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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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Converting Between Measurement Systems

Given a real-world situation with measurements in either metric/SI or customary units, the student will solve a problem requiring them to convert from one system to the other.

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Evaluating Methods of Sampling from a Set of Data

Given a problem situation, the student will evaluate a method of sampling to determine the validity of an inference made from the set of data.

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Using Multiplication by a Constant Factor

Given problems involving proportional relationships, the student will use multiplication by a constant factor to solve the problems.

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Predicting, Finding, and Justifying Data from a Table

Given data in table form, the student will use the data table to interpret solutions to problems.

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Estimating and Finding Solutions to Problems Involving Similarity and Rates

Given application problems involving similarity and rates, the student will estimate and determine the solutions to the problems.

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Generating Similar Figures Using Dilations

Given a figure, the student will identify the scale factor used for a dilation, and use a dilation by a scale factor, including enlargements and reductions, to generate similar figures.

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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.