EngageNY
Sampling Variability in the Sample Proportion (part 2)
Increase your sample and increase your accuracy! Scholars complete an activity that compares sample size to variability in results. Learners realize that the greater the sample size, the smaller the range in the distribution of sample...
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.
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...
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.
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 activity, 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 learning exercise, 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
Box Plots
In this statistics worksheet, students analyze problems by finding the mean, median and mode. They also set data by their median, and quartiles. There are 7 questions dealing with 2 different sections.
Curated OER
Ants
Students make sequential patterns by using ants and following the model. They identify different parts of an ant by matching the picture to the word name. Pupils identify the ant's life cycle by creating a chart using pictures.
Curated OER
Infusing Equity Gender into the Classroom
Students investigate if gender makes a difference in the classroom. In this statistics lesson plan, students collect data on whether equity by gender in the classroom makes students more successful.
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.
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...
Noyce Foundation
Baseball Players
Baseball is all about statistics. Pupils solve problems related to mean, median, and range. They calculate the total weight of players given the mean weight, calculate the mean weight of reserve players given the mean weight of 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
Sampling Distributions
Learners analyze sampling from different population. In this statistics lesson plan, 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...
Curated OER
Stemmin'-n-Leafin'
Students 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
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
Lyrics Statistics
Students describe, analyze and generalize relationships, patterns, functions using words. symbols, variables, tables and graphs.
Curated OER
Exercise Those Statistics!
Students participate in various activities, measuring their pulse rates and recording the data. They analyze the statistical concepts of mean, median, mode, and histograms using the data from the cardiovascular activities.
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.
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