The video tutorial explains the concept of expected frequency and its significance in understanding probability and predicting outcomes. It covers how probability is represented as a fraction, the role of sample space, and the calculation of expected frequency using probability. The tutorial also discusses the impact of replacement on probability and demonstrates experiments to observe theoretical versus experimental probability, highlighting the convergence of these probabilities over repeated trials.

Why is understanding probability important in real-world applications?

• It is used to confuse people.

• It helps in predicting future events.

• It has no practical applications.

• It is only useful for academic purposes.

What is the denominator in a probability fraction?

• Number of favorable outcomes

• Total possible outcomes

• Number of experiments

• Number of trials

What is the sample space in probability?

• The number of experiments conducted

• The number of trials

• The total possible outcomes

• The number of favorable outcomes

How do you calculate the expected frequency of an event?

• By dividing the number of favorable outcomes by the total outcomes

• By subtracting the probability from the number of experiments

• By multiplying the probability by the number of experiments

• By adding the number of favorable outcomes to the total outcomes

What happens to the probability of drawing a spade as more spades are dealt?

• It increases

• It remains the same

• It becomes zero

• It decreases

What is the probability of drawing a spade from a full deck of cards?

• 1/2

• 1/3

• 1/4

• 1/5

What is the difference between theoretical and experimental probability?

• Experimental probability is always higher.

• Experimental probability is based on actual experiments.

• Theoretical probability is based on past data.

• Theoretical probability is always accurate.

What does it mean when theoretical and experimental probabilities converge?

• They never become equal.

• They become irrelevant.

• They diverge over time.

• They become equal over time.

Why might experimental probability differ from theoretical probability?

• Due to lack of data

• Because theoretical probability is incorrect

• Because of chance and variability

• Due to errors in calculation

What is the expected frequency if an event has a probability of 1/4 and is repeated 16 times?

• 3

• 5

• 2

• 4