Students explore older people's perspectives on work and retirement by creating charts to reflect statistical trends and formulate interview questions. They write follow-up articles that record and comment on the attitudes of their...

Learners decide as a class what their data is going to be to graph. In this math lesson, students organize data so that it will be easier to display in a graph. Learners are guided through the process by their teachers, and helped with...

Students collect data about dairy production. In this geometry lesson, students formulate and model problem solving. They collect data and plot it on a graph.

Learners explore mean, median, and mode as they model mathematics in real-world problem situations. The lesson requires the use of the TI 30X IIS.

Time to experiment with mathematics! Learners study experimental design and how randomization applies. They emphasize the difference between random selection and random assignment and how both are important to the validation of the...

Just how confident can we be with statistics calculated from a sample? Learners take this into account as they look at data from a sample of petroleum engineer salaries. They analyze the effect sample size has on a margin of error and...

Here's a TI step by step guided lesson on matrices. The class enters data into the TI calculator about movie ticket sales and uses matrices as a problem solving tool. They add and multiply matrices to determine profit.

Teach your class how to use descriptive statistics through a hands-on data collection activity. Pupils collect their own data, calculate test statistics, and interpret the results in context. They compare male and female results, looking...

Which dot am I? Pupils create dot plots to represent sample data through the use of frequency tables. The third segment in a series of 22 asks individuals to analyze the dot plots they created. The scholars translate back and...

How high can your pupils jump? Learners design an experiment to answer this question. After collecting the data, they create box plots and scatter plots to analyze the data. To finish the lesson, they use the data to draw conclusions.

Using a 2002 California Gray David recall vote as an example, young statisticians  identify sources of bias in samples and find ways of reducing and eliminating sampling bias. They consider ways to select random samples from a...

Does writing the name of a color in a different colored ink affect one's ability to read it? Scholars design an experiment to answer this question. They collect the data, analyze the statistics, and draw a conclusion based on...

Scholars research arm span to determine who gives the best bear hugs. They use data from a national study to find the standard statistics for arm span. It includes mean, median, quartiles, spread, standard deviation, and more.

Quick! Snap up the lesson. Scholars first use an online app to collect data on reaction times by clicking a button when the color of a box changes. They then plot and analyze the data by considering measures of center, measures of...

Explore politics by analyzing the voting process. Pupils discuss the purpose of casting votes in an election, then examine graphs based on the data from a previously held election's turnout. The lesson concludes as they answer study...

Your statisticians examine the characteristics of conditional probability and the probability of simultaneous independent events. They perform computer activities to find probabilities for simple compound events. They examine the...

Is there a way to measure variability? The ninth resource in a series of 22 introduces mean absolute deviation, a measure of variability. Pupils learn how to determine the measure based upon its name, then they use the mean...

It's not a sprint, it's a marathon! Statistic concepts take time to develop and understand. A guided activity provides an opportunity for individuals to practice their linear regression techniques in spreadsheet software. The activity...

Scholars investigate the spread of associated data sets by comparing the data sets to determine which has a greater variability. Individuals then interpret the mean as the typical value based upon the variability.

High schoolers analyze environmental science data using Math. They do research about renewable energy, gather data, create graphs and interpret their findings. Then the group presents their arguments persuasively using their findings to...

A fun, engaging lesson is definitely in the cards for your future. Pupils explore a deck of playing cards in the fifth of six parts in the Statistics and Probability series to learn about its suits and the number of each card type. They...

It's all relatively simple once you get the gist. Young mathematicians learn about sample spaces and simple probability by conducting an activity with dice. To complete the second of six parts in the Statistics and Probability unit, they...

Flip a coin: heads, use the resource; tails, use the resource. The fourth of six installments of the Statistics & Probability unit looks at coin tosses and probability. The class conducts an experiment and sees that the outcomes of...

Introduce line plots, show examples of tables, graphing on a number line, and engage in a class discussion. Share the process by which statistical data is organized and displayed on a number line. Examples and worksheets are included....