a. This distribution has an important application as an alternative to the Poisson distribution in modeling the number of events per unit of time, space, etc. b. Numerical result of observing a random phenomenon. Set of valid values for the parameter(s) of a probability distribution. c. Distribution of the random variable that is equal to the number of successes in n independent trials, with the probability of success being the same in any trial.
Match the concepts mentioned in class to their respective meanings. Enter the number referring to the concept in the box corresponding to its meaning.
1.Parametric space.
2.Geometric Distribution.
3.Bernoulli distribution
4. Binomial Distribution
5. Poisson distribution.
6.Negative Binomial Distribution.
7. Random variable.
8. Discrete Uniform Distribution.
a. This distribution has an important application as an alternative to the Poisson distribution in modeling the number of
b. Numerical result of observing a random phenomenon.
Set of valid values for the parameter(s) of a
c. Distribution of the random variable that is equal to the number of successes in n independent trials, with the probability of success being the same in any trial.
d. Each of the m values in its support has equal probability.
e. In this distribution, the mean equals the variance.
f. It is the distribution of a random variable Y that counts the number of trials made until the first success.
g. Basis for defining other distributions.
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