The video tutorial explores the concept of probability through experiments, starting with a coin toss and a marble selection experiment. It explains the difference between experimental and theoretical probability and introduces the law of large numbers, demonstrating how increasing the number of trials brings experimental results closer to theoretical expectations. The tutorial emphasizes understanding relative frequency and the importance of large sample sizes in probability experiments.

What is the experimental probability of getting heads in a coin toss experiment where all four tosses resulted in heads?

• 0

• 1

• 0.5

• 0.25

In the marble experiment, what is the relative frequency of picking a green marble if it was chosen 22 times out of 48 trials?

• 0.22

• 0.46

• 0.33

• 0.5

How is the theoretical probability of picking a green marble from a bag with one green, one blue, and one red marble calculated?

• 1/3

• 1/2

• 1/6

• 1/4

In the marble experiment, what was the experimental probability of picking a blue marble?

• 1/3

• 11/48

• 15/48

• 22/48

Why might there be a discrepancy between experimental and theoretical probability in a small number of trials?

• Small sample sizes can lead to inaccurate experimental results

• Experimental probability is always lower

• Theoretical probability is incorrect

• Experimental probability is always higher

What is the theoretical probability of getting heads in a single coin toss?

• 1/4

• 1/2

• 1

• 0

What does the law of large numbers suggest about experimental probability as the number of trials increases?

• It remains constant

• It approaches theoretical probability

• It diverges from theoretical probability

• It becomes less accurate

How does increasing the number of trials in an experiment affect the experimental probability?

• It becomes more biased

• It becomes closer to the theoretical probability

• It becomes less predictable

• It becomes more random

In the coin toss experiment, what was the result after 50 trials?

• 40 heads and 10 tails

• 25 heads and 25 tails

• 20 heads and 30 tails

• 30 heads and 20 tails

What is the main lesson learned from the law of large numbers?

• Probability is unpredictable

• Experimental probability approaches theoretical probability with more trials

• Theoretical probability is always wrong

• Experimental probability is always exact