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Probability Model:
•Binomial 
Distribution…….
•Poison Distribution
•Normal Distribution.
Page 2


Probability Model:
•Binomial 
Distribution…….
•Poison Distribution
•Normal Distribution.
The Binomial Distribution…...
Page 3


Probability Model:
•Binomial 
Distribution…….
•Poison Distribution
•Normal Distribution.
The Binomial Distribution…...
Defination:
Page 4


Probability Model:
•Binomial 
Distribution…….
•Poison Distribution
•Normal Distribution.
The Binomial Distribution…...
Defination: Examples:
Page 5


Probability Model:
•Binomial 
Distribution…….
•Poison Distribution
•Normal Distribution.
The Binomial Distribution…...
Defination: Examples: Examples:::
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115 videos|142 docs

FAQs on PPT -Binomial Distribution - Business Mathematics and Statistics - B Com

1. What is the binomial distribution?
Ans. The binomial distribution is a discrete probability distribution that models the number of successes in a fixed number of independent Bernoulli trials, each with the same probability of success.
2. How is the binomial distribution different from other probability distributions?
Ans. The binomial distribution is different from other probability distributions because it deals with a fixed number of trials with only two possible outcomes (success or failure) and a constant probability of success for each trial.
3. What are the conditions required to use the binomial distribution?
Ans. The conditions required to use the binomial distribution are: 1) The number of trials is fixed. 2) Each trial is independent. 3) There are only two possible outcomes (success or failure) for each trial. 4) The probability of success is the same for each trial.
4. How is the binomial distribution calculated?
Ans. The binomial distribution can be calculated using the formula: P(X = k) = C(n, k) * p^k * (1-p)^(n-k), where P(X = k) is the probability of getting exactly k successes in n trials, C(n, k) is the number of combinations of n items taken k at a time, p is the probability of success in a single trial, and (1-p) is the probability of failure in a single trial.
5. What are some real-life examples where the binomial distribution can be applied?
Ans. The binomial distribution can be applied in various real-life scenarios, such as: 1) Flipping a coin a fixed number of times and counting the number of heads. 2) Conducting a survey and counting the number of people who choose a specific option. 3) Testing a batch of products and counting the number of defective items. 4) Analyzing the success rates of a medical treatment in a controlled experiment. 5) Examining the number of correct answers in a multiple-choice test.
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