The video tutorial covers experimental probability and qualitative predictions for grade 7 math. It begins with definitions of key terms like trial, outcome, event, sample space, and complement. The video then distinguishes between qualitative and quantitative data, explaining how each is used in probability. It demonstrates how to make predictions using experimental probability through examples, such as predicting bowling strikes and patient rescheduling. The tutorial concludes with real-life applications of qualitative predictions and a preview of upcoming topics.

What is the main focus of the video tutorial?

• Statistics and data analysis

• Algebraic equations and their solutions

• Experimental probability and qualitative predictions

• Geometry and spatial reasoning

What is a trial in the context of probability?

• Each observation of an experiment

• A type of data analysis

• A legal proceeding

• A mathematical equation

What does the sample space represent?

• The opposite of an outcome

• The result of a trial

• The set of all possible outcomes

• The likelihood of an event

What is the complement of an event?

• The same as the event

• All outcomes not included in the event

• The most likely outcome

• The least likely outcome

How is experimental probability used?

• To solve algebraic equations

• To create new mathematical theories

• To approximate the probability of an event

• To determine exact outcomes

What characterizes qualitative data?

• It deals with qualities and feelings

• It is precise and objective

• It deals with numbers and quantities

• It is always accurate

Which of the following is an example of qualitative data?

• The amount of money in a wallet

• The age of a building

• The color of the sky

• The number of students in a class

What is a characteristic of quantitative data?

• It is based on feelings

• It cannot be measured

• It is subjective

• It deals with quantities and numbers

Which of the following is an example of quantitative data?

• The beauty of a painting

• The warmth of a blanket

• The height of a building

• The taste of a pizza

How can experimental probability be used to make predictions?

• By writing an equation to find the likelihood of an event

• By ignoring past events

• By guessing the outcome

• By using historical data only