This video tutorial covers the concepts of theoretical and experimental probability. It explains the definitions and differences between the two types of probability, using examples such as a spinner experiment and dice rolling. The video also demonstrates how to use experimental probability to make predictions, illustrated through a survey example. Finally, viewers are given practice problems to reinforce their understanding.

What is theoretical probability based on?

• Results from previous experiments

• The actual outcome of an experiment

• The expected outcome without conducting an experiment

• The number of times an experiment is conducted

How is the denominator of experimental probability determined?

• By the number of possible outcomes

• By the total number of experiments conducted

• By the number of successful outcomes

• By the theoretical expectations

What does the experimental probability of spinning red simplify to in the spinner example?

• 1/3

• 2/5

• 24/60

• 1/2

Tags

CCSS.7.SP.C.6

What fraction represents the theoretical probability of spinning red on the spinner?

• 3/4

• 1/2

• 1/3

• 2/5

Tags

CCSS.7.SP.C.7B

In the context of experimental probability, what does the numerator represent?

• The total number of experiments conducted

• The number of successful outcomes

• The theoretical expectation

• The number of possible outcomes

What is the theoretical probability of rolling a 4 with a dice?

• 1/2

• 1/5

• 1/4

• 1/6

Tags

CCSS.7.SP.C.7A

In the dice rolling experiment, what is the simplified experimental probability of rolling a 2?

• 6/25

• 3/25

• 1/4

• 12/50

Tags

CCSS.7.SP.C.6

What is the experimental probability of rolling a 1 in the dice experiment?

• 3/25

• 12/50

• 6/50

• 1/6

How many students can be expected to choose hamburgers for lunch according to the survey prediction?

• 225

• 120

• 64

• 30

Tags

CCSS.7.SP.A.2

What method is used to solve for the expected number of students choosing hamburgers in the survey prediction example?

• Addition of fractions

• Division of outcomes

• Cross multiplication

• Subtraction of probabilities