Curated OER
Education for Global Peace
Learners survey the class and graph the results. In this graphing and data collection lesson, students conduct a survey to see where their shirts were produced. Individuals use software to graph the results and create a written...
Curated OER
Bringing Statistics Alive
Students compute mean, median and mode and compare mean, median and mode to a real-world application to identify their practical uses. They apply mean, median and mode to real-world statistical data. Finally, students organize data into...
Statistics Education Web
I Always Feel Like Somebody's Watching Me
Future statisticians and potential psychics first conduct an experiment to collect data on whether a person can tell if someone is staring at them. Statistical methods, such as hypothesis testing, chi-square tests, binomial tests, and...
Statistics Education Web
Who Sends the Most Text Messages?
The way you use statistics can tell different stories about the same set of data. Here, learners use sets of data to determine which person sends the most text messages. They use random sampling to collect their data and calculate a...
Curated OER
Starting With Stats
Statisticians analyze a data set of student IQs by finding measures of central tendency and dispersion such as mean, median, mode, and quartiles. They practice using a graphing calculator to find the values and analyze box plots and...
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 also use this...
Curated OER
Sampling Bias And the California Recall
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...
Curated OER
Chances Are......You're Right
Young mathematicians study probability. In this math lesson, learners calculate odds, and convert those into percentages of probability. Fractions are also used, making this lesson quite rich in some of the more difficult conversions...
Curated OER
It Has Been Rubbish For Years
Students are presented with the problems of percentages and focus upon numbers in contrast to 100. They calculate problems with money and are engaged with the use of games as a teaching tool. Students also interpret data as presented in...
Curriculum Corner
7th Grade Math Common Core Checklist
With so many math standards to fit into a school year, it can be difficult keeping track of what you have and have not covered. This collection of Common Core checklists allows you to maintain a running record of when each standard was...
Curriculum Corner
8th Grade Math Common Core Checklist
Ensure your eighth graders get the most out of their math education with this series of Common Core checklists. Rewriting each standard as an "I can" statement, this resource helps teachers keep a record of when each standard was taught,...
Curated OER
How Many?
Students investigate concepts related to data collection and interpretation. They generate all possible outcomes in a beginning study in the realm of statistics. The use of real life situations helps to engage students.
Curated OER
Analyzing Country Data
Young scholars analyze different data in percentage form. In this statistics lesson, students plot data using box-plots, dotplot, and histogram. They compare and contrast the collected data using the boxplot.
Curated OER
Assessing Normalcy
Students define normal distribution as it relates to the bell curve. In this statistics lesson, students use the central tendencies of mean, median and mode to solve problems. They plot their data and draw conclusion from the graphs.
Curated OER
What is a P-value?
Students test the hypotheses using p values. In this statistics lesson, students define and examine conditional probability. They test each statement for a true statement or a false statement, based on the sample size.
Curated OER
How to Make Histograms
Young scholars collect data and plot it using a histogram. In this statistics lesson plan, students interpret histograms. They find the frequency, percents and density.
Curated OER
Boxplots Introduction
Students describe the pattern of a bell curve graph. In this statistics lesson, students move data around and make observation about the mean, and the quartiles. They define boxplot, outlier, range and other important vocabulary words...
Curated OER
Multiply Boxplots
Students identify the mean, quartiles and range of a boxplot. In this statistics lesson plan, students identify cooperative boxplot as it relates to the data. They make conjectures about students grade distribution.
Curated OER
Center and Spread
Students collect and analyze data. In this statistics lesson, students define and calculate the range, median and standard deviation. They identify reasons for a skewed distribution.
Curated OER
Measure of Spread
Students identify the standard deviation. In this statistics lesson, students find the mean distribution and calculate the percent of deviation from the mean. They observe this change on the Ti calculator.
Curated OER
How Far is Far?
Students calculate the standard deviation of data. For this statistics lesson, students collect data, plot it and analyze it. They identify the mean, median and range of their data.
Curated OER
Center of Mass
Students identify the geometric mean of their data. In this statistics lesson plan, students collect data and graph their findings. They identify the mean, range and mode.
Curated OER
Z-Scores
Young scholars solve problems by identifying the percent of area under the curve. In this statistics lesson, students discuss z-scores as they calculate the different percentages under the bell curve. They calculate the standard deviation.
Curated OER
Normal Probability Plot
Pupils analyze the graph of a distribution. In this statistics lesson, students define skewed or mound shape distribution as they investigate the data behind the graph. They define and plot outlier as well as normal probability.