Which of the following best describes what an expected value is? O The predicted average if we were to observe many outcomes from a random variable. O A number that measures how much variables are related. How often we predict an event will happen in the long run (as a relative frequency). O If we were to observe many outcomes from a random variable, it would measure the amount of variation in these outcomes. O The most likely outcome or value that we will see from a random variable.
Which of the following best describes what an expected value is? O The predicted average if we were to observe many outcomes from a random variable. O A number that measures how much variables are related. How often we predict an event will happen in the long run (as a relative frequency). O If we were to observe many outcomes from a random variable, it would measure the amount of variation in these outcomes. O The most likely outcome or value that we will see from a random variable.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:Question 10
Which of the following best describes what an expected value is?
The predicted average if we were to observe many outcomes from a random variable.
O A number that measures how much variables are related.
How often we predict an event will happen in the long run (as a relative frequency).
O If we were to observe many outcomes from a random variable, it would measure the amount
of variation in these outcomes.
O The most likely outcome or value that we will see from a random variable.
Question 11
Which of the following conditions must be true for a random variable to follow a binomial
distribution? Select all that apply.
Details
Each trial must have a clear success (and failure) defined.
The number of trials must be fixed.
Details
Observing a success in each trial must be independent (i.e. the outcome of one trial does not
affect the probability of success in another trial).
The number of trials must be large.
The probability of success must be the same for each trial.
The probability of success for each trial must be greater than the probability of a failure.
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