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Drawing Conclusions about Three-Dimensional Figures from Nets

Given a net for a three-dimensional figure, the student will make conjectures and draw conclusions about the three-dimensional figure formed by the given net.

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6.01 Probability and the Law of Large Numbers

In this video, students are introduced to the concept of probability using the Law of Large Numbers.

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6.02 Probability Terminology

In this video, students learn key terminology associated with probability.

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6.03 Venn Diagrams

In this video, students represent and calculate probabilities using Venn diagrams.

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6.04 Independent and Mutually Exclusive Events

In this video, students calculate probabilities for independent events and mutually exclusive events.

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6.05 Contingency Tables

In this video, students calculate probabilities using a two-way contingency table.

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6.06 Tree Diagrams

In this video, students calculate conditional probabilities using a tree diagram.

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6.07 Discrete Random Variables

In this video, students are introduced to discrete random variables.

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6.08 The Binomial Distribution

In this videos, students use the binomial distribution to find the expected value, variance, and probabilities associated with a binomial random variable.

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6.09 Binomial Approximation

In this videos, students approximate the binomial distribution with the normal distribution for large samples.

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4.01 Frequency Tables

In this video, we introduce frequency and relative frequency tables.

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4.02 Cumulative Frequency Tables

In this video, students will construct cumulative frequency tables.

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4.03 Dot Plots and Comparing Distributions

In this video, we construct our first visual beyond listing data: dot plots. We also begin our discussion of center, shape, spread, and outliers, and compare dot plots.

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4.04 Stemplots and Comparing Distributions

In this video, we construct and compare stemplots, and continue our conversation about shape, center, spread, and outliers.

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4.05 Histograms and Comparing Distributions

In this video, we construct histograms and use them to compare data distributions.

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4.06 Box Plots and Comparing Distributions

In this video, we construct box plots and use them to compare data distributions. We also compare box plots and histograms.

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11.01 Scatterplots

In this video, students will analyze scatterplots for strength, direction, and form, and identify potential outliers.

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11.02 Correlation

In this video, students will interpret the correlation coefficient.

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11.03 Determining the Line of Best Fit

In this video, students will determine the line of best fit using least-squares regression.

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11.04 Making Predictions

In this video, students will use the line of best fit to make predictions for a value of *y* given a value of *x*.