Data Science and Machine Learning (Theory and Projects) A to Z - Expectations: Sample Mean

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Information Technology (IT), Architecture
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University
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Hard
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary parameter that defines a Bernoulli distribution?
Mean
Variance
Probability of success
Standard deviation
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main goal of the experiment setup discussed in the video?
To calculate the standard deviation
To determine the mode of the distribution
To connect the average of data with distribution parameters
To find the variance of random variables
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does the mean of Bernoulli random variables relate to the probability of success?
It approximates the probability of success
It is unrelated to the probability of success
It is always less than the probability of success
It is always greater than the probability of success
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the law of large numbers imply about sample averages?
They become closer to the expected value with more data
They become more variable with more data
They become less reliable with more data
They become unrelated to the expected value with more data
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the expected value of a geometric random variable?
Equal to the probability of success
Equal to the mean of the data
Different from the probability of success
Equal to the variance of the data
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the context of geometric random variables, what is necessary to relate the average to the expected value?
Calculating the median
Calculating the expected value
Calculating the mode
Calculating the variance
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the average of a binomial random variable depend on?
The mode of the distribution
The standard deviation
The number of trials and probability of success
The variance of the distribution
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