What does it mean to be normal in the world of statistics? Pupils first explore the meaning of a normal distribution in the eight-lesson module. They then apply the statistics related to normal distributions such as mean, standard...

To drill or not to drill? An informative unit has scholars first research the advantages and disadvantages of oil drilling in Alaska. They set up and conduct a sample survey to assess attitudes toward oil drilling in a specific...

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.

Given problem situations that include given or collected data, the student will analyze the data and make inferences and convincing arguments based on the data.

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.

[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.

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

A detailed explanation of statistical sampling distributions is provided here. Several graphs are attached to aid in understanding. The sampling distribution of the mean and the Central Limit Theorem are also discussed at this site.

[Free Registration/Login may be required to access all resource tools.] This concept introduces the sampling distribution of the mean, inferring the population mean from samples and sampling error.

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

Students learn about sampling distributions and the Central Limit Theorem. Topics explored are sample mean, population mean, and using the Central Limit Theorem. The tutorial investigates the statistics concepts through class notes and...

This tutorial from Cornell University's College of Veterinary Medicine explains what a cross-sectional study is, its key characteristics, how to assess events and outcomes, and some special considerations when choosing sample...

In this activity, students will learn how to develop a sample survey while also using inferential statistics to solve real-world problems.

An introduction to inferential statistics to find relationships and patterns in datasets.