CA Foundation Exam > CA Foundation Questions > When a coin is tossed 10 times thena)Normal D...
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When a coin is tossed 10 times then
- a)Normal Distribution
- b)Poisson Distribution
- c)Binomial Distribution
- d)None is used
Correct answer is option 'C'. Can you explain this answer?
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When a coin is tossed 10 times thena)Normal Distributionb)Poisson Dist...
Explanation:
In this scenario, when a coin is tossed 10 times, the outcome of each toss can either be heads or tails, which represents a binary outcome. Therefore, the binomial distribution applies. The binomial distribution is used to analyze discrete data that represents the number of successes in a fixed number of trials, which is the case when a coin is tossed a fixed number of times.
Hence, the correct answer is option 'C', which is Binomial Distribution.
- Normal Distribution: Normal Distribution is used when the data is continuous and follows a bell-shaped curve. It is used to analyze data with a mean and standard deviation.
- Poisson Distribution: Poisson Distribution is used to analyze discrete data that represents the number of times an event occurs in a specific time interval or location.
- Binomial Distribution: Binomial Distribution is used to analyze discrete data that represents the number of successes in a fixed number of trials.
- None: None is used when there is no distribution that applies to the data.
In this scenario, when a coin is tossed 10 times, the outcome of each toss can either be heads or tails, which represents a binary outcome. Therefore, the binomial distribution applies. The binomial distribution is used to analyze discrete data that represents the number of successes in a fixed number of trials, which is the case when a coin is tossed a fixed number of times.
Hence, the correct answer is option 'C', which is Binomial Distribution.
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When a coin is tossed 10 times thena)Normal Distributionb)Poisson Distributionc)Binomial Distributiond)None is usedCorrect answer is option 'C'. Can you explain this answer?
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