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Statistics Education Web
Using Dice to Introduce Sampling Distributions
Investigate the meaning of a sample proportion using this hands-on activity. Scholars collect data and realize that the larger the sample size the more closely the data resembles a normal distribution. They compare the sample proportion...
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
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
Transforming Univariate Data
Learners analyze plotted data in this statistics lesson plan. They differentiate between skewed and normal data. They also explore and interconnect exponential growth and decay as it relates to the data.
Curated OER
Zoo Poo
Students use Internet research to determine the amount of carbon dioxide produced per unit energy for biomass and coal. In this alternative energy lesson, students research to find out how much energy and carbon dioxide several coal and...
Curated OER
The Election
Learners participate in an election. They are asked to vote for one of four candidates without knowing who they are or what they stand for. Students gain an important lesson when voting to make sure that security of freedom and...
Curated OER
Measures of Central Tendency
For 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
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.
Thinkport Education
Thinkport: Algebra Ii: Standard Deviation
Begin by reviewing mean absolute deviation as a measure of variability. Your new learning will begin with standard deviation and understanding the difference between mean absolute deviation and standard deviation.
Other
Vlps: Mean and Standard Deviation
Explanation of frequency distributions, mean, standard deviations, and variance including a Java Applet.
Google
Google for Education: Mean and Standard Deviation
This lesson demonstrates to students how to use standard deviation to better understand a set of data. Students use standard deviation to determine the general pattern or shape of a given set of data to draw more reliable conclusions.
Wolfram Research
Wolfram Math World: Standard Deviation
This World of Mathematics site by Eric Weisstein explains the term "Standard deviation." Provides step-by-step help, examples, and charts.
Michigan Technological University
Computing Mean, Variance and Standard Deviation
Page centered around a computer program to determine mean, variance, and standard deviation.
Science Education Resource Center at Carleton College
Serc: Understanding the Standard Deviation: What Makes It Larger or Smaller?
Students develop a better intuitive understanding of what is meant by variability in statistics. Emphasis is placed on the standard deviation as a measure of variability.
Stefan Warner and Steven R. Costenoble
Finite Mathematics & Applied Calculus: Mean, Median & Standard Deviation
Students learn about mean, median, variance, and standard deviation. The tutorial investigates the statistics concepts though class notes and examples. Review exercises are included.
Missouri State University
Missouri State U.: Statistics: Measures of Central Tendency and Variability
Provides lengthy explanations of the measures of central tendency - mean, mode, and median - and the measures of variability - range, variance, standard deviation. Graphs of interesting examples are presented as well, skewed...
CK-12 Foundation
Ck 12: Mean and Standard Deviation of Discrete Random Variables
[Free Registration/Login may be required to access all resource tools.] This Concept teaches students how to find the mean and standard deviation for discrete random variables.
Vision Learning
Visionlearning: Statistics: Using Mean, Median, and Standard Deviation
An introduction to recognizing trends and relationships in data through descriptive statistics.
Illustrative Mathematics
Illustrative Mathematics: S Id Sat Scores
Students will find solutions for a series of questions based on the assumption that SAT mathematics scores for a particular year are approximately normally distributed with a mean of 510 and a standard deviation of 100. Explanation and...
Illustrative Mathematics
Illustrative Mathematics: Measuring Variability in a Data Set
The purpose of this student task is to develop understanding of standard deviation. Aligns with S-ID.A.2 and S-ID.A.3.
Missouri State University
Missouri State University: Introductory Statistics: Statistics
This is an excellent resource on what the science of statistics involves. There are all kinds of definitions, examples, graphs, and charts to learn from. The topics covered include: mode, mean, median, skewed distributions and measures...
Calculator Soup
Calculator Soup: Descriptive Statistics Calculator
This is a statistics calculator; enter a data set and hit calculate. Descriptive statistics summarize certain aspects of a data set or a population using numeric calculations. Examples of descriptive statistics include: mean, average,...
Oswego City School District
Regents Exam Prep Center: Statistical Studies, Central Tendency, and Dispersion
The mathematics tutorial investigates statistical studies, central tendency, and dispersion. The lesson consists of class notes, calculator tips, examples, and practice problems with solutions. The teacher resource includes an activity...
Texas Instruments
Texas Instruments: How Close Is Close?
In this activity, students compute statistical measures like the mean, standard deviation, and variance of the data set. They understand how measures of variability can be interpreted.