Have you ever wanted to take a short cut? How about when doing your math homework? In this experiment you can learn how estimation can save you time doing math calculations. But beware, some estimations are better than others. Can you...

[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.

Determining the population in a larger area by tagging. By using proper scientific method and careful sampling procedures, students learn how biologists work in the field to collect data about a population. Students will also calculate...

[Free Registration/Login Required] This is a formative assessment task where learners are asked to estimate the population of Utah based on information given about its population density and the perimeter of its state boundaries. Samples...

This site gives a description of a sample (of a population). The page offers information on various types of sampling. There are links to related terms, everyday examples, more information, and the interactive check point involving...

In this lesson, students can explore the techniques of census and population counting by inferring numbers of a virtual population illustrated within a rectangular sampling grid, and observing the accuracy of the technique in relation to...

Estimate the size of a large population (fish in a bay) by applying the concepts of ratio and proportion through the capture-recapture statistical procedure.

Details the following issues that should be considered when selecting the survey method: population, sampling, questionnaire, bias, and administration.

Work samples, phenomena, assessment templates, and videos that directly address standard MS-LS2-1: effects of resource availability.

This site contains definitions to use in statistics and ways to collect data.

Calculate basic summary statistics for a sample or population data set including minimum, maximum, range, sum, count, mean, median, mode, standard deviation and variance.