters'. Then, calculate the total number of distinct arrangements of 'MATHEMATICS'. The probability is the ratio of these two values." solution="The word 'MATHEMATICS' has 11 letters: M(2), A(2), T(2), H(1), E(1), I(1), C(1), S(1). (My count in the prompt was wrong, it must be 'A's, not 'A's (plural) and I missed one 'A' in my initial thought process. Let's re-read the prompt for the word 'MATHEMATICS'. It has 1 M, 2 A, 1 T, 1 H, 1 E, 1 M, 1 A, 1 T, 1 I, 1 C, 1 S.
Let's list them: M, A, T, H, E, M, A, T, I, C, S.
Count: M: 2, A: 2, T: 2, H: 1, E: 1, I: 1, C: 1, S: 1. Total 11 letters.
The question states 'all three 'A's together'. This implies there are three 'A's. The word 'MATHEMATICS' only has two 'A's.
This means I need to adjust the question or the word.
Let's use a word that does have three 'A's.
Example: 'BANANA' has 3 A's. 'ASSASSINATION' has 4 A's. 'MISSISSIPPI' has 4 I's.
Let's use a hypothetical word for the question, or change 'MATHEMATICS' to something like 'AAABBC'.
Or, I can modify the question to be about the two 'A's.
If the question is about 'MATHEMATICS' and 'all two A's together':
Total letters: 11. M:2, A:2, T:2, H:1, E:1, I:1, C:1, S:1.
Total distinct arrangements: .
Favorable arrangements (2 'A's together): Treat 'AA' as a single block.
Now we arrange 10 items: M, (AA), T, H, E, M, T, I, C, S.
Letters: (AA):1, M:2, T:2, H:1, E:1, I:1, C:1, S:1.
Number of arrangements with 'AA' together: .
Probability: .
This is not in the options and implies I should stick to the original intent of the user's question, which likely implied a word with 3 A's or a different interpretation.
The phrase "all three 'A's together" strongly suggests that the word should have three 'A's.
Let's assume the question meant a hypothetical word with letters M, A(3), T(2), H, E, I, C, S (total 12 letters).
Let's construct a hypothetical word 'MAATHEMATICS' (which doesn't exist, but has 3 A's).
Or, better, let's use a word like 'ASSASSINATION'.
'ASSASSINATION' has 13 letters. A:4, S:4, I:2, N:2, T:1, O:1.
If the question intended 'all 'A's together', for 'MATHEMATICS' it means 'all two A's together'.
The prompt states: "all three 'A's together". This is a contradiction if the word is 'MATHEMATICS'.
I will assume the question intended to use a word that has three 'A's.
Let's assume the question meant 'What is the probability that a randomly chosen arrangement of the letters in the word 'AAABBC' has all three 'A's together?' No, this is too simple.
Let's assume the user made a slight error in the word choice for the question, and the question is meant to be solvable for 'all three 'A's'.
I will change the word to one that has three A's.
Example: 'ALABAMA' has 4 A's. 'BANANA' has 3 A's.
Let's use 'BANANA'.
Word: BANANA. Letters: B(1), A(3), N(2). Total 6 letters.
Total distinct arrangements of BANANA: .
Favorable arrangements: Treat 'AAA' as a single block. Now we arrange (AAA), B, N, N. (4 items).
Letters: (AAA):1, B:1, N:2.
Number of arrangements with 'AAA' together: .
Probability: .
This is also not in the options.
This implies the options are based on a specific problem with 'MATHEMATICS' and 'three A's'.
Let's re-read the prompt's instructions: "Create a BRIEF chapter conclusion". "Create: ... Chapter Review Questions".
It's my responsibility to create the questions and options.
So, I must fix the question to be consistent with the options.
The option is a small number, suggestive of a larger denominator.
Let's re-examine 'MATHEMATICS'.
M:2, A:2, T:2, H:1, E:1, I:1, C:1, S:1. Total 11 letters.
Total arrangements: .
What if the question meant 'all A's together' for 'MATHEMATICS' (which has 2 A's)?
Probability = . Not in options.
What if the question is about 'MATHEMATICS' but implies a different number of A's?
The options seem to be derived from a standard problem.
Let's assume the question intends 'MATHEMATICS' but there's a typo in the word itself, and it should have 3 A's for the options to be valid.
Let the word be 'MAATHEMATICS' (hypothetical, 12 letters).
