Check this work: Provide an example of classical probability and explain how the example illustrates the concept. (3 points) Classical Probability Example Example: Suppose you roll a fair six-sided die. Classical probability concept states that each outcome is equally likely. Question: What is the probability of rolling a 4? Solution: There are 6 possible outcomes: 1, 2, 3, 4, 5, 6 Only one outcome is favorable (rolling a 4). P (rolling a 4) = 1 / 6 This is classical probability because the number of favorable outcomes is divided by the total number of equally likely outcomes. Explain the difference between mutually exclusive and not mutually exclusive events, using an original example of each. (3 points) Events are mutually exclusive when the events cannot occur at the same time, while events that can occur simultaneously are considered not mutually exclusive events. Mutually Exclusive Example: You flip a coin once. Event A = getting heads; Event B = getting tails. These events cannot happen at the same time, so they are mutually exclusive. P (A and B) = 0 Not Mutually Exclusive Example: You draw a card from a standard deck. Event A = drawing a red card; Event B = drawing a King. There are two red Kings (King of Hearts and King of Diamonds), so both events can occur together. P (A and B) 0, so the events are not mutually exclusive. Explain the difference between independent and dependent events, using an original example of each. (3 points) Independent events do not affect each other whereas dependent events do. Independent Events Example: You roll a die and flip a co