Curated OER
Influence and Outliers
Using the TI-Nspire calculator, statisicians identify outliers and their effect on the least-squares regression line. In finding the line of best fit, they determine what points will affect the least squares regressions and what points...
Curated OER
Range, Cluster, Gap and Outliers
There are a number of activities here where learners collect and record data, as well as, activities where the likelihood of an event happening is calculated given the experimental probability. Young statisticians organize information...
Curated OER
Animal Brains
Do big bodies make big brains? Let your learners decide whether there is an association between body weight and brain weight by putting the data from different animals into a scatterplot. They can remove any outliers and then make a line...
Curated OER
Statistics Canada
Young scholars practice using graphing tools to make tables, bar charts, scatter graphs, and histograms, using census data. They apply the concept of measures of central tendency, examine the effects of outliers. They also write...
Curated OER
Mean, Median and Mode
Young statisians work with sets of data. They find mean, median and mode, and discuss the effects of outliers on the data set.
Curated OER
Mean, Median, Mode, Range
Learners engage in a study of mean, median, mode, and range in order to represent data in tables. They are also exposed to the results of data that is skewed because of the outlier.
EngageNY
Patterns in Scatter Plots
Class members investigate relationships between two variables in the seventh installment of a 16-part module that teaches scholars how to find and describe patterns in scatter plots. Young mathematicians consider linear/nonlinear...
Curated OER
Hand Span and Height
Is there a relationship between hand span width and height? Statisticians survey each other by taking measurements of both. A table that can hold data for 24 individuals is printed onto the worksheet, along with questions for analysis....
Curated OER
Interpreting and Displaying Sets of Data
Students explore the concept of interpreting data. For this interpreting data lesson, students make a line plot of themselves according to the number of cubes they can hold in their hand. Students create their own data to graph and...
Curated OER
Is There A Formula for People?
Young scholars explore proportions which are typical of the human body. Given a list of classic proportions from earlier centuries, students work in pairs to test the validity of the proportions. Pupils share their personal...
Curated OER
Data Analysis and Probability
Learners make their own puzzle grid that illustrates the number of sit-ups students in a gym class did in one minute, then they make a histogram for this same data. Then they title their graph and label the scales and axes and graph the...
Curated OER
Linear Regression and Correlation
Learners explore scatter plots. In this linear regression lesson, groups of pupils graph scatter plots and then find the line of best fit. They identify outliers and explain the correlation. Each group summarizes and shares their...
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.
C-SPAN
Primary and Secondary Sources: Trailblazers in Congress
Trailblazers forge the path into uncharted territory, they establish a precedent for others to follow. Young historians research trailblazers in Congress using primary and secondary sources to profile outliers that changed the face of...
Curated OER
Using a Statistical Procedure To Search A Database For Out of the Ordinary Values
Learners develop a spreadsheet containing formulas and find summaries for them. In this investigative lesson students choose a topic, investigate it and use MS Excel to sort data.
Curated OER
Multiply Boxplots
Students identify the mean, quartiles and range of a boxplot. In this statistics activity, students identify cooperative boxplot as it relates to the data. They make conjectures about students grade distribution.
Statistics Education Web
How High Can You Jump?
How high can your pupils jump? Learners design an experiment to answer this question. After collecting the data, they create box plots and scatter plots to analyze the data. To finish the lesson, they use the data to draw conclusions.
Statistics Education Web
10,000 Steps?
Conduct an experiment to determine the accuracy of pedometers versus pedometer apps. Class members collect data from each device, analyze the data using a hypothesis test, and determine if there is a significant difference...
K20 LEARN
You’re The Network: Data Analysis
How do you rate? Young scholars use graphical data to analyze ratings of different television episodes. Their analyses include best-fit lines, mean, median, mode, and range.
Workforce Solutions
30 Seconds
Thirty seconds are all scholars have to develop an engaging commercial to showcase their talents and experience within a specific occupation. Pairs work collaboratively to keep each other on time to deliver information speedily and ask...
American Statistical Association
A Tale of One City and Two Lead Measurements
Lead the way in learning about lead contamination. Pupils first read several articles about the Flint water crisis and the EPA's rules for lead concentration. They use provided data from 71 Flint water wells to compute the 90th...
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
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
Mean, Median and Mode
Students define mean, median, mode and outliers. In this statistics lesson plan, students analyze data using the central tendencies. They follow a path through a maze collecting data. They analyze the data using the mean, median and mode.
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