The video tutorial explains the concepts of discrete random variables, focusing on the terms 'discrete', 'random', and 'variable'. It clarifies the meaning of randomness in probability, differentiates between discrete and continuous variables, and demonstrates how to calculate the expected value and median of a probability distribution.

What does the term 'variable' signify in the context of discrete random variables?

• A random guess

• A fixed number

• A value that can change

• A constant value

In the context of probability, what does 'random' mean?

• Pre-determined outcomes

• Biased outcomes

• Equally likely outcomes

• Unpredictable outcomes

What is the main difference between discrete and continuous variables?

• Continuous variables are countable

• Discrete variables can take any value

• Continuous variables are fixed

• Discrete variables are separate and countable

Which Greek letter is used in the calculation of expected value?

• Alpha

• Beta

• Gamma

• Sigma

What does the sigma notation represent in the context of expected value?

• Summation

• Multiplication

• Division

• Subtraction

What are the two components needed to calculate the expected value?

• Probabilities and outcomes

• X values and Y values

• Y values and probabilities

• X values and probabilities

How is the median of a probability distribution determined?

• By calculating the sum of all values

• By locating the middle value in cumulative probability

• By identifying the most frequent value

• By finding the average

What is the cumulative probability at the median of a distribution?

• 0.5

• 0.25

• 0.75

• 1.0

Why must the cumulative probability add up to one?

• To ensure all outcomes are possible

• To verify the distribution is discrete

• To confirm the distribution is continuous

• To validate the total probability of all outcomes

What is the relationship between the median and expected value in this distribution?

• The median is unrelated to the expected value

• The median is greater than the expected value

• The median is less than the expected value

• The median is equal to the expected value