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Applied Mathematics · Class 12 Commerce

Ch 6Probability Distribution — Class 12 Applied Mathematics, concept-first.

This concept map shows how the chapter fits together. A probability distribution may be discrete — a random variable with its mean (expectation) and variance, and the Binomial and Poisson distributions — or continuous — the Normal distribution, its standard form, the Z-score and the Z-test.

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Random Variable Definition

Imagine you're about to toss a coin three times. Before you toss, the outcome is uncertain — it could be HHH, HHT, HTH, HTT, THH, THT, TTH, or TTT. But you're not really interested in the exact sequence.

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Chapter contents

The NCERT structure, section by section. Open a section to see its questions, then read the concept-first solution.

Concept Map

This concept map shows how the chapter fits together. A probability distribution may be discrete — a random variable with its mean (expectation) and variance, and the Binomial and Poisson distribution…

4.2

Introduction

Many experiments in probability have outcomes that aren't numbers by themselves — the colour of a sweater drawn at random, the face shown on a tossed coin, and so on.

4.2.1

Discrete and Continuous Random Variables

A random variable can behave in one of two fundamentally different ways, depending on the kind of values it can take.

4.2.2

Probability Distribution of Discrete Random Variable

Once a discrete random variable has been defined on a sample space, the natural next step is to ask: how likely is each of its possible values? Consider rolling two dice and letting be the sum of the…

4.3

Mathematical Expectation of Discrete Probability Distribution

The mean, as a measure of central tendency, gives a rough sense of the middle or average value taken by a random variable across an experiment.

4.4

Variance of Discrete Probability Distribution

While the mean locates the centre of a random variable's values, the variance measures how spread out those values tend to be around that centre.

4.5

Binomial Distribution

Many experiments boil down to just two possible outcomes — a coin toss lands heads or tails, an answer is correct or incorrect, a component is defective or not.

4.6

Poisson Distribution

Some experiments count how many times an event occurs over a fixed span of time, distance, area or volume — the number of car sales at a showroom in a day, or the number of customers arriving at a res…

4.7

Normal Distribution

All the distributions discussed so far describe a discrete random variable, where every possible value can be listed and assigned its own probability.

4.7.1

Standard Normal Distribution

A normal distribution is fully described by just two parameters — its mean and standard deviation . In practice, though, different data sets rarely share the same mean and standard deviation: one set…

4.7.2

Z-Score of Normal Distribution

A normal distribution with mean and standard deviation is called the standard normal distribution, and the variable following it is called a standard normal variate; the distribution is also referred…

4.7.3

Z-Test for Normal Distribution

When a claim is made about a population — for instance, that a new drug is effective, or that a process meets some target — a hypothesis test is used to judge how likely that claim is to be true, base…

4.9

Quick Recapitulation

This chapter introduced random variables and the main probability distributions used in applied statistics. Its key ideas and formulae are gathered below.

Check Your Progress

+Check Your Progress24 questions
  1. Q1State which of the following are not the probability distributions of a random variable. Give reasons for your answer a. | X | -1 | 0 | 1 |…Free
  2. Q2A lady's bag contains 2 black and 1 red pens. One pen is drawn at random and then put back in the box after noting its colour. The process i…Free
  3. Q3What is the mean of the numbers obtained on throwing a die having written 1 on three faces, 2 on two faces and 5 on one face?Free
  4. Q4Raheem tossed a fair coin 10 times, find the probability of (i) exactly six heads (ii) at least six heads (iii) at most six heads.Preview
  5. Q5Find the probability of getting 5 exactly twice in 7 throws of a fair die.Preview
  6. Q6Let X denote the number of hours a class XII student studies during a randomly selected school day. The probability that X can take the valu…Preview
  7. Q7How many times must Sumit toss a fair coin so that the probability of getting at least one head is more than 90%?Preview
  8. Q8A pair of dice is thrown and the random variable X represents the sum of the numbers that appear on the two dice. Calculate the mathematical…Preview
  9. Q9Find the variance of a bernoulli random variable whose probability of success is 0.6.Preview
  10. Q10If the mean and variance of a binomial distribution are $4/3$ and $8/9$ resp. find $P(x=1)$Preview
  11. Q11What is the expected value of number of tails on a throw of a fair coin?Preview
  12. Q12A customer care company receives an average of 4.5 calls every 5 minutes. If each customer executive can handle one of these calls over the…Preview
  13. Q13A statistician records the number of trucks approaching a particular intersection to analyze the flow of traffic. He observes that on an ave…Preview
  14. Q14A computer disk manufacturer tests disk quality on random basis before approving it. The approval is based on the number of errors in a test…Preview
  15. Q15In a Poisson distribution, if mean is 2, what is the variance?Preview
  16. Q16It is given that 3% defective electric bulb are manufactured by a company. Using Poisson distribution, find the probability of 100 bulbs wil…Preview
  17. Q17The mortality rate for a certain disease is 0.007. Using Poisson distribution, calculate the probability for 2 deaths in a group of 400 peop…Preview
  18. Q18An ice-cream parlour receives a customer at an average rate of 4 per minute. If the number of customers received by the parlour follows a Po…Preview
  19. Q19Using Z-Table, Calculate a) $P(Z < 1.20)$ b) $P(Z \le 1.20)$ c) $P(-0.5 \le Z \le 1.0)$ d) $P(-1.0 \le Z \le 1.0)$Preview
  20. Q20A company conducted an IQ test for randomly select 50 employees. Volunteer A scored 74 out of the possible 120 points. If the average IQ tes…Preview
  21. Q21An average ceiling fan manufactured by the Jagdeep Corporation lasts 300 days with a standard deviation of 50 days. Assuming that the ceilin…Preview
  22. Q22In a survey of daily travel time (in minutes) of students to reach their school was recorded as follows: 26, 33, 65, 28, 34, 55, 25, 44, 50,…Preview
  23. Q23In an examination, 2000 students appeared and the mean of the normal distribution of marks is 30 with standard deviation as 6.25. Find out h…Preview
  24. Q24In a normal distribution, 31% of the articles are under 45 and 8% are over 64. Calculate the mean and standard deviation of the distributionPreview