Curated OER
Sampling Distributions
Students analyze sampling from different population. In this statistics lesson, students define the meaning of sample sizes and what causes an increase or decrease. They graph their data on the Ti calculator and draw conclusion from the...
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
Technology vs. Nontechnology
Fourth graders determine the range, mean, median and mode using a computer spreadsheet. An identical set of calculations is done without using a computer. The results of each method are compared. They calculate the mode, median and range...
Curated OER
Weather temperatures
Students investigate the given statistics about temperatures in cities around the nation in order to look for a pattern. They measure the mean, median, and mode for the data set of temperatures.
Curated OER
Statistically Lyrical
Students examine and discuss the writing of ratios as fractions and where they can be found in the real world. They complete worksheets and a questionnaire, and calculate the mean, median, and mode scores for the class.
Achieve
BMI Calculations
Obesity is a worldwide concern. Using survey results, learners compare local BMI statistics to celebrity BMI statistics. Scholars create box plots of the data, make observations about the shape and spread of the data, and examine the...
Statistics Education Web
Consuming Cola
Caffeine affects your heart rate — or does it? Learners study experimental design while conducting their own experiment. They collect heart rate data after drinking a caffeinated beverage, create a box plot, and draw conclusions. They...
Statistics Education Web
Sampling in Archaeology
Compare different random sampling types using an archaeological setting. Scholars collect data from an archaeological plot using simple random samples, stratified random samples, systematic random samples, and cluster random samples....
Statistics Education Web
Saga of Survival (Using Data about Donner Party to Illustrate Descriptive Statistics)
What did gender have to do with the survival rates of the Donner Party? Using comparative box plots, classes compare the ages of the survivors and nonsurvivors. Using the same method, individuals make conclusions about the gender and...
College Board
Three Calculator Simulation Activities
Calculators sure come in handy. An AP® Statistics instructional resource provides suggestions for using calculator simulations. It gives activities for adding variances, normal probability plots, and t distributions.
College Board
Is That an Assumption or a Condition?
Don't assume your pupils understand assumptions. A teacher resource provides valuable information on inferences, assumptions, and conditions, and how scholars tend to overlook these aspects. It focuses on regression analysis, statistical...
Georgia Department of Education
The Basketball Star
Have learners use math to prove they are sports stars! Assess a pupil's ability to create and analyze data using a variety of graphs. The class will be motivated by the association of math and basketball data.
Curated OER
Exploring the Normal Curve Family
Young scholars find different characteristics of the bell curve. In this statistics lesson, students analyze a family for a specific characteristic. They identify the shape, center, spread and area as they analyze the characteristic of...
Curated OER
Empirical Rule Practice Problems
Using the empirical rule for a normal distribution, young statisticians determine the percent of adult women with given heights and weights. They find the percentile rank of a woman of a stated height and find the area under a curve.
Curated OER
Z-Scores related to Psychology
In this z-score worksheet, students identify the z-scores and percentiles corresponding to thirteen values. Students are also asked to find two probabilities. Worked solutions are provided after each question.
Curated OER
Measures of Central Tendency
In this Algebra I worksheet, 9th graders determine the measures of central tendency for a given data set. The one page worksheet contains four problems. Answers are provided.
Curated OER
Transforming Univariate Data
Learners analyze plotted data in this statistics instructional activity. They differentiate between skewed and normal data. They also explore and interconnect exponential growth and decay as it relates to the data.
Curated OER
Infusing Equity Gender into the Classroom
Students investigate if gender makes a difference in the classroom. For this statistics lesson, students collect data on whether equity by gender in the classroom makes students more successful.
West Contra Costa Unified School District
Comparing Data Displays
There is so much more to data than just numbers, and this resource has learners use three methods of comparing data in a multi-faceted lesson. The 21-page packet includes a warm-up, examples, an activity, and assessment for a complete...
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
Algebra 2/Trigonometry Regents Exam
Students review for the Regents Exam. In this math lesson plan, students review core concept for the Regents exam by working a variety of problems. A printable worksheet is provided.
Curated OER
Stemmin'-n-Leafin'
Learners make stem and leaf charts to determine the measures of central tendency using test score data. They analyze the data to draw inferences which they share with the class. They complete the associated worksheets.
Curated OER
Lyrics Statistics
Students describe, analyze and generalize relationships, patterns, functions using words. symbols, variables, tables and graphs.
Curated OER
Statistical Analysis of Data by Gender
Students examine and identify gender bias, stereotyping, and discrimination in school materials, activities, and classroom instruction. They apply descriptive statistics knowledge to real-world data.