Pregunta 5 Match the following concepts: Columna A Columna B 1. The distribution which is used in situations a. Expected value where the value of the random variable is found b. Binomial distribution by counting the number of occurrences within a defined segment of time or space. c. Discrete random variable 2. The distribution which is used in situations where the sample size is large relative to the size of the population and the sampling is done without replacement. The distribution that applies when an experimental trial has only two possible outcomes called success and failure, the d. Hypergeometric distribution e. Variance 3. f. Continuous random variable g. Poisson distribution probability of success remains constant from trial to trial, the trials are independent, and there are a fixed number of identical trials being considered, is a A random variable that can assume only a finite number of values or an infinite sequence of values such as 0, 1, 2,.., is a Represents the mean of a discrete random variable, and represents the long-run average value for the random variable. 4. 5.
Pregunta 5 Match the following concepts: Columna A Columna B 1. The distribution which is used in situations a. Expected value where the value of the random variable is found b. Binomial distribution by counting the number of occurrences within a defined segment of time or space. c. Discrete random variable 2. The distribution which is used in situations where the sample size is large relative to the size of the population and the sampling is done without replacement. The distribution that applies when an experimental trial has only two possible outcomes called success and failure, the d. Hypergeometric distribution e. Variance 3. f. Continuous random variable g. Poisson distribution probability of success remains constant from trial to trial, the trials are independent, and there are a fixed number of identical trials being considered, is a A random variable that can assume only a finite number of values or an infinite sequence of values such as 0, 1, 2,.., is a Represents the mean of a discrete random variable, and represents the long-run average value for the random variable. 4. 5.
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![Pregunta 5
Match the following concepts:
Columna A
Columna B
1.
The distribution which is used in situations
a. Expected value
where the value of the random variable is found
b. Binomial distribution
by counting the number of occurrences within a
defined segment of time or space.
c. Discrete random variable
The distribution which is used in situations
where the sample size is large relative to the
size of the population and the sampling is done
without replacement.
The distribution that applies when an
d. Hypergeometric distribution
e. Variance
3.
experimental trial has only two possible
outcomes called success and failure, the
f. Continuous random variable
probability of success remains constant from
trial to trial, the trials are independent, and
there are a fixed number of identical trials being
g. Poisson distribution
considered, is a
A random variable that can assume only a finite
number of values or an infinite sequence of
values such as 0, 1, 2,...., is a
4.
Represents the mean of a discrete random
variable, and represents the long-run average
value for the random variable.
2.
5.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F95b15f07-8454-45de-a07f-d96a4238b31c%2Fece7fe2d-d6a7-4622-aa5b-1d39db85ae66%2Fnojaegm_processed.png&w=3840&q=75)
Transcribed Image Text:Pregunta 5
Match the following concepts:
Columna A
Columna B
1.
The distribution which is used in situations
a. Expected value
where the value of the random variable is found
b. Binomial distribution
by counting the number of occurrences within a
defined segment of time or space.
c. Discrete random variable
The distribution which is used in situations
where the sample size is large relative to the
size of the population and the sampling is done
without replacement.
The distribution that applies when an
d. Hypergeometric distribution
e. Variance
3.
experimental trial has only two possible
outcomes called success and failure, the
f. Continuous random variable
probability of success remains constant from
trial to trial, the trials are independent, and
there are a fixed number of identical trials being
g. Poisson distribution
considered, is a
A random variable that can assume only a finite
number of values or an infinite sequence of
values such as 0, 1, 2,...., is a
4.
Represents the mean of a discrete random
variable, and represents the long-run average
value for the random variable.
2.
5.
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