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A chance experiment is something that can be done over and over again, and what will happen each time is not known.
For example, each time the spinner is spun, it could land on red, yellow, blue, or green.
An event is a set of 1 or more outcomes in a chance experiment.
For example, if a number cube is rolled, there are 6 possible outcomes.
Some events are “rolling a number less than 3,” “rolling an even number,” or “rolling a 5.”
The interquartile range is one way to measure how spread out a data set is. To find the IQR, subtract the first quartile (Q1) from the third quartile (Q3).
For example, the IQR of this data set is 20 because \(50-30=20\).
| 22 | 29 | 30 | 31 | 32 | 43 | 44 | 45 | 50 | 50 | 59 |
| Q1 | Q2 | Q3 |
From an earlier course.
The mean is one way to measure the center of a data set. It can be thought of as a balance point. To find the mean, add all the numbers in the data set. Then divide by how many numbers there are.
The mean is 11. So, the typical travel time is 11 minutes.
The mean absolute deviation (MAD) is one way to measure how spread out a data set is. To find the MAD, find the distance between each data value and the mean. Add all the distances. Then divide by how many distances there are.
The MAD is 2.4. So, these travel times are typically 2.4 minutes away from the mean of 11 minutes.
The median is one way to measure the center of a data set. It is the middle number when the data set is listed in order of value.
An outcome of a chance experiment is one of the things that can happen.
For example, the possible outcomes of tossing a coin are heads and tails.
A population is a set of people or things that is studied.
For example, someone wants to study the heights of people on different sports teams. The population is all the people on all of the teams.
The probability of an event is a number that tells how likely it is to happen. A probability of 1 means the event will always happen. A probability of 0 means the event will never happen.
For example, the probability of selecting a moon block at random from this bag is \(\frac45\).
A proportion of a data set is the fraction of the data in a given category.
For example, a class has 20 students. There are 2 left-handed students and 18 right-handed students in the class. The proportion of students who are left-handed is \(\frac{2}{20}\), or 0.1.
An outcome of a chance experiment is random if it cannot be predicted. For example, the result of rolling a standard number cube is random because it could result in 1, 2, 3, 4, 5, or 6, and nobody can know which value it will be until it is rolled.
A sample is representative of a population if they match closely. They are very alike in shape, center, and spread.
This dot plot shows the distribution for a population.
This dot plot shows the distribution of a sample that is representative of the population.
A sample is part of a population. For example, a population could be all the seventh grade students at one school. One sample of that population is all the seventh grade students who are in band.
The sample space is the list of every possible outcome for a chance experiment.
For example, the sample space for tossing two coins is:
| heads-heads | tails-heads |
| heads-tails | tails-tails |
A simulation is an experiment that is used to estimate the probability of a real-world event.
Suppose the weather forecast says there is a 25% chance of rain. This situation can be simulated with a spinner that has four equal sections. If the spinner stops on red, it represents rain. If the spinner stops on any other color, it represents no rain.