7th Grade Probability

If you have 3 colors of yarn and 2 patterns, how many combinations can you create?

• 4 combinations

• 5 combinations

• 6 combinations

• 7 combinations

What is the probability of picking a red card from a standard deck of cards?

• 25%

• 50%

• 75%

• 10%

What is the probability of rolling a number greater than 3 on a 6-sided die?

• P(greater than 3) = 1/2 = 25%

• P(greater than 3) = 3/6 = 50%

• P(greater than 3) = 2/6 = 33%

• P(greater than 3) = 4/6 = 66%

What is probability?

• A measure of how likely an event is to occur, expressed as a number between 0 and 1, or as a percentage.

• A way to predict the future based on past events.

• A method of calculating the average of a set of numbers.

• A technique used in statistics to analyze data.

If you spin a spinner with 5 colors, what is the probability of landing on blue?

• P(blue) = 1/4 or 25%

• P(blue) = 1/5 or 20%

• P(blue) = 1/3 or 33%

• P(blue) = 1/2 or 50%

How many outcomes are there when rolling a 6-sided die?

• 4 possible outcomes: 1, 2, 3, 4

• 5 possible outcomes: 1, 2, 3, 4, 5

• 6 possible outcomes: 1, 2, 3, 4, 5, or 6

• 7 possible outcomes: 1, 2, 3, 4, 5, 6, or 7

If you have 4 different toppings and want to choose 2, how many combinations can you make?

• 2 combinations

• 4 combinations

• 6 combinations

• 8 combinations

What is a sample space in probability?

• A sample space is the set of all possible outcomes of a probability experiment.

• A sample space is a collection of events that cannot occur simultaneously.

• A sample space is the average of all outcomes in a probability experiment.

• A sample space is a method to calculate probabilities.

What is the probability of getting heads at least once when flipping a coin twice?

• P(at least one head) = 1/2 = 50%

• P(at least one head) = 2/4 = 50%

• P(at least one head) = 3/4 = 75%

• P(at least one head) = 4/4 = 100%

What is the formula for calculating the probability of an event?

• P(Event) = (Number of favorable outcomes) / (Total number of possible outcomes)

• P(Event) = (Total number of possible outcomes) / (Number of favorable outcomes)

• P(Event) = (Number of unfavorable outcomes) / (Total number of possible outcomes)

• P(Event) = (Number of favorable outcomes) + (Total number of possible outcomes)