M:2, A:3, T:2, H:1, E:1, I:1, C:1, S:1. Total 12 letters.
Total arrangements: .
Favorable arrangements (3 'A's together): Treat 'AAA' as a single block.
Now we arrange 10 items: M, (AAA), T, H, E, M, T, I, C, S.
Letters: (AAA):1, M:2, T:2, H:1, E:1, I:1, C:1, S:1. Total 10 items.
Number of arrangements with 'AAA' together: .
Probability = .
This is still not .
The options suggest a denominator that is a multiple of 110.
Let's re-check the standard "all vowels together" or "all specific letters together" for MATHEMATICS.
Word: MATHEMATICS (11 letters). M:2, A:2, T:2, H:1, E:1, I:1, C:1, S:1.
Total arrangements: .
What if the question meant 'all vowels together'?
Vowels: A, E, I, A. So A(2), E(1), I(1). Total 4 vowels.
Treat (AAEI) as a block.
Arrangements of vowels within the block: .
Now arrange (AAEI), M, T, H, M, T, C, S (8 items).
Letters: (AAEI):1, M:2, T:2, H:1, C:1, S:1. Total 8 items.
Arrangements of these 8 items: .
Total favorable arrangements: .
Probability: (not a nice fraction).
Let's assume the question is a standard one, and the 'MATHEMATICS' word is correct, but the 'three 'A's' part is a typo and should be 'two A's'.
If "all two 'A's together": Probability is . Not in options.
What if the question refers to a different word that does result in ?
Let the word be 'ENGINEERING'.
E:3, N:3, G:2, I:2, R:1. Total 11 letters.
Total arrangements: .
If "all three 'E's together":
Treat (EEE) as a block.
Now arrange (EEE), N, N, N, G, G, I, I, R. (9 items).
Letters: (EEE):1, N:3, G:2, I:2, R:1.
Arrangements: .
Probability: (not ).
This is problematic. The options are very specific.
Let's try to reverse engineer the problem from the option.
If .
The denominator of is .
Consider a word with letters.
Total permutations with repetitions: .
Favorable permutations (grouping identical letters): (if items are grouped).
Let's assume the word is actually 'ASSASSINATION'.
A:4, S:4, I:2, N:2, T:1, O:1. Total 13 letters.
Total arrangements: .
If "all four 'A's together":
Treat (AAAA) as a block.
Arrange (AAAA), S, S, S, S, I, I, N, N, T, O (10 items).
Letters: (AAAA):1, S:4, I:2, N:2, T:1, O:1.
Arrangements: .
Probability: (not ).
It seems I need to create a question that leads to .
Let's use a word with 11 letters, and 3 A's, and some other repetitions.
If the total number of items is 11, and 3 A's are grouped.
Total =
Favorable =
Probability = .
This is for a word with no other repetitions apart from the 3 A's (which are grouped).
Example: 'AAABCDEFGHI' (10 letters, 3 A's).
Total: . Favorable: . Probability: .
Let's assume the word is 'ASSASSINATE' (11 letters).
A:3, S:4, I:1, N:1, T:1, E:1.
Total arrangements: .
Favorable (3 'A's together): Treat 'AAA' as a block.
Arrange (AAA), S, S, S, S, I, N, T, E (9 items).
Letters: (AAA):1, S:4, I:1, N:1, T:1, E:1.
Arrangements: .
Probability:
This is harder than expected. I need to make sure the options are correct for the question I am writing.
I will create a word and question that leads to .
Let the word be 'PROBABILITY'.
P:1, R:1, O:1, B:2, A:1, L:1, I:2, T:1, Y:1. Total 11 letters.
Total arrangements: .
What if the question is "all 'B's together"?
Treat 'BB' as one block. (PROBABILITY has two B's).
Arrange (BB), P, R, O, A, L, I, I, T, Y (10 items).
Letters: (BB):1, P:1, R:1, O:1, A:1, L:1, I:2, T:1, Y:1.
Arrangements: .
Probability: (not ).
Let's simplify the problem.
If a word has letters, with identical letters of a type (say 'X'), and we want all 'X's together.
Total arrangements: .
Favorable arrangements: .
Probability: .
This simplifies to . This is if letters are distinct and chosen, but here they are identical.
This is is not correct.
It is
No, it is if there are no other repetitions.
The probability of specific items (if distinct) being together in a line of items is .
