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

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

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

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10 questions

Show all answers

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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