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A Fun Introduction to Probability
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Description

This product contains fourteen pages that introduce probability by graphing the LEGOs and comparing the number of studs on LEGO bricks. These statistics will be figured in fractions, decimals and percentages. Graphing will be done on bar graphs and pie graphs. The worksheets are colorful and engaging for students. Students will learn to find the mean, median and mode of different numbers of studs on LEGO bricks. Students will find their own statistics and combine them with the statistics of others to have a bigger sampling and provide more accurate data.

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A Fun Introduction to Probability

Debby Elliott
1 Follower
$8.00

Highlights

Digital downloads
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Grades
4th - 9th
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Standards
Pages
9

Description

This product contains fourteen pages that introduce probability by graphing the LEGOs and comparing the number of studs on LEGO bricks. These statistics will be figured in fractions, decimals and percentages. Graphing will be done on bar graphs and pie graphs. The worksheets are colorful and engaging for students. Students will learn to find the mean, median and mode of different numbers of studs on LEGO bricks. Students will find their own statistics and combine them with the statistics of others to have a bigger sampling and provide more accurate data.

Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

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Standards

to see state-specific standards (only available in the US).
Understand that statistics can be used to gain information about a population by examining a sample of the population; generalizations about a population from a sample are valid only if the sample is representative of that population. Understand that random sampling tends to produce representative samples and support valid inferences.
Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. Generate multiple samples (or simulated samples) of the same size to gauge the variation in estimates or predictions. For example, estimate the mean word length in a book by randomly sampling words from the book; predict the winner of a school election based on randomly sampled survey data. Gauge how far off the estimate or prediction might be.
Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability. For example, the mean height of players on the basketball team is 10 cm greater than the mean height of players on the soccer team, about twice the variability (mean absolute deviation) on either team; on a dot plot, the separation between the two distributions of heights is noticeable.
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