EngageNY
Normal Distributions (part 1)
Don't allow your pupils to become outliers! As learners examine normal distributions by calculating z-scores, they compare outcomes by analyzing the z-scores for each.
Shodor Education Foundation
Skew Distribution
Slide the class into a skewed view. Learners alter the location of the median relative to the mean of a normal curve to create a skew distribution. They compare the curve to a histogram distribution with the same skewness.
101 Questions
Class Height Distribution
A picture is worth a thousand words, and this is no exception! The introductory photo shows a group of classmates lined up in height categories; females and males are in different colors, and the shape of the curve they create is...
Curated OER
The Bell Curve
Learners are introduced to the concepts of the normal curve, skewness and the standard deviation. They discuss how the normal distribution has been used and misused to support conclusions.
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...
Curated OER
The Bell Curve
Students are introduced to the normal distribution and examine the bell curve controversy.
Curated OER
The Bell Curve
Learners explore the concept of the bell curve. In this bell curve lesson, students discuss the controversy associated with the bell curve. Learners use an applet to explore a normal distribution. Students discuss mean, median, mode,...
Statistics Education Web
Now You SeeIt, Now You Don't: Using SeeIt to Compare Stacked Dotplots to Boxplots
How does your data stack up? A hands-on activity asks pupils to collect a set of data by measuring their right-hand reach. Your classes then analyze their data using a free online software program and make conclusions as to the...
Curated OER
Normal Probability Plot
Students 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.
Curated OER
Human Face of Mathematics - Mathematics in Aboriginal Culture
Students collect statistical data. In groups, students play a dart game and then determine the distance between darts. They collect the data and plot the information on a coordinate plane. They identify the mean and the...
Curated OER
Transforming Univariate Data
Learners analyze plotted data in this statistics lesson. They differentiate between skewed and normal data. They also explore and interconnect exponential growth and decay as it relates to the data.
Curated OER
The Power of Graphical Display: How to Use Graphs to Justify a Position, Prove a Point, or Mislead the Viewer
Analyze different types of graphs with learners. They conduct a survey and determine the mean, median and mode. They then identify different techniques for collecting data.
Missouri State University
Missouri State University: Introductory Statistics: The Normal Curve
Provides lengthy explanations of the measures of central tendencies - mean, mode, and median - and the measures of variability - range, variance, standard deviation - are given here. Graphs of interesting "side items" are presented as...
Shodor Education Foundation
Shodor Interactivate: Skew Distribution
Change the median and standard deviation of an automatically generated normal distribution to create a skewed distribution, allowing you to observe properties like what it means for the mean, median, and mode to be different.
Science Struck
Science Struck: Types of Skewed Distribution With Real Life Examples
Explains what is meant by a skewed distribution, describes the two types, and gives examples.
Texas Instruments
Texas Instruments: Sampling Distributions
Students study the distribution of sample proportions with a simulation. They find a small sample size leads to skewed distribution and as the sample size increases, the distribution becomes more normal.