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Introduction to Character Foils

During this lesson, students will view video clips and read texts that have character foils examples. Students will complete a graphic organizer with evidence that supports their identification of foil characters. Once complete, students will use the information from the graphic organizer to discuss character foils.

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Metacognitive Approaches to Student-based Learning

In this lesson, students will learn how to make complex inferences and draw conclusions about a work of literary fiction using a combination of text evidence and background knowledge. Using a graphic organizer and a short story, students will record both text evidence and their prior knowledge, and combine these elements to make an inference about the character.

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8.01 Introduction to Confidence Intervals

In this video, students will be introduced to the construction and interpretation of confidence intervals.

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8.02 Confidence Interval for One Mean

In this video, students will learn to construct a confidence interval for a population mean.

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8.03 Visualizing a Confidence Interval

In this video, students will learn to visualize the construction of a confidence interval.

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8.04 Interpreting Confidence Intervals

In this video, students will learn to interpret a confidence interval.

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8.05 Confidence Interval for One Proportion

In this video, students will learn to construct and interpret a confidence interval for one proportion.

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8.06 Factors Affecting the Width of a Confidence Interval

In this video, students will explore how the components of a confidence interval affect its width.

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8.07 Confidence Intervals in the Real World

In this video, students will analyze confidence intervals in the real world.

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7.01 Variability in Sample Proportions, Part 1

In this video, students describe and model variability using a binary population distribution and the sampling distribution of a sample proportion.

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7.02 Variability in Sample Proportions, Part 2

In this video, students learn to describe and model variability using a binary population distribution, and the sampling distribution of a sample proportion.

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7.03 Variability in Sample Means

In this video, students describe and model variability using a continuous population distribution, and the sampling distribution of a sample mean.

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7.04 Using the Central Limit Theorem

In this video, students use the central limit theorem to describe variability using a sample mean.

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9.01 Steps of Hypothesis Testing

In this video, students will learn the steps of hypothesis testing and how to interpret its results.

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9.02 Hypothesis Test for One Mean, Part 1

In this video, students will learn how to perform a hypothesis test for one mean.

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9.03 Hypothesis Test for One Mean, Part 2

In this video, students will learn how to perform a hypothesis test for one mean and interpret its results.

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9.04 Statistical Significance vs Practical Significance

In this video, students will learn the difference between statistical significance and practical significance.

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9.05 Hypothesis Test for One Proportion, Part 1

In this video, students will learn how to perform a hypothesis test for one proportion.

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9.06 Hypothesis Test for One Proportion, Part 2

In this video, students will learn how to perform and interpret a hypothesis test for one proportion.

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9.07 Type I and Type II Errors

In this video, students will learn about the potential impact of Type I and Type II errors.