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What to do when a continuous probability is used to approximate a discrete probability distribution?
Wiki User
∙ 10y ago
You may need to make a continuity correction - see statistical text books for details.
Wiki User
∙ 10y ago
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When a continuous probability distribution is used to approximate a discrete probability distribution what value is added or subtracted?
Half the discrete unit.
Is the Poisson probability distribution discrete or continuous?
The Poisson distribution is discrete.
What are the Similarities of discrete probability distribution and continuous probability distribution?
They are probability distributions!
How does a discrete probability distribution differ from a continuous probability distribution?
A discrete probability distribution is defined over a set value (such as a value of 1 or 2 or 3, etc). A continuous probability distribution is defined over an infinite number of points (such as all values between 1 and 3, inclusive).
Is continuous distribution convert in discrete distribution?
If the question is asking if a continuous distribution can be converted to a discrete distribution, the answer is yes. Your age has a continuous distribution but in most cases, the information is recorded and analysed as if it were the whole number of years - a discrete distribution.
When a continuous probability distribution is used to approximate a discrete probability distribution what value is added or subtracted?
Half the discrete unit.
Is the binominal probability discrete or continuous?
The binomial probability distribution is discrete.
Is the Poisson probability distribution discrete or continuous?
The Poisson distribution is discrete.
What are the Similarities of discrete probability distribution and continuous probability distribution?
They are probability distributions!
Is normal distribution a discrete probability?
No. Normal distribution is a continuous probability.
How does a discrete probability distribution differ from a continuous probability distribution?
A discrete probability distribution is defined over a set value (such as a value of 1 or 2 or 3, etc). A continuous probability distribution is defined over an infinite number of points (such as all values between 1 and 3, inclusive).
Does empirical rules always apply to discrete probability distribution?
the empirical rules of probablility applies to the continuous probability distribution
Distinguish between binomial distribution and normal distribution?
Normal distribution is the continuous probability distribution defined by the probability density function. While the binomial distribution is discrete.
Is continuous distribution convert in discrete distribution?
If the question is asking if a continuous distribution can be converted to a discrete distribution, the answer is yes. Your age has a continuous distribution but in most cases, the information is recorded and analysed as if it were the whole number of years - a discrete distribution.
What are some examples of distribution function?
I will assume that you are asking about probability distribution functions. There are two types: discrete and continuous. Some might argue that a third type exists, which is a mix of discrete and continuous distributions. When representing discrete random variables, the probability distribution is probability mass function or "pmf." For continuous distributions, the theoretical distribution is the probability density function or "pdf." Some textbooks will call pmf's as discrete probability distributions. Common pmf's are binomial, multinomial, uniform discrete and Poisson. Common pdf's are the uniform, normal, log-normal, and exponential. Two common pdf's used in sample size, hypothesis testing and confidence intervals are the "t distribution" and the chi-square. Finally, the F distribution is used in more advanced hypothesis testing and regression.
Can normal distridution apply on discrete data?
Yes, If you have a large data set, you can approximate the discrete data by Normal distribution (which is continuous). An example would be, "A coin is tossed 1000 times. What is the probability of rolling between 300 and 400 heads?" This problem, usually solved by Binomial distribution (which is a discrete distribution), is very difficult to solve because of the large data set and can be approximated by the Normal distribution.
Is the exponential distribution discrete or continuous?
Continuous
