Given a random sample, practice figuring out what can we reasonably infer about the entire population? Students receive immediate feedback and have the opportunity to try questions repeatedly, watch a video or receive hints.

Practice making inferences from random samples.

Given a population with known characteristics, students will be able to use a variety of methods to generate random samples of the same size in order to understand how a random sample is representative of a population.

Practice making inferences from random samples.

Practice estimating wildlife population by using the process of random sampling.

In this lesson, 7th graders will learn how to use random sampling to make generatlizations and predictions about a population.

This site provides students practice with the concept of random sampling. Students can learn about the topic by completing an interactive tutorial. Students can then take a ten question timed test to practice the skill.

In this lesson, students use a dice simulation to investigate how random sampling affects the properties of the distribution of a sample proportion, and are introduced to the sampling distribution of the sample proportion.

This activity covers random sampling and randomization for experiments.

Focus on the development and collection of data, emphasizing the importance of simple random sampling.

Students use Reese's Pieces to investigate the proportion of orange candies present in a set of 25. After collecting data for the class, they use a web applet to collect more data for random samples. This is compared to the actual...

[Free Registration/Login may be required to access all resource tools.] Decide how to choose a sampling of a population to produce reliable statistical results.

Practice figuring out whether we took a random sample and whether we're able to draw valid conclusions from our data. Students receive immediate feedback and have the opportunity to try questions repeatedly, watch a video or receive hints.

Upper elementary, middle, and high school students can use this exhibit to get an understanding of how polls and elections are conducted. The discussion includes random samples, margins of error, and other concepts related to statistics.

The exercise demonstrates that judgment (non-random) samples tend to be biased in the sense that they produce samples that are not balanced with respect to the population characteristics of interest. Students will estimate the mean...

Use random sampling to formulate, collect, and compare data from two populations. Written by Peter Banwarth of Oregon State University.

As the pollster for candidate Higgins, you need to know how she is faring with different groups. Read her political profile, view the demographic profile of the city, decide on the groups to poll, review the results and learn about...

An online statistics glossary which contains the definition for stratified sampling. Lists reasons for using stratified sampling instead of simple random sampling and gives an example situation in which stratified sampling may be used.

This site contains explanations and examples of the different kinds of data sampling.

In this task, students want to estimate the proportion of students in the school who thought of their parents as "strict". They do not have time to interview all 1000 students, so they plan to obtain data from a sample of students....

This lesson will introduce the process of sampling. It is 4 of 7 in the series titled "Sampling."

This site from Cornell University contains great information on random or probability sampling. Definitely a site worth checking out on the subject.

This resource explains what generalization is in statistics, its advantages and disadvantages, and problems that can occur, e.g., sample or response bias. Includes detailed examples of sampling error and sample bias.

Teachers can use Smart Exchange to download a SMART Notebook lesson covering the topic of sampling and misleading graphs.