Columna A Columna B 1. The distribution which is used in situations a. Poisson distribution where the value of the random variable is found b. Continuous random variable by counting the number of occurrences within a defined segment of time or space. 2. The distribution which is used in situations c. Hypergeometric distribution 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. Expected value e. Binomial distribution f. Discrete 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 considered, is a g. Variance 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 4. 5. value for the random variable. 3.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Match the following concepts:
Columna A
Columna B
1.
The distribution which is used in situations
a. Poisson distribution
where the value of the random variable is found
by counting the number of occurrences within a
defined segment of time or space.
b. Continuous random variable
2.
The distribution which is used in situations
c. Hypergeometric distribution
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. Expected value
3.
e. Binomial distribution
f. Discrete 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
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
g. Variance
4.
5.
value for the random variable.
Transcribed Image Text:Match the following concepts: Columna A Columna B 1. The distribution which is used in situations a. Poisson distribution where the value of the random variable is found by counting the number of occurrences within a defined segment of time or space. b. Continuous random variable 2. The distribution which is used in situations c. Hypergeometric distribution 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. Expected value 3. e. Binomial distribution f. Discrete 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 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 g. Variance 4. 5. value for the random variable.
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