Understanding Markov Chains and City Connections

What is the primary role of Anna Markov in the company?

• She is a flight attendant.

• She is a travel agent.

• She is a quality inspector.

• She is a city planner.

How does Anna decide her next city to visit?

• She visits cities in alphabetical order.

• She follows a fixed schedule.

• She uses a spinner to choose randomly.

• She chooses based on weather conditions.

What is a key characteristic of a Markov chain?

• It requires a fixed starting point.

• It depends on the entire travel history.

• It is influenced by weather patterns.

• It depends only on the current state.

What determines the percentage of time Anna spends in each city?

• The city's economic status.

• The city's geographical location.

• The number of direct connections a city has.

• The city's population size.

Which city does Anna visit most frequently in the long run?

• Discrete Town

• Faysville

• East Vandermonde

• Average Mont