If the items are identical, then the probability is . This is the same formula.
So, if (three 'A's) and (total letters for 'MATHEMATICS' if it had 3 'A's), and no other repetitions:
.
This is it! The question expects me to use the formula where .
Or more simply, the probability that a specific set of positions are occupied by the identical letters is . No, this is for specific positions.
Let's re-evaluate the probability for identical items to be together.
Consider identical items and other items (all distinct). Total items.
Total arrangements: .
Treat identical items as a block: .
Probability: .
So for and (three 'A's), and assuming all other letters are distinct:
Probability = .
This is still not .
The formula is indeed .
Let's try , . .
. So .
This formula is for the case where all other letters are distinct.
So, the question is implicitly assuming a word with 11 letters, three of which are 'A's, and the other 8 are distinct.
Example: 'AAABCDEFGHIJ'. (11 letters: 3 A's, 8 distinct others).
Total arrangements: .
Favorable (AAA together): Treat 'AAA' as a block. Arrange 9 distinct items: .
Probability: .
This is a common point of confusion. The formula is for specific distinct items being together.
Let's re-derive for identical items.
Assume identical 'A's and distinct other letters.
Total arrangements: .
Favorable arrangements: Treat 'AAA' as one block. We are arranging items, all distinct. So .
Probability: . This is the formula I derived.
So for , and 8 distinct other letters, the probability is .
Now, let's consider the scenario where the denominator is .
This implies .
This means .
What if the problem is simpler, e.g., choosing 3 consecutive positions out of 11?
There are ways to choose consecutive positions. ().
Total ways to choose 3 positions out of 11 is .
If the question meant: "If 3 letters are chosen randomly from 11 distinct positions, what is the probability that they are consecutive?" (11 positions, choose 3).
Ways to choose 3 positions: .
Ways to choose 3 consecutive positions: 9 (123, 234, ..., 91011).
Probability: . Still .
Let's reconsider the original interpretation of "all three A's together" for 'MATHEMATICS'.
It must be that the question implies a word that has 3 A's, and the other letters have some repetitions, which when factored out, leads to .
Let , for 'A's.
.
This fraction would be 1 if the other repetitions are the same.
So . This implies .
What if the word is 'ASSASSINATION' (13 letters, A:4, S:4, I:2, N:2, T:1, O:1)?
No, the options strongly suggest a denominator of 165 or a multiple.
Let's assume the question is: "What is the probability that a random arrangement of the letters in a word with 11 distinct letters, where 3 of them are 'A's, has all three 'A's together?"
This means the word has letters, 3 are 'A's, and the other letters are distinct.
Total permutations: .
Favorable permutations (AAA as a block): .
Probability: .
I am consistently getting . How can an option be ?
.
This means my probability needs to be divided by 3.
This would happen if the number of favorable outcomes was 1/3 of what I calculate, or total outcomes were 3 times more.
Let's use the standard result for items being together.
The number of ways to arrange items such that specific items are together is .
The total number of ways to arrange items is .
Probability = .
This is for distinct items. If the items are identical, the in the numerator is not there.
If the items are identical, and the remaining items are distinct:
Total arrangements: .
Favorable arrangements (block of identical items): .
Probability = .
This formula is correct.
So for , : Probability is .
This implies the options provided in the prompt are for a different question or calculation.
I must create options that are consistent with my calculated answer.
So, if is the answer, I will put it as an option.
Let's re-read the prompt again. "Create: ... MCQ question="..." options=["...","...","...","..."] answer="exact option text" hint="..." solution="..."
I am creating the options. So I am free to set them.
I will use the word 'MATHEMATICS' and modify the question to be "all two 'A's together".
Word: 'MATHEMATICS'. 11 letters. M:2, A:2, T:2, H:1, E:1, I:1, C:1, S:1.
Total arrangements: .
Favorable (all two 'A's together): Treat 'AA' as a block.
Now arrange 10 items: (AA), M, T, H, E, M, T, I, C, S.
Repetitions: (AA):1, M:2, T:2.
Arrangements: .
Probability: .
This is a clean calculation and is a common type of answer.
Let's make options for .
Options: ["", "", "", ""]
Answer: ""
This is much more consistent. The original prompt's "all three 'A's together" for 'MATHEMATICS' was the issue. I've corrected it.
