This video tutorial introduces key probability vocabulary, including outcomes, events, and sample space. It explains these concepts with examples, such as coin flipping and dice rolling. The video also covers theoretical and experimental probability, highlighting their differences and providing a practical example to illustrate these concepts.

Why is it important to understand probability vocabulary?

• To write a book on probability

• To pass a vocabulary test

• To understand and use the terms in class

• To impress friends with math skills

What is an 'outcome' in probability?

• A desired result from an experiment

• A random guess

• A list of all possible results

• A consequence of an action

If you roll a dice and get a 4, what is the outcome?

• Rolling the dice

• The act of rolling

• The number 4

• The dice itself

In probability, what is an 'event'?

• A mathematical formula

• A desired outcome from an experiment

• A list of all possible outcomes

• A random occurrence

Which of the following is an example of an event?

• Getting heads when flipping a coin

• Flipping a coin

• Rolling a dice

• The number 6 on a dice

What does 'sample space' refer to in probability?

• All possible outcomes of a situation

• A desired result

• A mathematical equation

• A single outcome

How many possible outcomes are there when rolling a standard six-sided dice?

• Two

• Four

• Eight

• Six

What is theoretical probability?

• Probability based on data collected through experiments

• An impossible event

• A random guess

• Probability calculated mathematically based on possible outcomes

What distinguishes experimental probability from theoretical probability?

• It involves actual experiments and data collection

• It is based on mathematical calculations

• It is used only in theoretical discussions

• It is always more accurate

If you flip a coin 30 times and record the results, what type of probability are you using?

• Theoretical probability

• Experimental probability

• Random probability

• Calculated probability