Groups collect data describing the number of times a bag of microwave popcorn pops at given intervals. Participants discover that the data fits a normal curve and answer questions based on the distribution of this data.

For whom does the bell fit? Pupils begin by working in groups gather data on three different variables. They then determine the mean and standard deviation of each data set and create bell curves. To finish, they answer guiding questions...

Pupils work to find probabilities by using areas under the normal curve. Groups work to calculate z-scores and solve real-world problems using the empirical rule or tables.

Normalizing a binomial distribution — determine when it is all right. Given the rule of thumb of when it is appropriate to use the normal distribution to approximate a binomial distribution, pupils look at different scenarios....

Does the size of the bin matter? The resource allows pupils to explore the relationship between the normal curve and histograms. Learners view histograms compared to a normal curve with a set standard deviation. Using the interactive,...

There's nothing normal about an extraordinary resource. Scholars change the dimensions of a normal distribution using a slider interactive. Determining the area under the graph gives probabilities for different situations.

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. 

To recall or not to recall, that is the question. Using provided data, pupils calculate the percent of people that may fall ill on average. The scholars determine the standard deviation based upon the mean and the empirical rule,...

Students find different characteristics of the bell curve. For 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 the...

Young scientists learn about sampling and normal distributions through data analysis. A worksheet guides them to better understanding and synthesis of knowledge.

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. 

Show scholars the importance of recognizing a normal curve within a set of data. Learners analyze normal curves and calculate mean and standard deviation.

Nobody is too old to learn something new. Young statisticians analyze census data on the percentage of the population older than 65 years old in US counties. They fit a normal distribution to the data, determine the mean and standard...

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.

Don't be normal ... be exceptional in understanding statistics. Pupils analyze six different sets of census data using histograms or normal probability plots to determine whether each data set fits a normal distribution. They then get...

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...

The way you use statistics can tell different stories about the same set of data. Here, learners use sets of data to determine which person sends the most text messages. They use random sampling to collect their data and calculate a...

Students investigate normal distribution.  In this statistical analysis lesson students investigate the variety of circumstances in which the normal distribution can be used.  Students apply the normal distribution to solve...

From z-scores to probability. Learners put together the concepts from the previous lessons to determine the probability of a given range of outcomes. They make predictions and interpret them in the context of the problem.

Fine the normality of fall measurements. Pairs collect measurements of fall leaves and one other fall object. Using the measurements, the groups determine the descriptive statistics for the object and using the Empirical Rule, figure out...

Learners engage in six activities to lead them through the process of conducting a thorough analysis of data. Pupils work with calculating standard deviations and z-scores, finding the area under a normal curve, and sampling...

In this statistics and probability worksheet, young statisticians solve and complete 13 different problems related to probability, percentages, and normal distributions. They consider data models, assumptions about the models, and find...

Are you taller than a Major League Baseball player? Future mathematicians learn about normal distributions, percentiles, z-scores, and areas under a normal curve. They use the concepts to analyze height data of Major League Baseball...

It's completely normal to learn about normal distributions. An engaging lesson has young statisticians collect and analyze data about their classmates as well as players on the school's football team. They determine whether each set of...