---
Revisiting the first question:
Q1 (MCQ - Combinations with constraints):
A committee of 4 is to be formed from a group of 7 men and 5 women. What is the probability that the committee consists of exactly 2 men and 2 women?
Total ways to form committee: .
Favorable ways: .
Probability: .
Options: ["","","",""]
Answer: ""
This looks good.
---
Final check on the fourth question:
Q4 (NAT - Stars and Bars/Combinations):
How many non-negative integer solutions are there to the equation ?
Stars and bars: .
This is correct.
All questions are consistent now.
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Chapter Summary
Probability calculation often reduces to accurately counting favorable and total possible outcomes.
The Fundamental Principle of Counting (multiplication and addition rules) is foundational for enumerating complex events.
Permutations () quantify ordered arrangements, while combinations () quantify unordered selections.
Distinguish between permutations of distinct items and permutations involving indistinguishable items (e.g., arrangements of letters in a word with repetitions).
Combinations are vital for problems involving selections, committee formations, and scenarios where the order of selection does not matter.
Many grid and path problems can be solved using combinations, particularly shortest path calculations (e.g., for an grid).
* The principle of complementary counting (1 - probability of complement event) often simplifies problems involving "at least" or "not more than" conditions.
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Chapter Review Questions
:::question type="MCQ" question="A committee of 4 is to be formed from a group of 7 men and 5 women. What is the probability that the committee consists of exactly 2 men and 2 women?" options=["","","",""] answer="" hint="Calculate the total number of ways to form a committee of 4 from 12 people. Then calculate the number of ways to select 2 men from 7 and 2 women from 5. The probability is the ratio of these two values." solution="Total number of ways to form a committee of 4 from 12 people is .
Number of ways to select 2 men from 7 is .
Number of ways to select 2 women from 5 is .
Number of ways to form a committee with exactly 2 men and 2 women is .
The probability is .
Dividing numerator and denominator by 15: .
"
:::
:::question type="NAT" question="A robot starts at the origin (0,0) and needs to reach the point (6,4) by taking only unit steps right (R) or up (U). How many distinct paths are there?" answer="210" hint="This is a classic combinatorial problem. The robot must take 6 steps right and 4 steps up. The total number of steps is . The problem reduces to finding the number of ways to arrange 6 'R's and 4 'U's." solution="To reach (6,4) from (0,0), the robot must take 6 steps to the right and 4 steps up. The total number of steps is . The number of distinct paths is the number of ways to choose which 6 of these 10 steps are 'right' steps (or which 4 are 'up' steps).
This can be calculated using combinations:
.
Alternatively, using permutations with repetition: .
"
:::
:::question type="MCQ" question="What is the probability that a randomly chosen arrangement of the letters in the word 'MATHEMATICS' has both 'A's together?" options=["","","",""] answer="" hint="Identify the repeated letters in 'MATHEMATICS'. Calculate the total number of distinct arrangements. Then, treat the two 'A's as a single block and calculate the number of arrangements for this modified set of letters. The probability is the ratio of favorable to total arrangements." solution="The word 'MATHEMATICS' has 11 letters: M(2), A(2), T(2), H(1), E(1), I(1), C(1), S(1).
Total number of distinct arrangements of 'MATHEMATICS' is given by the multinomial coefficient:
For the 'A's to be together, treat 'AA' as a single block. Now we are arranging 10 items: (AA), M, T, H, E, M, T, I, C, S.
The repeated letters among these 10 items are M(2) and T(2).
The number of arrangements with 'AA' together is:
The probability that both 'A's are together is the ratio of favorable arrangements to total arrangements:
Dividing both numerator and denominator by their greatest common divisor (which is 4536):
:::
:::question type="NAT" question="How many non-negative integer solutions are there to the equation ?" answer="455" hint="This is a stars and bars problem. For an equation where , the number of solutions is or ." solution="This is a classic stars and bars problem. We have 'stars' (the sum) to be distributed among 'bins' (the variables ).
The number of non-negative integer solutions is given by the formula or .
Using :
.
"
:::
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What's Next?
The principles of counting and enumeration established in this chapter are fundamental. They serve as the bedrock for understanding discrete probability distributions such as the Binomial, Hypergeometric, and Multinomial distributions. Furthermore, a solid grasp of counting techniques is essential for accurately computing probabilities in more advanced topics like conditional probability, Bayes' Theorem, and Markov Chains, where the sample space and events often require careful combinatorial analysis.