Curated OER
Measuring Dispersion
Students compute the standard deviation for a given set of data. In this measuring dispersion lesson, students compute the mean, and then the distance from the mean for each data point. They find the standard deviation of the data.
Virginia Department of Education
Analyzing and Interpreting Statistics
Use measures of variance to compare and analyze data sets. Pupils match histograms of data sets to their respective statistical measures. They then use calculated statistics to further analyze groups of data and use the results to make...
Georgia Department of Education
Math Class
Young analysts use real (provided) data from a class's test scores to practice using statistical tools. Not only do learners calculate measures of center and spread (including mean, median, deviation, and IQ range), but...
EngageNY
Using a Curve to Model a Data Distribution
Show scholars the importance of recognizing a normal curve within a set of data. Learners analyze normal curves and calculate mean and standard deviation.
Curated OER
Hypothesis Testing: Claim on Mean; Population Standard Deviation Known
For this standard deviation worksheet, students are given statistical data in a story problem. They use a level of significance to test the claim given by the data. This worksheet contains three problems.
EngageNY
Sampling Variability in the Sample Mean (part 2)
Reduce variability for more accurate statistics. Through simulation, learners examine sample data and calculate a sample mean. They understand that increasing the number of samples creates results that are more representative of the...
Curated OER
Using Computer for Statistical Analysis
Students use the computer and S'COOL data for statistical analysis.
Statistics Education Web
It’s Elemental! Sampling from the Periodic Table
How random is random? Demonstrate the different random sampling methods using a hands-on activity. Pupils use various sampling techniques to choose a random sample of elements from the periodic table. They use the different samples to...
Curated OER
Statistics
High schoolers log their computer usage hours. They determine the mean, median, mode and standard deviation of the collected data. They make a frequency histogram of the grouped data, both on graph paper, and on the TI 83+ graphing...
Curated OER
Do Objects Vary Very Much?
Students examine the concept of standard deviation, calculating mean, and collecting data. They measure the standard deviation in a bag of M&M candy, record the data, and calculate the mean.
Curated OER
The Bell Curve
Students explore the concept of the bell curve. In this bell curve lesson, students discuss the controversy associated with the bell curve. Students use an applet to explore a normal distribution. Students discuss mean, median, mode,...
Curated OER
Standard Deviation
Students find city temperatures and analyze their means to find the standard deviation. They calculate the standard deviation of monthly temperature means.
Curated OER
Using Computers for Statistical Analysis of Weather
High schoolers use temperature, cloud cover and other weather data from the S'COOL website to statistically analyze weather around the country. They use computers to calculate and graph standard deviations, means and modes of the...
American Statistical Association
What is the Probability of “Pigging Out”
Learners apply their understanding of luck to a probability experiment. They play a game of Pass the Pigs to determine the probability of a specific outcome. Using analysis for their data, pupils declare the measures of center, dot...
Curated OER
Variance and Covariance: How much to do baseball players really make?
Is baseball really the road to riches? Here, statisticians look at salary data from baseball players and use variance to measure the spread of the data to more accurately answer that question. Note: The salary data provided is from 1994,...
EngageNY
Margin of Error When Estimating a Population Mean (part 2)
Don't leave your classes vulnerable in their calculations! Help them understand the importance of calculating a margin of error to represent the variability in their sample mean.
EngageNY
Margin of Error When Estimating a Population Mean (part 1)
We know that sample data varies — it's time to quantify that variability! After calculating a sample mean, pupils calculate the margin of error. They repeat the process with a greater number of sample means and compare the results.
Curated OER
Hypothesis Testing: Claim on Mean; Population Standard Deviation Unknown
In this statistics worksheet, students test given claims using traditional methods of hypothesis testing. Students assume that sampling is randomly generated.
Statistics Education Web
Walk the Line
How confident are you? Explore the meaning of a confidence interval using class collected data. Learners analyze data and follow the steps to determine a 95 percent confidence interval. They then interpret the meaning of the confidence...
Curated OER
A RealSim Surface Look at Descriptive Statistics
Learners explore the concepts of mean and variance. They observe properties of materials to their basic atomic or molecular structure. Students use spreadsheet software to record, tabulate and analyze collected information.
EngageNY
Sampling Variability in the Sample Mean (part 1)
How accurate is data collected from a sample? Learners answer this question using a simulation to model data collected from a sample population. They analyze the data to understand the variability in the results.
Curated OER
Measures of Spread
Students explore the concept of measures of spread. In this measures of spread lesson, students calculate the standard deviation for a set of data. Students use the standard deviation to analyze and describe the set of data. Students...
Curated OER
Data Analysis
Students examine techniques to represent data. In this data analysis lesson, students read about various ways to represent data, such as a stem and leaf diagram and calculating standard deviation. Students complete data analysis...
Curated OER
Basic Stats
In this chemistry worksheet, young scholars focus upon the concepts of mean and standard deviation and how it is used in the laboratory to interpret data.