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Which one is not a condition of Poisson model?
- a)the probability of having success in a small time interval is constant.
- b)the probability of having success more than one in a small time interval is very small.
- c)the probability of having success in a small interval is independent of time and also of earlier success.
- d)the probability of having success in a small time interval (t, t + dt) is kt for a positive constant k.
Correct answer is option 'A'. Can you explain this answer?
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Which one is not a condition of Poisson model?a)the probability of hav...
Explanation:
Poisson model is used to model the count data which follows the Poisson distribution. The Poisson model has the following conditions:
1. The probability of having success in a small time interval is independent of time and also of earlier success.
2. The probability of having success in a small interval is constant.
3. The probability of having success more than one in a small time interval is very small.
4. The number of success in a small interval is independent of the number of success in other intervals.
Out of these conditions, option 'A' is not a condition of the Poisson model. The correct explanation for each condition is as follows:
1. The probability of having success in a small time interval is independent of time and also of earlier success: The Poisson model assumes that the probability of having a success in a small time interval is independent of the time of the day or the day of the week. It also assumes that the probability of having success in a small interval is not affected by the earlier success. This means that the probability of having success in a small interval is fixed.
2. The probability of having success in a small interval is constant: The Poisson model assumes that the probability of having success in a small interval is constant. This means that the probability of having a success in a small interval does not change with time.
3. The probability of having success more than one in a small time interval is very small: The Poisson model assumes that the probability of having success more than once in a small time interval is very small. This means that the model assumes that the events occur independently of each other.
4. The number of success in a small interval is independent of the number of success in other intervals: The Poisson model assumes that the number of success in a small interval is independent of the number of success in other intervals. This means that the model assumes that the events occur independently of each other.
Conclusion:
In conclusion, the Poisson model has four conditions, and option 'A' is not a condition of the Poisson model.
Poisson model is used to model the count data which follows the Poisson distribution. The Poisson model has the following conditions:
1. The probability of having success in a small time interval is independent of time and also of earlier success.
2. The probability of having success in a small interval is constant.
3. The probability of having success more than one in a small time interval is very small.
4. The number of success in a small interval is independent of the number of success in other intervals.
Out of these conditions, option 'A' is not a condition of the Poisson model. The correct explanation for each condition is as follows:
1. The probability of having success in a small time interval is independent of time and also of earlier success: The Poisson model assumes that the probability of having a success in a small time interval is independent of the time of the day or the day of the week. It also assumes that the probability of having success in a small interval is not affected by the earlier success. This means that the probability of having success in a small interval is fixed.
2. The probability of having success in a small interval is constant: The Poisson model assumes that the probability of having success in a small interval is constant. This means that the probability of having a success in a small interval does not change with time.
3. The probability of having success more than one in a small time interval is very small: The Poisson model assumes that the probability of having success more than once in a small time interval is very small. This means that the model assumes that the events occur independently of each other.
4. The number of success in a small interval is independent of the number of success in other intervals: The Poisson model assumes that the number of success in a small interval is independent of the number of success in other intervals. This means that the model assumes that the events occur independently of each other.
Conclusion:
In conclusion, the Poisson model has four conditions, and option 'A' is not a condition of the Poisson model.
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Which one is not a condition of Poisson model?a)the probability of hav...
Option(a) because the probability of having success in a long time interval is constant
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Which one is not a condition of Poisson model?a)the probability of having success in a small time interval is constant.b)the probability of having success more than one in a small time interval is very small.c)the probability of having success in a small interval is independent of time and also of earlier success.d)the probability of having success in a small time interval (t, t + dt) is kt for a positive constant k.Correct answer is option 'A'. Can you explain this answer?
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Which one is not a condition of Poisson model?a)the probability of having success in a small time interval is constant.b)the probability of having success more than one in a small time interval is very small.c)the probability of having success in a small interval is independent of time and also of earlier success.d)the probability of having success in a small time interval (t, t + dt) is kt for a positive constant k.Correct answer is option 'A'. Can you explain this answer? for CA Foundation 2024 is part of CA Foundation preparation. The Question and answers have been prepared according to the CA Foundation exam syllabus. Information about Which one is not a condition of Poisson model?a)the probability of having success in a small time interval is constant.b)the probability of having success more than one in a small time interval is very small.c)the probability of having success in a small interval is independent of time and also of earlier success.d)the probability of having success in a small time interval (t, t + dt) is kt for a positive constant k.Correct answer is option 'A'. Can you explain this answer? covers all topics & solutions for CA Foundation 2024 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Which one is not a condition of Poisson model?a)the probability of having success in a small time interval is constant.b)the probability of having success more than one in a small time interval is very small.c)the probability of having success in a small interval is independent of time and also of earlier success.d)the probability of having success in a small time interval (t, t + dt) is kt for a positive constant k.Correct answer is option 'A'. Can you explain this answer?.
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