Tutorial
GCSE Maths: Relative Frequency and Expected Outcomes
Learn to calculate relative frequency from experimental data and use it to find the expected number of outcomes in a series of trials.
Tutorial
GCSE Maths: Relative Frequency and Expected Outcomes
Learn to calculate relative frequency from experimental data and use it to find the expected number of outcomes in a series of trials.
Management & Tools
Deck Contents
14 CardsLesson#1
Welcome to this deck on relative frequency and expected outcomes. We'll explore how to estimate probabilities from experiments and then use those probabilities to predict how often something might happen.
Lesson#2
You might know that the theoretical probability of a fair coin landing on heads is one half. But if you actually flip a coin ten times, you might get heads 6 times, or 4 times. The result you get from actually doing an experiment is called the experimental probability, or relative frequency.
Quiz#3
What is another name for the probability found from an experiment?
relative frequency
Lesson#4
To calculate relative frequency, you just divide the number of times your desired outcome occurred by the total number of times you ran the experiment. So, relative frequency equals the number of successful outcomes divided by the total number of trials.
Quiz#5
How do you calculate relative frequency from an experiment?
successes divided by trials
Quiz#6
If a coin is flipped 10 times and lands on heads 7 times, what is the relative frequency of getting heads?
7 over 10
Login to View Content
Create a free account or log in to see all 14 cards and start studying this deck.
Learn GCSE Maths: Relative Frequency and Expected Outcomes differently
Auracle is an audio-first learning platform built for busy people. Memorize anything without looking at a screen.
Hands-Free Learning
Listen, interact, and review cards entirely through audio. Perfect for commuting, walking, or at the gym.
Spaced Repetition
Auracle uses a scientific algorithm to schedule your reviews at the optimal time, ensuring you never forget what you learn.
Learn how it works