The Bernoulli distribution is a distribution whose random variable can only take 0 or 1
- The value of E(x2) is p
- The value of V(x) is p(1 - p)
- The value of E(x79) is p
<h3>How to compute E(x2)</h3>
The distribution is given as:
p(0) = 1 - p
p(1) = p
The expected value of x2, E(x2) is calculated as:
So, we have:
Evaluate the exponents
Multiply
Add
Hence, the value of E(x2) is p
<h3>How to compute V(x)</h3>
This is calculated as:
Start by calculating E(x) using:
So, we have:
Recall that:
So, we have:
Factor out p
Hence, the value of V(x) is p(1 - p)
<h3>How to compute E(x79)</h3>
The expected value of x79, E(x79) is calculated as:
So, we have:
Evaluate the exponents
Multiply
Add
Hence, the value of E(x79) is p
Read more about probability distribution at:
brainly.com/question/15246027
Answer:
y = 8.1
Step-by-step explanation:
y+2.9=11
Subtract 2.9 from each side
y+2.9-2.9 = 11-2.9
y =8.1
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Answer:
Our population of interest represent all the adults in United states who never travel using commercial airlines.
The sample on this case represent the people surveyed in United States who never travel using commercial airlines.
For this case the value obtained represent a statistic since is a value who represent the sample not the population. Our population parameter is not known and is given by
Step-by-step explanation:
A statistic is a "characteristic of a sample". And the statistic allows "estimate the value of a population parameter".
A parameter is a value who represent the population of interest.
For this case we have a sample size of size n = 2276
The proportion estimated of people that nevel travel using commercial airlines was:
or 33%
Our population of interest represent all the adults in United states who never travel using commercial airlines.
The sample on this case represent the people surveyed in United States who never travel using commercial airlines.
For this case the value obtained represent a statistic since is a value who represent the sample not the population. Our population parameter is not known and is given by