The video tutorial covers the estimation of probabilities, focusing on experimental probability derived from real-world data. It explains how to calculate relative frequency and the importance of precision in rounding. The tutorial compares theoretical and experimental probabilities, using examples like family gender distribution. It concludes with applications of probability in predicting outcomes, such as family planning and public transport usage.

What is the primary goal of estimating probabilities in real-world scenarios?

• To make random guesses

• To avoid making plans

• To understand past events

• To forecast future events

What is another term for experimental probability?

• Absolute probability

• Predictive probability

• Relative frequency

• Theoretical probability

How do you calculate relative frequency from a dataset?

• Divide the total by the frequency

• Add the frequency to the total

• Multiply the frequency by the total

• Divide the frequency by the total

Why is it important to be precise when rounding decimals in probability calculations?

• To simplify the results

• To make calculations easier

• To ensure the probabilities add up to one

• To avoid using fractions

What tool is most helpful for visualizing probabilities with three children in a family?

• A list

• An array

• A table

• A tree diagram

In a tree diagram for three children, what is the probability of having exactly one female child?

• 3/8

• 1/8

• 4/8

• 2/8

How many ways can you have exactly two female children in a family of three?

• Four ways

• Three ways

• Two ways

• One way

What is the decimal equivalent of 1/8 in probability terms?

• 0.375

• 0.5

• 0.25

• 0.125

How can experimental probability be used to estimate outcomes in a larger population?

• By assuming all outcomes are equally likely

• By using the relative frequency from a smaller sample

• By guessing the outcomes

• By ignoring the experimental data

If 15 out of 143 families have no girls, how many would you expect in a population of 2000 families?

• 400

• 300

• 209

• 150